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248 results about "Histogram matching" patented technology
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In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed.
Systems and Methods for Virtual Facial Makeup Removal and Simulation, Fast Facial Detection and Landmark Tracking, Reduction in Input Video Lag and Shaking, and a Method for Recommending Makeup
ActiveUS20190014884A1High transparencyImprove flatnessImage enhancementImage analysisFacial regionNetwork model
The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions. The disclosure also provides systems and methods for virtually generating output effects on an input image having a face, for creating dynamic texturing to a lip region of a facial image, for a virtual eye makeup add-on that may include multiple layers, a makeup recommendation system based on a trained neural network model, a method for providing a virtual makeup tutorial, a method for fast facial detection and landmark tracking which may also reduce lag associated with fast movement and to reduce shaking from lack of movement, a method of adjusting brightness and of calibrating a color and a method for advanced landmark location and feature detection using a Gaussian mixture model.
Owner:SHISEIDO CO LTD
Method for Virtual Image Synthesis
A method synthesizes virtual images from a sequence of texture images and a sequence of corresponding depth images, wherein each depth images stores depths d at pixel locations I(x, y). Each depth image, is preprocessed to produce a corresponding preprocessed depth image. A first reference image and a second reference image are from the sequence of texture images. Then, depth-based 3D warping, depth-based histogram matching, base plus assistant image blending, and depth-based in-painting are applied in order to synthesize a virtual image.
Owner:MITSUBISHI ELECTRIC RES LAB INC
Two-dimensional polynomial model for depth estimation based on two-picture matching
InactiveUS20100194971A1Accurate distanceReducing noiseTelevision system detailsImage analysisImage estimationFocal position
Apparatus and method for electronically estimating focusing distance between a camera (still and / or video camera) and a subject. Images at different focal positions of a calibration target are collected with distances between subject positions. In one aspect, histogram matching is performed to reduce noise error. A focus matching model is then generated in response to detected blur differences between successive images of the calibration target. The focus matching model is preferably converted to a polynomial equation of a desired order to smooth out image collection noise. The focus matching model is stored for access during operation. In use, the distance to subject is estimated in response to capturing images, detecting blur differences between the images and entering the blur difference information into the matching model.
Owner:SONY CORP +1
Generating facies probablity cubes
A method for generating one or more geological models for oil field exploration. The method includes receiving one or more well facies logs, a vertical facies proportion curve, a lateral proportion map, a variogram model and a global target histogram. The method then includes generating a facies probability cube using a modified Sequential Gaussian Simulation (SGSIM) algorithm, the well facies logs, the vertical facies proportion curve, the lateral proportion map and the variogram model. After generating the facies probability cube, the method includes matching the facies probability cube to the global histogram and generating the geological models based on the matched facies probability cube.
Owner:SCHLUMBERGER TECH CORP
Unmanned aerial vehicle (UAV)-based electric power line patrol method and device and UAV
InactiveCN103235830AAutomatic real-time inspectionGuarantee the quality of inspectionImage analysisCharacter and pattern recognitionUncrewed vehicleSample image
The invention discloses a UAV-based electric power line patrol method and device and an UAV. The method comprises the steps of collecting a sample picture of a target tested electrical device in advance, calculating a standard grey histogram of the target tested electrical device in the sample picture, and storing the standard grey histogram in a template database; collecting a picture of a current tested electrical device in real time, and calculating a current grey histogram in the current tested electrical device in the picture; and when the current grey histogram is matched with the standard grey histogram, comparing the picture of the current tested electrical device with the sample picture of the target tested electrical device, recognizing each component of the current tested electrical device in the picture of the current tested electrical device and components which are in one-to-one correspondence in the target tested electrical device in the sample picture, calculating deviation information of components of the current tested electrical device from components which are in one-to-one correspondence in the sample picture respectively, and determining whether the current tested electrical device has a defect according to the deviation information.
Owner:POWERVISION TECH
Method for monitoring instruction based on computer vision
InactiveCN101256626AAvoid workloadAvoid fatigueImage analysisCharacter and pattern recognitionVideo monitoringVisual technology
An invasion monitor method based on computer vision and used for the field of intelligent video monitor is disclosed; the invention in advance collects video images of a plurality of frames through a monitor camera in order to establish a scene model on the basis of non-parameter statistics. For the new video images, the scene model is used to detect prospect points, and a motion target is obtained by further processing the prospect points through morphologic filter. Afterwards, weighting histogram characteristics are extracted from the motion target and a histogram matching method is applied to tracing the motion target to obtain the motion track of the target. The method judges whether the target track enters into the set warning region in order to decide whether to sends the alarm. The invasion monitor method adopts the computer vision technology and realizes the automatic detection and alarming by utilizing the video information acquired by the computer process monitor camera, therefore the invention is simple in structure and convenient in implementing as well as has the extensive market prospect and application value.
Owner:大连锋视信息技术有限公司
Visual saliency model based automatic detecting and tracking method
The invention discloses a visual saliency model based automatic detecting and tracking method. The visual saliency model based automatic detecting and tracking method comprises the steps of: calculating a color, brightness and direction saliency graph of an input video image by using a visual saliency model, and defining a simple scene and a complex scene based on the weighted saliency graph; establishing a rectangular frame to serve as a tracking target to be tracked by using a saliency region when the simple scene is detected; correcting a manually selected tracking frame based on different weights when the complex scene is detected; tracking the tracking frame by utilizing a tracking studying and detecting algorithm, and detecting that the tracking is failed; detecting the image of each frame after the failure by using the visual saliency model, performing histogram matching on each region in the saliency graph and the online model before the tracking failure, and tracking a region with the highest similarity; and sending multiple regions with similar similarity into a target detector at the same time for detection, repeating tracking detection for the image target of the next frame, using a histogram comparison step until a target is detected again and tracking.
Owner:INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
Remote-sensing image stripe noise removing method based on segmented correction
ActiveCN103020913AEfficient cullingRealization reservationImage enhancementGray levelSegmented regression
The invention provides a remote-sensing image stripe noise removing method based on segmented correction. A method that an image can be divided into a uniform region and a non-uniform region according to distribution phenomena of different ground objects is designed, the other method that a region can be divided into areas with different gray levels according to different gray level values of the region scanned by a detecting element is designed, one image (scanning imaging in rows or columns) can be divided into different intervals in columns or rows by the two methods, stripe noises of the different intervals are sectionally removed by common spatial domain denoising methods of moment matching, histogram matching and the like, categories of the different ground objects are considered, gray level value influences caused by external radiation changes and the like are combined, ground object categories and spectral characteristics are simultaneously considered in the obtained result, the obtained result is close to authentic data, the computational efficiency is high, and the computation is steady. The method can be well applied to removing stripe noises in the remote-sensing images.
Owner:广西壮族自治区自然资源信息中心
Damage proxy map from interferometric synthetic aperture radar coherence
ActiveUS20120319893A1Durable damageEasy to explainRadio wave reradiation/reflectionInterferometric synthetic aperture radarRadar
A method, apparatus, and article of manufacture provide the ability to generate a damage proxy map. A master coherence map and a slave coherence map, for an area prior and subsequent to (including) a damage event are obtained. The slave coherence map is registered to the master coherence map. Pixel values of the slave coherence map are modified using histogram matching to provide a first histogram of the master coherence map that exactly matches a second histogram of the slave coherence map. A coherence difference between the slave coherence map and the master coherence map is computed to produce a damage proxy map. The damage proxy map is displayed with the coherence difference displayed in a visually distinguishable manner.
Owner:CALIFORNIA INST OF TECH
System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
ActiveUS7499578B2Improve consistencyImprove accuracyImage enhancementImage analysisPulmonary noduleVoxel
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.
Owner:CORNELL RES FOUNDATION INC
A feasible road segmentation method based on an improved Unet network model
ActiveCN109840471AGood initialization phaseAvoid vanishing gradientsImage analysisInternal combustion piston enginesHinge lossNetwork model
The invention discloses a feasible road segmentation method based on an improved Unet network model, and the method comprises the steps: modifying a convolutional layer in a Unet training model into aResNet residual module, and carrying out the back propagation training through employing a cross entropy loss function and a Lovsz hinge loss function; Performing feasible region segmentation on theroad scene without the segmentation label by adopting the trained model; Carrying out scale, contrast and normalization processing on the training picture and the corresponding segmentation mask mark,carrying out enhancement processing on the training sample, carrying out histogram matching processing on the test data by taking an average histogram of the training data as a template, carrying outtesting, and outputting a road segmentation result. According to the method, on the basis of not increasing the model complexity, the road segmentation precision is greatly improved, and real-time accurate segmentation of the feasible region of the road can be basically realized.
Owner:TIANJIN UNIV +1
HDR reconstructing algorithm based on histogram normalization and superpixel segmentation
ActiveCN105894484ASolve alignmentSolve the problem of maximizing image detail preservationImage enhancementImage analysisIntermediate imageImaging quality
The invention discloses an HDR reconstructing algorithm based on histogram normalization and superpixel segmentation. The method includes the steps of mapping a histogram of a referential image Ir onto another image Ii of an image sequence through a histogram matching algorithm, respectively generating a corresponding matching image I <M>, combining the pixels of the image into superpixels by comparing the consistency of each pixel point with adjacent pixels, obtaining the contours of moving objects in the image through a cutting algorithm, obtaining the absolute value of the difference between the matching image I <M> and the other image Ii, conducting superpixel segmentation, dividing the superpixels obtained through segmentation into static parts and dynamic parts, synthesizing the images Ii and I <M> into intermediate images I <L>, calculating the weight map of each intermediate image based on a gradient image quality evaluation system, and conducting weighted fusion to obtain a final image fusion result. Histogram matching of a referential image and other images in the input sequence is conducted instead of directly calculating the gradient information of the input image. In this way, more details in the image can be retained.
Owner:SHANDONG UNIV
Video content replacement method and system based on adversarial generative network
ActiveCN110868598AGood effectNo human intervention requiredDigital video signal modificationNeural architecturesData setDeblurring
The invention provides a video content replacement method and system based on an adversarial generative network. The method comprises the following steps: extracting a source target image in a video frame; performing semantic segmentation on the source target image; performing data enhancement on the source target image by using the image transformation operation; inputting the semantic segmentation images paired by the enhanced data set into a network training generative adversarial model; accurately detecting an ROI region of the source target image and carrying out cutting and straightening; taking the ROI image as a generation model input to obtain a generated target image and a synthetic mask; controlling edge smoothing and deblurring of the generated target image by using mask control after Gaussian blur; adjusting the hue of the generated target image to be consistent with that of the frame source target image by a histogram matching strategy; generating video frame anti-jitterprocessing; and fusing the source image and generating a target image. Compared with the prior art, the method and system has the characteristics and advantages of easiness in operation, low cost, good effect, short consumed time and the like.
Owner:SHANGHAI JIAO TONG UNIV
Positioning measurement method based on key point detection of marker
InactiveCN101915573AHigh precisionImprove performanceMeasuring points markingPhotogrammetry/videogrammetryHough transformCrucial point
The invention relates to a positioning measurement method based on key point detection of a marker, which comprises the following four parts of: 1. design of a ruler and a marker: realizing the ruler and the marker with high environmental adaptation and convenient use and manufacture; 2. detection of the ruler for calibrating: performing multi-threshold segmentation on a compressed image according to a custom segmentation function and positioning the ruler by methods of contour detection, polygon fit, and the like; 3. detection of a key point of the marker: detecting a positioning key point mainly by adopting methods of histogram matching, gray scale projection, Hough transformation segment detection, least square method straight line fit, and the like; and 4. reestablishment of three-dimensional world coordinates: adopting a two-dimensional method of photography measurement. The methods of multi-threshold segmentation, Hough transformation and least square method combination for positioning a straight line, and the like improve the performance and the precision of an algorithm. The invention has wide application range and is suitable for solving various positioning measurement problems based on key point detection.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Relative radiation calibration method of multichip linear CCD (charge coupled device) camera
InactiveCN104298887AHigh precisionIn line with the actual imaging situationMeasurement devicesSpecial data processing applicationsCcd cameraGeographic coordinate system
The invention relates to a relative radiation calibration method of a multichip linear CCD (charge coupled device) camera. The relative radiation calibration method includes steps of establishing a focal plane coordinate system and a geographic coordinate system of the multichip linear CCD camera obliquely arranged in a remote sensing satellite; calculating a geocentric angle of an origin of the geographic coordinate system deviated from a sub-satellite point at the imaging moment; establishing transformational relation from the geographic coordinate system to the focal plane coordinate system; calculating yaw rate of the satellite according to the transformational relation during imaging of a calibration mode, so that all pixels of the multichip linear CCD camera can be imaged to the same region of the ground; setting up a histogram lookup table by a histogram matching method. On the basis of the strict transformational relation, the pixels of the multichip linear CCD camera obliquely arranged are imaged to the same region, so that the pixels can have same input.
Owner:CHINA ACADEMY OF SPACE TECHNOLOGY
Segmental counting-based relative radiation correction method
InactiveCN103226819AImprove operational efficiencyImprove statistical accuracyImage enhancementPropagation of uncertaintyImaging quality
The invention relates to a segmental counting-based relative radiation correction method comprising the following steps: acquiring original image data; determining segmental points and dividing the image into three brightness areas, including a low-brightness area, a medium-brightness area and a high-brightness area; performing histogram matching on the low-brightness area, the medium-brightness area and the high-brightness area respectively to obtain a corresponding brightness area lookup table of each probe element; and combining to obtain an integrated lookup table of each probe element and performing relative radiation correction on a satellite image. Aiming at the condition that integrating spheres in a lab are invalid, the method provides a method for effectively removing stripe noise of an image system and chromatic aberration of the system, so the lookup tables of different brightness areas are obtained through segmental counting according to the characteristic that the probe elements have different response models in different photoelectric response areas, error propagation in the counting process is reduced, the precision of the lookup tables is improved, the imaging quality of the image can be improved well, the algorithm has high efficiency, and the quasi-real time requirement of image production can be guaranteed timely.
Owner:WUHAN UNIV
Apparatus for real-time face recognition
ActiveUS20130202159A1Image analysisCharacter and pattern recognitionFeature extractionParallel processing
Disclosed herein is a real-time face recognition apparatus and method. A real-time face recognition apparatus includes a face detection unit for detecting a face image by obtaining image coordinates of a face from an input image. An eye detection unit obtains image coordinates of both eyes in the face image. A facial feature extraction unit generates feature histogram data based on parallel processing from the face image. A DB unit stores predetermined comparative feature histograms. A histogram matching unit compares the histogram data generated by the facial feature extraction unit with the comparative feature histograms, and then outputting similarities of face images. The face recognition apparatus may be implemented as internal hardware in which a VGA camera and an exclusive chip interface with each other, thus remarkably reducing a system size and installation cost, and performing face recognition in real time without requiring additional equipment.
Owner:RES & BUSINESS FOUND SUNGKYUNKWAN UNIV
City shadow detecting and removing method based on high-resolution remote sensing image
InactiveCN107862667AImprove the complex and difficult detection problems of water qualityImprove the results of removalImage enhancementImage analysisFiltrationHigh resolution image
The invention discloses a city shadow detecting and removing method based on a high-resolution remote sensing image. The method comprises the following steps: firstly calculating an image after the bilateral filtration through a threshold value, to obtain a feature value for executing the shadow detection, and executing the region growing to the result by using a graph cutting method, to obtain ashadow mask; and subtracting by using luminance graphs before and after the bilateral filtration, to obtain a detailed graph, and getting a region with weaker texture, completing the detection of a city water area by combining NDWI, removing the part of the water area in the shadow mask, and dividing a shadow and a non-shadow, calculating a shadow spectrum and texture information, and matching toobtain a homogeneous non-shadow area corresponding to each shadow area; and finally removing the non-water-area and water area shadows by using a moment matching and histogram matching method. The method is capable of, in allusion to the complexity of the city high-resolution image surface, greatly improving the shadow detecting and removing effects, and can be used for improving engineering application problems, such as city change detection and ground-object identification.
Owner:WUHAN UNIV +1
Content based image recognition method
InactiveCN1691054ASolving Classification PuzzlesCharacter and pattern recognitionContour matchingFeature vector
A image recognition method based on content comprises steps: take grid division to the image; take the grid nodes as initial position to make region growing and obtain skin color information around all nodes of image; use grid cell zone and the mechanism that all nodes vote each other to determine interesting points and zones of image; based on the interesting points and zones, use the movement of points to extract soma contour; finally, extract contour information and local information inside contour to form eigen vector, recognize the image and decide its nature. The invention overcomes problems of low speed, efficiency and strong dependency of device existed in sensitive image recognition techniques such as, color histogram matching, wavelet transformation contour matching, skin color texture description, and image central moment matching, solves the classification of three-points type swim-suit image, nude image and people face image, makes the sensitive image recognition technique further expanded, and exploit its bright application future.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Remote-sensing image mixing method based on local statistical property and colour space transformation
InactiveCN1489111AAccurate descriptionEasy to interpretImage enhancementRemote sensing image fusionImage resolution
The invented method processes remote sensing image through following steps. Based on IHS transform of multiple spectrum images, using statistic characteristics of remote sensing image, lowpass filtering is carried out for I-component of multiple spectrum images. Meanwhile, highpass filtering is carried out for panchromatic remote sensing image with high spatial resolution. Through histogram matching in local window, gray scale mapping is carried out one pixel by one pixel for value of pixel in panchromatic image with high resolution according to position of pixel. Thus, syncretic I-component is obtained. Then, IHS inverse transform is carried out so as to obtain syncretic result. The invention possesses advantages of retaining spectrum information of multiple spectrum images, raising spatial resolution, accurate decrypting features of ground object so that the invention is more suitable to each application and easy of interpretation.
Owner:SHANGHAI JIAO TONG UNIV
RMB paper currency denomination identification method based on histogram matching of images
ActiveCN104658097AHigh denomination recognition speedImprove robustnessPaper-money testing devicesCharacter and pattern recognitionMultiple imageHistogram matching
Owner:HUAZHONG UNIV OF SCI & TECH
System, Method and Apparatus for Small Pulmonary Nodule Computer Aided Diagnosis from Computed Tomography Scans
InactiveUS20090080748A1Improve consistencyImprove accuracyImage enhancementImage analysisPulmonary noduleVoxel
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.
Owner:CORNELL RES FOUNDATION INC
Method for virtual image synthesis
Owner:MITSUBISHI ELECTRIC RES LAB INC
Method for positioning spacers of transmission lines by aid of video image processing technology
InactiveCN103177241ASimplified matching the range of location scansGuaranteed real-time positioningImage analysisCharacter and pattern recognitionDigital videoTemplate matching
The invention discloses a method for identifying and positioning spacers of transmission lines by the aid of a video image processing technology, and belongs to the technical field of digital video image processing and online monitoring for transmission lines. The method includes positioning target areas of images and positioning centers of the spacers by processes for normalizing the original images, acquiring direction fields, matching templates and the like; computing the direction fields of the images by a square-gradient algorithm when the target areas are positioned, and combining the direction fields with isotropic consistency information to position the target areas of the images corresponding to the transmission lines; and positioning the centers of the spacers by a histogram-based and normalized-correlation quick template matching algorithm. The quick template matching algorithm sets histogram matching joint threshold values and normalized-correlation matching maximum values as the foundation for judging the matching optimal positions, coordinates with the maximum probabilities in a plurality of matching results are selected to be used as center points of the spacers, and reference information is provided for monitoring conditions of the transmission lines and predicting faults.
Owner:河北能瑞科技有限公司
Palette-based histogram matching with recursive histogram vector generation
InactiveUS6865295B2Sufficient distinguishing capabilityImage enhancementImage analysisData setTheoretical computer science
A histogram comparison process is provided that compares a histogram-vector of a first dataset to a corresponding histogram-vector of a second dataset. The histogram-vectors of the first and second datasets are formed from the histogram values of a select few of the histogram classes, the select few classes being the classes of the first dataset that contain the highest frequency count. The second dataset is characterized using only the select few classes of the first dataset; data items with values that belong to other classes are ignored. A palette dataset is created, corresponding to the second dataset, wherein the data items in the third dataset correspond to indexes to the select classes of the first dataset, or null indexes for the ignored data items. The histograms corresponding to overlapping regions is determined recursively, based on the third dataset. Given a histogram corresponding to a first region, the histogram of a second, overlapping, region is determined by merely incrementing the frequency count of the indexes of the elements that are in the second region, but not the first, and decrementing the frequency count of the indexes of the elements that are in the first region, but not the second.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV
Embedded plastic mould protector based on histogram matching
The invention relates to an embedded plastic mould protector based on histogram matching. The protector is divided into four modules including an image collection module, a calculating and matching module, a man-machine interaction module and an action control module, wherein the image collection module consists of two infrared cameras and one filament lamp, the calculation matching module comprises one Arm development board, the man-machine interaction module is an upper computer of an injection molding machine controller, the action control module is a lower computer of the injection molding machine controller; and the image collection module, the calculating and matching module and the man-machine interaction module are connected for control via Ethernet cables through a network hub, and the man-machine interaction module and the action control module are connected for control by a Can / 232 wire. The embedded plastic mould protector can automatically judge whether products without being demoulded stay in the plastic mould based on the difference of histograms of two images so as to protect the moulds effectively, and has the characteristics of high efficiency, high reliability, high safety coefficient and the like.
Owner:宁波伊士通技术股份有限公司
Remote-senstive image interfusion method based on image local spectrum characteristic
InactiveCN1581230AHigh-resolutionEasy to keepImage enhancementRemote sensing image fusionHistogram matching
The present invention relates to a remote-sensing image fusion method based on image local spectral characteristics. Said method combines local correlation moment and local variance of remote-sensing image to make fusion, on the basis of making multispectral image undergo the process of IHS transformation makes I component obtained after transformation and high-spectral image undergo the process of histogram matching treatment, then makes the matched I component and high-spectral image respectively undergo the process of vavelet transformation. For low-frequency component obtained after wavelet decomposition said method adopts the fusion criterion based on local normalized correlation moment to make fusion, and for high-frequency component it adopts the fusion criterion based on variance to make fusion, then reconstructes all the wavelet components after fusion to obtain new I componnet, finally, uses new I component and original components of H and S to make IHS inverse transformation so as to obtain the fusion result.
Owner:SHANGHAI JIAO TONG UNIV
Automatic image registration and rapid super-resolution fusion method based on edge feature
InactiveCN101527039AOvercome speedOvercoming complexityImage enhancementImage analysisColor imageUSB
The invention discloses an automatic image registration and rapid super-resolution fusion method based on edge feature, and relates to the field of image processing. The method is characterized in that the method comprises the following processing steps that: (1) a computer reads two kinds of target images to be processed to a buffer area from interfaces such as a USB, and the like, wherein one kind of images are low-resolution multispectral images, and the other kind of images are high-resolution grey images; (2) wavelet transformation and a least square fitting model are adopted to acquire registration parameters of the images; (3) the registered multispectral images are used to acquire strength component images through linear IHS transformation, and then histograms of the high-resolution grey images are matched to strength components; (4) the high-resolution grey images matched with the histograms are used to substitute the strength components, and the linear IHS inverse transformation is used to realize the super-resolution fusion of the images; and (5) super-resolution multispectral color images are output. The method has lower complexity and execution speed than the prior method, occupies less resources of a computer system, and is convenient to execute on embedded equipment.
Owner:HOHAI UNIV
Apparatus and method for increaring contrast ratio using histogram match
InactiveCN1438610AAvoid overemphasisControl enhancementImage enhancementTelevision system detailsContrast ratioHistogram matching
Owner:SAMSUNG ELECTRONICS CO LTD
Face recognition method based on template matching
ActiveCN1790374ACalculation speedImprove recognition accuracyCharacter and pattern recognitionTemplate matchingTemplate based
The invention discloses a face identification method based on model matching, which comprises the following steps: transmitting the face to the changing region; doing LBP calculation of face image; extracting histogram from the LBP calculation result; accomplishing face identification through histogram matching. The invention improves the calculation speed, which reduces the sensitive degree of gesture, light, appearance and environmental variation.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI
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