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31results about How to "Enhance edge information" patented technology
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HDR image fusion method based on a plurality of LDR images with different exposure degrees
InactiveCN107220956AImprove directionEnhance edge informationImage enhancementImage analysisDecompositionImage fusion
The invention discloses an HDR image fusion method based on a plurality of LDR images with different exposure degrees. The method comprises the following steps: step one, carrying out dark-bright region division on a plurality of inputted LDR images with different exposure degrees and calculating weight maps of the images according to contrast ratios, saturability values, exposure degrees, and brightness of the images in all regions; and step two, carrying out image decomposition by using a gradient pyramid and carry out image fusion in a multi-resolution manner. Compared with the prior art, the method has the following beneficial effects: because of usage of the gradient pyramid instead of a Laplacian pyramid during the fusion process, the image direction and edge information is increased and thus the generated HDR image effect is good; the image brightness information is considered during weight solving, so that the generated HDR image has the bright color, high contrast ratio, and clear image details; and the HDR image fusion method has the good referential significance in the HDR image field.
Owner:TIANJIN UNIV
Image fusion system based on low-light and infrared sensor
ActiveCN108154494AEnhance edge informationImprove registration accuracyImage enhancementImage analysisImage denoisingCo-processing
The invention relates to an image fusion system based on a low-light and infrared sensor. The system is divided into a low-light and infrared sensor information acquisition module, an FPGA core processing module, a DSP co-processing module and an output display module; video images collected by the external low-light and infrared sensor are input to a device through an interface; the input video images are subjected to image preprocessing including image denoising, image enhancement and image registration, wherein image denoising and image enhancement are low in delay requirement and are achieved in an FPGA chip, the computation amount required for an image registration algorithm is large, and image registration is achieved in a DSP chip; the pre-processed video images are fused through the FPGA chip, wherein grayscale fusion and pseudo-color fusion are included; an FPGA control logic can select one path of images to be output through the interface, wherein one path of images include asingle low-light video, a single infrared video, a grayscale fused video and a pseudo-color fused video. The image fusion system is high in precision, low in delay and good in expansibility and has important practical significance on nighttime observation and exploration application.
Owner:BEIHANG UNIV
Intelligent monitoring system for power cable production process
ActiveCN110458157AImprove intelligencePrevent ArtifactsImage enhancementImage analysisIntelligent lightingWireless transmission
The invention discloses an intelligent monitoring system for a power cable production process. The system comprises an image acquisition assembly, a sensor assembly, a wireless transmission module, anintelligent monitoring center and a danger alarm module. The sensor assembly is used for collecting environmental data and temperature data of the surface of power cable production equipment And transmitting the acquired data to the intelligent monitoring center; the intelligent monitoring center processes the received data and compares the processed data with a preset safety threshold value; andwhen the data is higher than a preset safety threshold value, the danger alarm module gives an alarm, image acquisition is carried out on the position where the sensor node for acquiring the data islocated through the image acquisition assembly, and the acquired image is displayed after being processed. The beneficial effects of the invention are that the system achieves the effective monitoringof the environment of a power cable production workshop and the operation state of power cable production equipment, and improves the monitoring intelligence of a power cable production process.
Owner:JIANGXI PACIFIC CABLE GRP CO LTD
Touch screen-oriented finger outer skeleton wearable force-touch sense interaction device
ActiveCN106502393AEnhance edge informationIncrease authenticityInput/output for user-computer interactionDetails for portable computersVibration amplitudeHaptic sensing
The invention discloses a touch screen-oriented finger outer skeleton wearable force-touch sense interaction device, which can provide multiple modes of force sense and vibration touch sense feedbacks for human fingers. A plane four connection rod mechanism and a direct-current motor are used as an execution mechanism to provide continuous controllable force sense feedback for an operator. Different types of touch sense feedbacks are provided for the operator by controlling vibration amplitude and frequency of a voice coil vibrator, and the authenticity of touch sense perception can be enhanced in an interaction process; a vibration motor can enhance edge information of an image, and can achieve a collision detection effect. Finally, three-dimensional feature information of a virtual object in a touch screen, such as texture, an outline shape, and roughness can be expressed. The interaction device has important meaning in improving the authenticity and the fidelity of force touch sense feedbacks.
Owner:SOUTHEAST UNIV
Disparity map enhancement method based on RGB and DVS image fusion in high dynamic range scene
ActiveCN112396562AEnhance edge informationImprove accuracyImage enhancementImage analysisRgb imageBinocular stereo
The invention belongs to the field of robot perception, and particularly relates to a disparity map enhancement method based on RGB and DVS image fusion in a high dynamic range scene. The method comprises the following steps: S1, deploying a binocular RGB camera and a DVS camera, and calibrating the binocular RGB camera and the DVS camera; s2, collecting an RGB image and a DVS image of a binocularcamera in a scene, and performing multi-scale weighted fusion after registration; s3, generating an HDR image for computer vision for the fused image; and S4, based on the HDR image generated in thestep S3, using an improved binocular stereo matching algorithm SGM to generate a disparity map. In a scene with a large imaging dynamic range such as a tunnel, the problems of under exposure and highexposure of a camera are solved, the quality of a generated image is improved, and meanwhile, for the problems of discontinuity and instability of an image edge region, edge detail information is enriched as much as possible by introducing other information sources, and the accuracy of the finally generated disparity map at the edge of the image is improved.
Owner:SUN YAT SEN UNIV
Pancreatic cystic tumor CT image classification method based on multi-channel multiple classifiers
ActiveCN108898152AEnhance edge informationReduce mistakesImage enhancementImage analysisEdge enhancementPancreatic cystic neoplasm
A pancreatic cystic tumor image classification method based on multi-channel multiple classifiers comprises the following steps: 1) performing window width and window level adjustment on an original image, and performing Canny edge detection and gradient amplitude calculation to enhance edge features; 2) adopting a ResNet to perform end-to-end training on a multi-channel graph, using an output ofa pool5 layer as extracted features, using a Bayesian classifier and a KNN classifier to perform classification, and obtaining the classification probabilities; and 3) using a random forest classifierto classify the obtained 3 different probabilities to get a final result, wherein a random forest is composed of multiple decision trees. The pancreatic cystic tumor image classification method basedon multi-channel multiple classifiers can automatically perform edge enhancement, and can improve classification accuracy.
Owner:ZHEJIANG UNIV OF TECH
Time domain high-pass filtering method
PendingCN111080561AEnhance edge informationReduce non-uniformityImage enhancementImage analysisOpticsComputer graphics (images)
The invention discloses a time domain high-pass filtering method. The method includes the steps of carrying out preliminary filtering on an original infrared image by using a mask plate, obtaining a difference value of the two adjacent frames of infrared images after preliminary filtering to obtain a difference value image, carrying out bilateral filtering on the infrared image after preliminary filtering, obtaining a residual image after bilateral filtering, enabling the part with the gray value greater than a gray threshold value in the difference image to belong to a fast moving area, enabling the part, with the gray value smaller than or equal to the gray threshold value, of the difference image to belong to a slow moving area, determining correction items of the fast moving area and the slow moving area according to the residual image after bilateral filtering and different time constants, and correcting the original infrared image through the correction items to obtain a corrected infrared image. According to the invention, the non-uniformity of the infrared image is effectively reduced, the occurrence of ghost images is inhibited, and the correction effect is good.
Owner:SHANGHAI AEROSPACE CONTROL TECH INST
Grayscale image enhancement method based on retina mechanism
ActiveCN104915934AIncrease brightnessEnhance edge informationImage enhancementDifference of GaussiansModulation function
The invention belongs to the technical filed of computer vision and especially relates to brightness enhancement and edge enhancement of a grayscale image. The method specifically comprises the following steps: estimating global brightness and determining algorithm self-adaption parameters, generating a brightness mapping graph of the images and carrying out calculation to obtain a brightness enhancement image and carrying out edge enhancement processing. The method is characterized by, to begin with, estimating the self-adaption parameters according to the brightness distribution conditions of global dark areas; then, carrying out global brightness enhancement processing on the images and obtaining the modulation mapping graph of the whole picture through a modulation function, and carrying out calculation to obtain brightness enhancement result; and finally, realizing edge enhancement based on a dimension-self-adaptive Gaussian difference model, the model dimension being influenced by contrast ratio, and therefore, bright areas can be enhanced with finer texture information, and the dark areas can be enhanced with larger contour information. The method can enhance overall brightness and contrast of the grayscale images effectively, and the self-adaption characteristic can play a very good effect on edge enhancement of the bright and dark areas.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Automobile glass sub-pixel contour extraction method and automobile glass detection method
ActiveCN111415376AEnhance edge informationClear edge informationImage enhancementImage analysisEdge extractionEngineering
The invention discloses an automobile glass sub-pixel contour extraction method and an automobile glass detection method and device, belongs to the technical field of glass detection, and is used forsolving the problems of large measurement error, long detection time and the like of an existing contact type glass detection method. The adopted scheme is specifically as follows: acquiring a standard automobile glass image and an automobile glass image to be detected; preprocessing each automobile glass image, wherein preprocessing comprises Sigma filtering, median filtering and image enhancement; carrying out edge extraction on each preprocessed automobile glass image to obtain a pixel-level edge contour of each automobile glass image; performing sub-pixel positioning on the pixel-level edge contour to obtain a sub-pixel edge contour of each automobile glass image; registering the obtained standard automobile glass outline and the outline of the automobile glass to be detected; and calculating the error size of the to-be-detected glass. The method and the device have the advantages of high registration precision, high detection efficiency, high detection precision and the like.
Owner:HUNAN UNIV
Geological linear body extraction method based on tensor voting coupled with hough transformation
ActiveUS20210287376A1Reduce processing timeA large amountImage enhancementImage analysisHough transformTensor voting
The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.
Owner:CHANGAN UNIV
Method for enhancing edges of synthetic aperture radar images
InactiveCN103455975AEnhance edge informationSharpen Edge StrengthImage enhancementRadarSynthetic aperture radar
The invention discloses a method for enhancing the edges of synthetic aperture radar images. The method includes computing each pixel in an original synthetic aperture radar image to obtain normalized average ratios of the pixels; using the normalized average ratio of each pixel in the original synthetic aperture radar image as a gray value of the pixel and redrawing a synthetic aperture radar image. The method has the advantages that the average ratios of a sequence are optimized to obtain the gray values of corresponding elements, so that the synthetic aperture radar image can be redrawn, and the strength of the edges of the synthetic aperture radar image is enhanced.
Owner:INST OF ELECTRONICS CHINESE ACAD OF SCI
A method for automatically generating a tetragonal continuous pattern based on content features
ActiveCN109448010AEffective edge retentionAvoid edge details being weakenedImage enhancementImage analysisPattern generationEdge element
The invention provides a method for automatically generating a tetragonal continuous pattern based on content features. The method is characterized in that firstly, the noise of a fractal image is filtered by a smoothing filter algorithm, and grayscale is carried out; then the edge distribution histogram of gray-scale image is detected and extracted by Canny, and the probability distribution of four edge elements is calculated to judge whether the fractal image needs to be extracted or not, then the content of the fractal image is retrieved and the pattern position is determined by using the rectangular window rotation mechanism, and finally, the quadrangle continuous pattern is generated by calling horizontal and misalignment methods, so that the pattern generation method of the inventionautomatically extracts patterns and generates tetragonal continuous patterns through the main steps of filtering, edge feature retrieval, pattern content positioning, pattern extraction and stitching, and the like.
Owner:ZHEJIANG SCI-TECH UNIV
Method for synchronously segmenting multiple organs of lung
PendingCN112767411ASync splitReduce human interactionImage enhancementImage analysisPulmonary nodulePulmonary parenchyma
The invention relates to a method for synchronously segmenting multiple organs of a lung. The method comprises the following steps: a, performing interactive data annotation on the multiple organs of the lung; b, performing data preprocessing on the data annotation; c, constructing a data set for the data preprocessing result; d, enhancing and expanding the data set; e, carrying out DC-U-Net network model training on the data set to obtain a DC-U-Net training model; f, carrying out automatic segmentation on multiple organs of the lung based on the DC-U-Net training model. According to the invention, lung parenchyma, blood vessel, bronchus and pulmonary nodule areas can be automatically extracted based on the deep learning technology, and synchronous segmentation is realized.
Owner:罗雄彪 +1
Target detection method based on SSA sharpening attention mechanism
ActiveCN113392728ASharpening Effect ServiceEnhance edge informationImage enhancementImage analysisComputer visionPlug and play
The invention discloses a target detection method based on an SSA sharpening attention mechanism, in the method, user-defined sharpening filtering is introdued into a space attention module for the first time, and combined with a channel attention module for use, thereby reducing the influence of interference factors on the SSA sharpening effect, and serving the sharpening effect; according to the invention, the edge information of the detected object in the neural network is enhanced spatially, and object positioning is enhanced. Edge information of large objects can be perfected, existence of small and medium objects in an output layer can be improved, and the detection effect is improved; according to the invention, the combination mode and the embedding position of the SSA space sharpening module and the channel attention module are perfected. Compared with a space attention module in the CBAM, the effect on the lightweight target detection model is better. According to the SSA space sharpening module, the required calculation amount and parameter amount are extremely small, the detection speed is hardly influenced, and the lightweight module is high in practicability, plug-and-play and easy to implement.
Owner:HEFEI LONGTUTEM INFORMATION TECH CO LTD
Diffusion coefficient-optimum SAR image speckle suppression n calculation method
InactiveCN107305687AImprove the disadvantage of inconsistent diffusion speedGood removal effectImage enhancementDiffusionImage edge
The invention discloses a diffusion coefficient-optimum SAR image speckle suppression calculation method. The method comprises the following steps of: calculating <epsilon>R (x, y) of a point column matrix of an SAR image; calculating a diffusion coefficient c (g); and carrying out speckle suppression on the SAR image. According to the method, the improved diffusion coefficient improves the disadvantage that the existing diffusion coefficients are inconsistent in the aspect of diffusion speed when being located in homogeneous areas; the diffusion coefficient can realize isotropic diffusion in the homogeneous areas, namely, c<eta>=c<zeta>=1, so that speckles can be removed preferably; and in heterogeneous areas, c<eta>=c<zeta>=1, the diffusion is stopped, so that a role of reverse smoothing can be played in the edges of the SAR image and then the edge information of the image is strengthened. The ratio of a diffusion speed in the <eta> direction to a diffusion speed in the >zeta> direction is zero, so that the diffusion coefficient satisfies a Charbonnier criterion. Experiments verify the effectiveness and superiority of the calculation method, and theoretically prove that the diffusion coefficient is stably iterated in the speckle suppression process.
Owner:DALIAN MARITIME UNIVERSITY
Image Watermark Removal Device
ActiveCN107993190BQuality improvementImprove accuracyGeometric image transformationCharacter and pattern recognitionPattern recognitionImaging processing
The invention relates to the technical field of image processing, and specifically provides an image watermark removal device, aiming at solving the technical problems of how to improve the picture quality of restored images and the accuracy of face verification. For this purpose, the image watermark removal device in the present invention can perform dewatermark processing on the face image based on the confrontation generation network model, wherein, the generator in the confrontation generation network model can generate a corresponding watermark-free image based on the face image, and distinguish The generator can judge whether the whole image and partial image of the image without watermark are real images, and the optimization module optimizes the generator and the discriminator. Furthermore, the device may also include a face recognition model to extract the face features of the original image without watermark and the image without watermark generated by the generator, and further optimize the generator and discriminator. The technical scheme of the invention can effectively protect the information contained in the image while acquiring a high-quality image without a watermark.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
An intelligent monitoring system for power cable production process
ActiveCN110458157BImprove intelligencePrevent ArtifactsImage enhancementImage analysisWireless transmissionPower cable
An intelligent monitoring system for a power cable production process, including an image acquisition component, a sensor component, a wireless transmission module, an intelligent monitoring center and a danger alarm module, the sensor component is used to collect environmental data and temperature data on the surface of power cable production equipment, and The collected data is transmitted to the intelligent monitoring center, and the intelligent monitoring center processes the received data and compares it with the preset safety threshold, and when the data is higher than the preset safety threshold, the danger alarm module gives an alarm, and The image acquisition component is used to acquire images of the positions of the sensor nodes that acquire the data, and the acquired images are processed and displayed. The beneficial effects of the invention are: realizing the effective monitoring of the environment of the power cable production workshop and the operating state of the power cable production equipment, and improving the intelligence of the monitoring of the power cable production process.
Owner:JIANGXI PACIFIC CABLE GRP CO LTD
A method for measuring base bend data of goggles based on medical images
ActiveCN107170009BRealization of base bending data measurementImprove measurement efficiencyImage analysisRadiologyData field
The invention discloses a method for measuring base curvature data of goggles based on medical images. , according to the image data, construct the 3D head skin model of the medical image; extract the 3D contour of the 3D head skin model according to the volume data field; convert the 3D contour into a symmetrical 2D contour, and measure the base Bending parameters; calculate the base bending value based on the base bending parameters. By adopting the embodiments of the present invention, the measurement accuracy and efficiency of base curvature data of asymmetric medical images can be improved.
Owner:GUANGZHOU GENERAL HOSPITAL OF GUANGZHOU MILITARY COMMAND
Composite material terahertz imaging resolution enhancement method and device, equipment and medium
ActiveCN114004833APreserve smooth areasSuppress background noiseImage enhancementImage analysisEngineeringMechanical engineering
The invention provides a composite material terahertz imaging resolution enhancement method and device and equipment and a medium. The method comprises the steps: carrying out the imaging detection of a detected composite material through a terahertz imaging system, and obtaining a first one-dimensional range profile of the detected composite material; denoising the first one-dimensional distance image to obtain a denoised second one-dimensional distance image; respectively taking the second one-dimensional distance image and the detail-enhanced second one-dimensional distance image as a first guide image and a second guide image, and respectively carrying out guide filtering on the second one-dimensional distance image to respectively obtain a detail layer and a base layer; performing first gain and second gain on the details and the base layer respectively, and superposing the detail layer subjected to the first gain and the base layer subjected to the second gain into a third one-dimensional distance image; and performing amplitude imaging on the third one-dimensional range profile to obtain an imaged result image. According to the method provided by the embodiment of the invention, the detail information such as the edge of the image can be enhanced while the background noise is effectively suppressed.
Owner:CAPITAL NORMAL UNIVERSITY
A wearable haptic interaction device with finger exoskeleton for touch screen
ActiveCN106502393BEnhance edge informationIncrease authenticityInput/output for user-computer interactionDetails for portable computersVibration amplitudeCollision detection
The invention discloses a touch screen-oriented finger outer skeleton wearable force-touch sense interaction device, which can provide multiple modes of force sense and vibration touch sense feedbacks for human fingers. A plane four connection rod mechanism and a direct-current motor are used as an execution mechanism to provide continuous controllable force sense feedback for an operator. Different types of touch sense feedbacks are provided for the operator by controlling vibration amplitude and frequency of a voice coil vibrator, and the authenticity of touch sense perception can be enhanced in an interaction process; a vibration motor can enhance edge information of an image, and can achieve a collision detection effect. Finally, three-dimensional feature information of a virtual object in a touch screen, such as texture, an outline shape, and roughness can be expressed. The interaction device has important meaning in improving the authenticity and the fidelity of force touch sense feedbacks.
Owner:SOUTHEAST UNIV
Feature extraction method for low-quality finger vein images
ActiveCN111898527BExtended finger vein feature informationReduce difficultySubcutaneous biometric featuresBlood vessel patternsFeature extractionRadiology
In the feature extraction method for low-quality finger vein images, in the preprocessing link, since the finger vein images are seriously shifted, and part of the information will be lost by directly cropping the images, the invention introduces the replacement displacement method to shift the images. Considering the shortcomings of the local pattern method and the vein network method, the present invention proposes to extract the PBBM feature by stacking on the basis of extracting the MCM feature from the image. Therefore, clearer finger vein features can be extracted while retaining the full image information, and the recognition accuracy of low-quality images can be effectively improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
Composite material terahertz imaging resolution enhancement method, device, equipment and medium
ActiveCN114004833BPreserve smooth areasSuppress background noiseImage enhancementImage analysisEngineeringComputer science
Owner:CAPITAL NORMAL UNIVERSITY
Distance-adaptive thermal infrared face recognition method
ActiveCN114821703AQuick checkAvoid slow recognitionInternal combustion piston enginesCharacter and pattern recognitionComputer scienceThermal infrared
The invention relates to the technical field of image recognition, in particular to a distance-adaptive thermal infrared face recognition method, which comprises the following steps: constructing and training an improved thermal infrared image super-resolution enhancement network Retinex-CNN, and processing a thermal infrared image by using the trained improved thermal infrared image super-resolution enhancement network Retinex-CNN; on the basis of prior information obtained by near-infrared, different feature algorithms are utilized, local feature extraction is carried out on near-infrared and processed thermal infrared images, full feature fusion is carried out on the extracted different features, dimension reduction processing is carried out on the fused features, and then classification and recognition are carried out on the features after dimension reduction. Through the recognition method, the problem that face recognition is difficult due to the fact that thermal infrared imaging is greatly influenced by the distance when the distance changes can be effectively solved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Geological linear body extraction method based on tensor voting coupled with hough transformation
ActiveUS20220164960A9Sharpening processingEnhance edge informationImage enhancementImage analysisHough transformTensor voting
The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.
Owner:CHANGAN UNIV
Feature extraction method for low-quality finger vein image
ActiveCN111898527AExtended finger vein feature informationReduce difficultySubcutaneous biometric featuresBlood vessel patternsFeature extractionRadiology
The invention discloses a feature extraction method for a low-quality finger vein image, and the invention introduces a displacement replacement method for the displacement of an image in consideration of the severe deviation of the finger vein image and the loss of part of information caused by the direct cutting of the image in a preprocessing link. Considering the defects of a local mode methodand a vein network method, the invention provides superposition extraction of PBBM features on the basis of MCM feature extraction of an image. Therefore, clearer finger vein features can be extracted under the condition that full-image information is reserved, and the recognition accuracy of a low-quality image is effectively improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
A Retina Mechanism Based Grayscale Image Enhancement Method
ActiveCN104915934BIncrease brightnessEnhance edge informationImage enhancementDifference of GaussiansScale model
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A method for measuring building vibration displacement based on visual processing
ActiveCN110823358BAvoid lostEnhance edge informationImage enhancementImage analysisPhase correlationVision processing
The invention relates to a method for measuring building vibration displacement based on visual processing, belonging to the field of visual measurement, including: image enhancement: extracting image pixel gradients, fusing pixel gradients and intensities to generate fusion images; image matching: using phase correlation In this method, the displacement of two related images in the space domain is converted into a linear phase difference in the frequency domain, and the time domain signal is transformed into the frequency domain by using the fast Fourier transform (FFT), and the interaction between the template and the target image is obtained in the frequency domain. power spectrum, and then perform IFFT transformation on the cross-power spectrum to obtain a Dirac function, that is, an impulse function, and then find the peak coordinates of the Dirac function to obtain the displacement at the entire pixel level; sub-pixel interpolation method: use The sub-pixel interpolation method makes the measurement result of the displacement reach the sub-pixel level. The invention avoids the loss of the gradient information, enhances the edge information of the image, has faster operation speed and higher measurement result precision.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
High-resolution remote sensing image saliency target detection method combining frequency and edge learning
PendingCN114529829AEnhance edge informationStrengthen target boundariesScene recognitionNeural architecturesFrequency spectrumNetwork model
The invention discloses a high-resolution remote sensing image saliency target detection method combining frequency and edge learning, and the method comprises the steps: drawing a sample according to the contour of a target ground object, and making an edge detection sample and a semantic segmentation sample; building a neural network model which introduces edge learning and a frequency spectrum-based channel attention mechanism, and inputting and training the high-resolution remote sensing image, the edge detection sample and the semantic segmentation sample to a fitting state to obtain a saliency target detection model of the remote sensing image; and inputting a high-resolution remote sensing image to obtain a predicted image. According to the method, edge learning and a frequency spectrum-based channel attention mechanism are combined, so that the problem of unclear edge of saliency detection in the traditional remote sensing field is solved, and the problem of inaccurate detection caused by lack of spectral features in a deep learning method is solved.
Owner:ZHEJIANG UNIV OF TECH
A method for automatic generation of square continuous patterns based on content features
ActiveCN109448010BEffective edge retentionEnhance edge informationImage enhancementImage analysisGradationContent retrieval
The invention provides a method for automatically generating a tetragonal continuous pattern based on content features. The method is characterized in that firstly, the noise of a fractal image is filtered by a smoothing filter algorithm, and grayscale is carried out; then the edge distribution histogram of gray-scale image is detected and extracted by Canny, and the probability distribution of four edge elements is calculated to judge whether the fractal image needs to be extracted or not, then the content of the fractal image is retrieved and the pattern position is determined by using the rectangular window rotation mechanism, and finally, the quadrangle continuous pattern is generated by calling horizontal and misalignment methods, so that the pattern generation method of the inventionautomatically extracts patterns and generates tetragonal continuous patterns through the main steps of filtering, edge feature retrieval, pattern content positioning, pattern extraction and stitching, and the like.
Owner:HANGZHOU HUICUI INTELLIGENT TECH CO LTD
An Image Fusion System Based on Low Light and Infrared Sensors
ActiveCN108154494BEnhance edge informationImprove registration accuracyImage enhancementImage analysisImage denoisingCo-processing
The invention relates to an image fusion system based on low-light and infrared sensors, which is divided into low-light and infrared sensor information collection modules, FPGA core processing modules, DSP co-processing modules and output display modules; external low-light and infrared sensors collect The video image is input into the device through the interface; the video image is input for image preprocessing: including image denoising, image enhancement and image registration. Image denoising and image enhancement processing require low latency and are implemented in the FPGA chip. , the image registration algorithm requires a large amount of calculation and is implemented in the DSP chip; the pre-processed video images are fused through the FPGA chip, including grayscale fusion and pseudo-color fusion; the FPGA control logic can select one channel of image output through the interface : Single low-light video, single infrared video, grayscale fusion video and pseudo-color fusion video. The invention realizes a high-precision, low-latency and good scalability image fusion system, which has important practical significance for nighttime observation and exploration applications.
Owner:BEIHANG UNIV
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