266 results about "Infrared image processing" patented technology

The invention discloses an infrared image automatic fault identifying method for high-voltage equipment. Firstly, electric equipment in need of detection is selected and a temperature image of the electric equipment is obtained; secondly, a heating point, heating a point temperature T1 and a normal phase temperature T2 of the electric equipment are obtained through processing of the temperature image; thirdly, a relative temperature is calculated in combination with an environment reference temperature T0 to judge a running condition and fault information of the electric equipment. In the infrared image automatic fault identifying method for the high-voltage equipment, the running condition and the fault information of the electric equipment on a high-voltage transmission wire are monitored on the basis of an infrared image processing technology, a temperature heating abnormal point is detected according to an infrared temperature image processing technology, a heating temperature, a normal temperature, an environment temperature and the relative temperature of an abnormal point are calculated and then the running condition and the fault information of the electric equipment are automatically judged according to a relative temperature difference judging method; in this case, quick on-line detection of the running condition of the electric equipment is realized.

An information fusion technology based train wheel set tread damage online detection and recognition method comprises the steps of 1 image acquisition, 2 image pre-processing, 3 preliminary damage detection, 4 accurate damage positioning and 5 damage judgment, wherein the step 4 is that an infrared image processing result and a gray image processing result are subjected to data fusion, a tread image is marked and positioned, damaged texture and area are obtained through morphological processing, morphological processing is conducted on tread cracks to obtain the length of the cracks, and the step 5 is that features of a tread damage region are extracted and selected, a BP neural network is designed and trained, the defects of the BP neural network are classified, and reference is provided for operation situation analysis of wheels, locomotives and lines according to train wheel set tread damage information recorded by a terminal processing unit. The information fusion technology based train wheel set tread damage online detection and recognition method has the advantages of being comprehensive in detection, high in automatic degree, high in detection speed and detection accuracy and the like.

The invention discloses an automotive collision avoidance safety protecting device and a protecting method based on infrared image processing. The protecting device disclosed by the invention comprises an infrared camera and camera control subsystem, an infrared camera pickup illuminating subsystem, a central processing unit, an acoustic image and light alarming subsystem, a vehicle speed control subsystem, a signal detecting module and a power module. By an infrared imaging technology, the device and the method disclosed by the invention are suitable for the automotive safety protection under various environmental climate conditions and various road conditions; an obstacle mathematical model based on a virtual lane and an identification space is established, and precise distance measurement on an obstacle is completed; the identification space is established in the virtual lane, the range of images to be processed is limited, the quantity of processing data is effectively reduced, and the real-time performance and the rapidness of the device are guaranteed; and an obstacle distance measuring formula is derived with the obstacle mathematical model, distance measurement is simple and reliable, the practicability is stronger, normal overtaking and steering are not affected, collision accidents and real-end collision can be effectively avoided, and driving safety is guaranteed.

The invention belongs to an infrared dim-small target detection method based on shear wave conversion in the infrared image processing technology. The method comprises the following steps: processing an original infrared image by employing nonsubsampled Laplace pyramid conversion and a Shearlet filter in succession to obtain high frequency information graphs of various directions under different scales, inhibiting background and noise interference information, enhancing target information and extracting a dim-small target. According to the invention, the nonsubsampled Laplace pyramid conversion and a Shearlet filter are employed to process the original infrared image, through same scale and different scales fusion processing of the obtained the high frequency information graphs, the interference information is inhibited, the target information is enhanced, and the high frequency information graphs are subjected to segmentation to obtain a clear dim-small target graph; thereby the method has the characteristics of a short detection processing flow, small data processing amount, short processing time, capability of effectively raising performance of detecting the infrared dim-small target and obviously distinguishing a target and a complex background in the image, a good effect and the like.

The invention relates to a self-adaptive enhancement algorithm of a weighted histogram of an infrared image, which is a self-adaptive infrared image enhancement algorithm having the capacity of frequency characteristic processing of a space domain method. An image is divided into a target information section, a background information section and a noise information section by analyzing the grayscale information of each pixel of an original image so as to self-adaptively obtain two frequency factors. The first frequency factor E(i, j) is firstly utilized to weight a histogram of the original image by maintaining the frequency information of a part of pixels and modifying the frequency information of other parts of pixels to suppress noise and useless information and magnify target information; subsequently, threshold value processing is carried out on the weighted histogram through an automatic generating platform so as to obtain a new histogram; then equalization processing is carried; and finally, the other frequency factor F(i, j) is utilized to fine adjust the grayscales of each pixel. When the self-adaptive enhancement algorithm is used for carrying out infrared image processing, an infrared image with good enhancement effect can be guaranteed, and meanwhile, compared with a conventional frequency domain processing method, the self-adaptive enhancement algorithm improves the processing speed.

The invention is a kind of infrared object tracing and identifying system which includes infrared imaging, infrared image receiving, infrared image processing and image and result displaying. The infrared image is acquired through the infrared imaging device, the digital image data and output control signal are transmitted to the infrared image receiving part through digital output difference port and difference single-end circuit, the receiving part of the image uses field programmable gate array FPGA to receive 14 bits difference signal, then the data is transmitted to the infrared image processing part double digital signal processor DSP board system through token bus, carries on object detecting and tracing and identifying to the infrared image, the processing result and the original data is transmitted to the monitor through the computer bus.

The invention discloses a heterogeneous multi-core infrared image processing system and method. The method mainly includes: 1, utilizing programmable logic of a Zynq to realize a driving schedule of a detector to complete collection and caching of an infrared image; 2, utilizing a CPU0 (central processing unit 0) of the Zynq to operate a Linux operating system to write a Qt-based display and control interface; 3, utilizing a CPU1 of the Zynq to respond to a serial port command in real time, and setting a system parameter and a video driving chip online; 4, utilizing the programmable logic to realize algorithmic hardware acceleration and a driving schedule of a video chip. The heterogeneous multi-core infrared image processing system and method has the advantages that a structure of ARM+FPGA in an all programmable platform Zynq chip is utilized to develop the heterogeneous multi-core infrared image processing system, design difficulty of hardware is remarkably reduced, a system bandwidth chokepoint brought by interconnection of conventional framework chip levels is removed, simplicity and flexibility in design and integration of a user IP (internet protocol) are realized, and high universality is realized.

The invention discloses a real-time infrared image processing system suitable for a high frame rate and large array infrared detector, which is characterized in that a signal conditioning module is used for providing bias voltage drive to the infrared detector and conditioning the analog video image signal output by the infrared detector and outputting the conditioned analog video image signal to an analog-to-digital converting module; the analog-to-digital converting module is used for converting the conditioned analog video image signal to the digital video image signal and outputting the digital video image signal to a video image processing and system control module; the video image processing and system control module is used for controlling the infrared detector and carrying out image processing on the digital video image signal and outputting the digital video image signal after image processing; and a video output module is used for converting the processed data to the analog video signal and the digital video signal and outputting the signals. In the system, all the image processing algorithms are implemented by the hardware pipeline and the system has strong processing capacity, high speed, strong expansibility, small whole volume and low energy consumption and is suitable for real-time high frame rate and large array infrared detection occasions.

The invention belongs to the field of infrared image processing, and mainly relates to an infrared weak and small target detection method based on time-space domain background suppression. The infrared weak and small target detection method is used for achieving the aim of infrared movement weak and small target detection in a complicated background and includes the steps that firstly, stable background noise waves in a space domain are suppressed through guiding filtering; secondly, slowly-changed backgrounds in a time domain are suppressed with a gradient weight filtering method on the time domain through target movement information in an infrared image sequence; thirdly, the time domain background suppression result and the space domain background suppression result are fused to obtain a background-suppressed weak and small target image; finally, the image is split through a self-adaptation threshold value, and a weak and small target is detected. By means of the infrared weak and small target detection method, during target detection, space grey information of the infrared weak and small target is used, time domain movement information of the target is further sufficiently used, the background noise waves are suppressed in the time domain and the space domain, and therefore the movement weak and small target detection performance in the complex background is greatly improved.

In order to effectively process small target infrared images under the low signal to noise ratio complex background, the invention discloses a small target infrared image processing method based on the weighing local image entropy and relates to the technical field of digital image processing. Inherent features of the small target infrared images are utilized, a multi-scale gray difference operator and a local image entropy operator are provided, the weighing local image entropy is obtained through the dot product operation, so that the infrared image background and the noise are effectively restrained, a target is enhanced, and finally the signal to noise ratio of the images is greatly improved.

The invention concerns a method of image processing involving: receiving, by a processing device, an input image (IB) captured by a pixel array sensitive to infrared radiation; determining, based on the input image and on a column component vector (VCOL), a first scale factor (α) by estimating a level of the column spread present in the input image; generating column offset values (α.VCOL(y)) based on the product of the first scale factor with the values of the vector; determining, based on the input image and on a 2D dispersion matrix (IDISP), a second scale factor (β) by estimating a level of the 2D dispersion present in the input image; generating pixel offset values (β.IDISP(x,y)) based on the product of the second scale factor with the values of the matrix; and generating a corrected image (IC′) by applying the column and pixel offset values.

The invention relates to a venipuncture system with infrared guidance and ultrasonic location. The venipuncture system is characterized by comprising an infrared guidance unit and an ultrasonic location unit, wherein the infrared guidance unit comprises an infrared light source, a signal acquisition unit, an infrared image processing unit, an image projection unit and an infrared image display unit; the ultrasonic location unit comprises a high-frequency ultrasonic probe, an ultrasonic image processing unit, an ultrasonic image display unit and a puncture needle connection frame fixed on the ultrasonic probe. According to the system provided by the invention, superficial vein blood vessels can be positioned and displayed through infrared imaging, and the depth of the vein blood vessels also can be identified through the ultrasonic unit under the guidance of an infrared image, so that a needle entering angle and the depth of a puncture needle can be observed in real time, and furthermore, the venipuncture difficulty is reduced and the puncture precision is improved.

The invention belongs to the field of infrared image processing, and relates to an infrared small unmanned aerial vehicle target detection and tracking method under a complex background. The method comprises the following steps of (S1) obtaining a training sample, and training a deep convolutional neural network as an unmanned aerial vehicle target detection network; (2) obtaining a to-be-detectedtarget image in real time, inputting the to-be-detected target image into the unmanned aerial vehicle target detection network in the step (1), and outputting an unmanned aerial vehicle target detection result; and (S3) tracking the unmanned aerial vehicle target output in the step (S2) by using a kernel correlation filtering rapid tracking method. According to the method, feature extraction is carried out by adopting the residual network based on batch regularization and random discarding, so that the training efficiency and the model robustness are improved. According to the method, the context features and the semantic features are fully combined, and multi-scale discrimination is carried out by using the multi-layer fusion feature map with fine granularity, so that the detection precision of a small target is effectively improved.

The invention discloses an air-cooling condenser radiating surface temperature field measuring method based on image stitching. A radiating face of an air-cooling condenser is larger than a thermal infrared imager field. The method comprises the steps of using a plurality of thermal infrared imagers to obtain multi-width partial high-resolution infrared images of the radiating face of the whole air-cooling condenser, and setting an overlapping region between adjacent obtained infrared images; using an image processing method to conduct preprocessing and stitching on the infrared images to obtain complete infrared images of the radiating face of the whole air-cooling condenser according to gray level projection of the infrared images, enabling image resolution to be high, and enabling detail information to be abundant; and using the infrared image processing method to process corresponding temperature matrix to obtain complete temperature matrix of the radiating face of the whole air-cooling condenser according to self temperature measurement functions of the air-cooling condenser. The air-cooling condenser radiating surface temperature field measuring method can obtain continuous temperature fields of the radiating face of the air-cooling condenser, and is applicable to studying aspects of optimizing an air-cooling system and reducing energy consumption and the like according to the temperature fields. The continuous temperature fields are abundant in details.

The invention discloses a method for detecting contact net geometrical parameters based on infrared image processing. The method includes the following steps that firstly, an infrared thermal imager is installed on the top of a running locomotive and connected with a mainframe for processing and storing an infrared image; secondly, the infrared thermal imager is used for shooting an infrared image for a pantograph, the infrared image is used for making a pantograph model and relevant parameters of the pantograph model are measured; thirdly, wire height calibration is carried out on the infrared image shot by the infrared thermal imager; fourthly, the infrared thermal imager is used for collecting the positions of the pantograph continuously and transmitting the positions of the pantograph to the mainframe to be processed, the pantograph model matching calculation is carried out on the infrared image, the crossing point position between the current contact line and the pantograph is calculated out, and therefore the stagger value and the wire height are calculated out. The stagger value is the distance between the contact line and the center of the pantograph and the wire height is the vertical distance between the face of the pantograph and the top of the locomotive. By means of the method for detecting the contact net geometrical parameters based on infrared image processing, long-time stable working can be achieved, the anti-interference performance is achieved and in addition, cost can be reduced.

The invention discloses a SF6 gas detection method base on infrared image processing. The method comprises the steps of: S1, SF6 gas original infrared image is obtained with a passive infrared detection manner, and the original infrared image is subjected to non-uniformity correction, such that a corrected infrared image is obtained; S2, the corrected infrared image is subjected to normalization treatment, and the processed image is converted into a grayscale image; S3, the grayscale image is subjected to image filtering and grayscale linear transformation, such that a target image is obtained; and S4, the target image is subjected to real-time displaying. With the technical scheme provided by the invention, problems such as large infrared image noise and difficulty in real-time displaying in existing passive infrared SF6 gas leakage detection method can be solved.

The invention relates to an infrared image scaling method based on an FPGA and belongs to the technical field of image reconstruction. The method includes the steps that firstly, target pixel points are reversely transformed and mapped to an original image through image spatial transformation, a relationship between the target pixel points and the original image is converted into an mif file, and an image coordinate transformation lookup table and a distance relationship lookup table are established; then, by the use of pixel values of an interpolating point among four surrounding points in the original image and a distance relationship between the interpolating point and the four adjacent pixel points, two-dimensional linear interpolation transformation is conducted on image signals, and in the interpolation transformation process, needed image data and needed system data are read through the established lookup tables for interpolation operation. The lookup tables are established through the FPGA, an image is amplified non-integer times quickly, infrared image processing instantaneity is guaranteed, the visualization effect of an image system is good, and detail observation is facilitated.

The invention discloses a fully automatic operation method of substation equipment pollution inspection, determination and cleaning. The system of the method comprises an intelligent inspection robot, an inspection backstage module and a vehicle-borne cleaning robot. The intelligent inspection robot is used for completing the collection of a power equipment infrared image. The inspection backstage module mainly carries out the identification of a pollution level and the issuing of a cleaning command according to infrared image processing technology and an infrared expert image library. The vehicle-borne cleaning robot mainly executes a cleaning command. According to the method, since the power equipment pollution inspection, level determination and pollution cleaning equipment are integrated, the full range intelligentization of the equipment pollution processing of an unmanned intelligent substation is realized, the infrared image identification technology and intelligent inspection robot technology are applied, and the reliability and accuracy of the system are raised.

The invention relates to an FPGA-based infrared image preprocessing method. The method adopts a programmable logic singlechip FPGA with a built-in system on programmable chip SOPC and a small quantity of peripheral circuits to preprocess infrared images, the FPGA carries out all of infrared image nonuniformity correction coefficient calculation, histogram statistics, infrared image nonuniformity correction, infrared image blind pixel replacement, grey level transformation and the like, a digital signal processor DSP is not required to take part in calculation, the system structure is miniaturized, and the method solves the problems of complex circuit structure, high power consumption and low image processing efficiency of the conventional infrared image processing circuit.

The invention belongs to the field of infrared image processing, and relates to an image enhancement method based on long-wave infrared polarization feature extraction and fusion method. The method comprises the steps of (S1) collecting an infrared polarization image, and preprocessing the collected infrared polarization image; (S2) performing Stokes polarization state calculation on the preprocessed image in the step (S1), and calculating a polarization degree and a polarization angle according to a Stokes polarization state calculation result; (S3) carrying out completely polarized light decomposition calculation by using the polarization degree and the polarization angle; (S4) defining a polarization orthogonal difference value, setting a weighting coefficient, and extracting a polarization feature image, wherein the polarization feature image comprises a polarization parallel component image and a polarization vertical component image; and (S5) fusing the polarization feature imageand an infrared intensity image by using a non-downsampling shear wave algorithm. The method can effectively extract the polarization information of a target scene, has a good polarization feature extraction effect, performs fusion on the extracted polarization feature image and the infrared intensity image and significantly enhances the information content of the target scene.

The invention discloses a thermal infrared imager based on an Android system. The thermal infrared imager based on the Android system comprises an infrared camera, an ARM (advanced risc machines) hardware platform and an Android software platform, wherein the infrared camera is used for carrying out infrared thermo image data collection, A / D signal conversion, FPGA (field programmable gate array) infrared image processing, USB (universal serial bus) data conversion and infrared control; the ARM hardware platform is connected with the infrared camera via USB to transmit and process infrared image data; meanwhile, the ARM hardware platform is connected to and controls other pieces of peripheral equipment; and the Android software platform is used for operating an Android infrared analysis program and an infrared report program, the infrared thermo images collected by the infrared camera is analyzed, and an infrared thermo image report is generated and is represented on a display screen. The invention provides an intelligent mobile handheld thermal infrared imager, which is convenient for a user to carry and carry out infrared detection at any time.

The invention relates to a substation power transformer overheating fault monitoring system based on a thermal infrared imager. A data acquisition module receives data output by the thermal infrared imager. The data acquisition module acquires infrared images obtained by the thermal infrared imager into a computer monitoring software system, and the infrared images are processed by an infrared image processing module. The data acquisition module transmits obtained temperature data information to a temperature measurement and display module. After format conversion is conducted on the infrared images acquired by the infrared image processing module, the infrared images are transmitted to an image displayer. The output end of the temperature measurement and display module is connected with a temperature displaying and alarming device. According to the substation power transformer overheating fault monitoring system based on the thermal infrared imager, online timed full-automatic temperature monitoring and intelligent fault alarming can be conducted on a transformer through the online monitoring software system, remote temperature monitoring of the unattended substation power transformer is achieved, manpower and material resources are saved greatly, and traditional planned maintenance of power equipment is converted into cognition-based maintenance of power equipment.

The application discloses a method and system capable of realizing digital simulation of infrared guidance. According to the invention, based on a closed-loop system which consists of an infrared simulation platform and a guidance control system simulation platform, the method realizes infrared guidance digital simulation through combination closed loop of the infrared simulation platform and the guidance control simulation platform, wherein the infrared simulation platform processes infrared images to obtain infrared image information; then the infrared image information is subjected to target identification to obtain target identification information containing pixel position values of target information, so as to reduce the interface transmission data amount between the infrared simulation platform and the guidance control simulation platform; and the two platforms adopt a way of network communication handshake mechanism to realize the synchronization of simulation data. The communication way is flexible and ensures the data transmission real-time performance, thereby improving the operation efficiency of the system.

The invention relates to an infrared image-assisted method of recognizing the contamination condition of an insulator by a visible light image. The method comprises the following steps: collecting the visible light image of the insulator, and performing visible light image processing and visible light characteristic value extraction of the insulator; collecting the infrared image of the insulator, and performing infrared image processing and infrared characteristic value extraction of the insulator; establishing a contamination level recognizing mathematic model based on the visible light image and an infrared image information-assisted visible light image contamination state recognizing mathematic model; and selecting a corresponding mathematic model to solve the contamination level of the insulator according to the environmental relative humidity. Compared with the prior art, the method provided by the invention has the advantages of removing the influence of environmental lighting, considering the influence of a high relative humidity environment on a visible light method, and being concise and universal in mathematic model.

The invention discloses a method for processing coal gas flow center dynamic tracking and monitoring coal gas utilization rate. The method comprises the steps of 1 data collecting and processing; 2 infrared imagery processing; 3 temperature field calibration; 4 coal gas flow center dynamic tracking; 5 coal gas utilization rate monitoring. The method has the advantages that implementation is easy, temperature field calibration is achieved through the treatment on the collected infrared imagery combining crossed thermometry data and blast furnace design data, dynamic tracking on charge-level coal gas flow center fall point distribution is achieved, the coal gas flow center distribution characteristics and the corresponding coal gas utilization rates are classified, the relation between the coal gas center change and the blast furnace coal gas utilization rate is confirmed, real-time monitoring on the coal gas utilization rate is realized, the dynamic changing condition of the coal gas flow center and the relation between the dynamic changing condition of the coal gas flow center and the corresponding coal gas utilization rate can be recognized timely and accurately, on-line monitoring and visual control on the burden distribution operation of the blast furnace are achieved, and the advantages of being high in accuracy rate and strong in real-time performance are achieved.

The invention belongs to the field of infrared image processing, and provides an infrared polarization image edge detection method. The infrared polarization image edge detection method comprises the following steps: 1) colleting and pre-processing infrared polarization image information; 2) carrying out image shift processing, and separately carrying out a shift operation to the pre-processed polarization images of three channels; 3) carrying out Stokes polarization state resolution; 4) finishing polarization component decomposition; 5) carrying out superposition fusion and threshold value segmentation; and 6) carrying out morphological processing, smoothening a target outline through open operation, weakening a narrow part, removing a thin extruded part, and extracting the edge of a single pixel by morphological refined operation. Infrared polarization characteristic differences are utilized to enhance target edge outline information with transition nature and decompose intensity information ineffective to target identification, and edge information can be effectively highlighted to realize edge detection.

The invention discloses a multi-parameter online monitoring and optimizing control device and method of a polycrystalline silicon reduction furnace. The device comprises a multi-parameter infrared monitoring probe, an infrared image processing and vision measuring module and a process optimizing control module, wherein the multi-parameter infrared monitoring probe obtains an infrared image of a silicon rod in the furnace; the infrared image is collected by a data collecting module and is converted into a digital image; the digital image is analyzed and processed by an image processing module, and the diameter and the growing rate of the silicon rod are obtained through a vision measuring technology; a colorimetric temperature measurement method is used for measuring temperature distribution on the surface of the silicon rod and obtained data is accessed to a display through a user interface; and an optimizing control module is established through measured data obtained by analyzing, and different polycrystalline silicon reduction furnace types are combined to carry out closed ring optimizing control. According to the multi-parameter online monitoring and optimizing control device and method, a silicon rod growing process can be optimally controlled; and the device and the method are of great importance of saving energy and reducing consumption, improving the production efficiency, guaranteeing the production safety and reducing the labor intensity.

The invention relates to a method and apparatus for detecting infrared dim small targets under a complex background, belonging to the technical field of infrared target detection. At first, the invention adopts a bilateral filtering algorithm to preprocess the single-frame infrared images in an image sequence successively, so as to reduce noise interference in the image and enhance the signal-to-noise ratio at the target; then, a single-frame infrared target detection algorithm based on block extremum is used to detect the potential candidate target sets in each preprocessed image frame by frame; based on the spatio-temporal continuity of small targets in multi-frame images, a pipeline filtering algorithm is used to identify the possible real targets in the candidate target set; finally the false alarm removal strategy is used to eliminate the false target and finally confirm the true target. Through the process, the invention overcomes the shortcomings of weakening target intensity, blurring edge, enlarging contour and the like brought by the prior infrared image processing technology, and can better retain and enhance the dim small target information, improve the target detectionrate, and reduce the missed detection rate and false alarm rate of the target.

An embodiment of the invention discloses an infrared image processing method and an infrared image processing device. Based on data which are generated by calibrating a low-temperature black body and a high-temperature black body and used for non-uniform correction, the infrared image processing method includes the steps: normal-temperature black body imaging, offset correction, target imaging, blind pixel replacement, non-uniform correction, infrared image output and temperature judgment. A first calibrated offset and a first calibrated gain coefficient are corrected again by means of two-point correction and one-point correction for infrared images of a normal-temperature black body, and the corrected parameters are used for non-uniform correction, so that infrared image quality is effectively improved, infrared non-uniformity is reduced, the method is high in adaptability, and the device is fine in portability.

The invention, which relates to the field of infrared image processing, discloses a nonuniformity correction method and system of an infrared image. The method comprises: carrying out primary correction on a to-be-corrected image to obtain a first image; collecting uniform background images of the to-be-corrected image at a plurality of different radiation intensities and carrying out correction on the uniform background images at different radiation intensities to obtain a plurality of auxiliary images at different radiation intensities; and calculating offset backgrounds of the auxiliary images, establishing a compensation correction model at a current scene based on a weighing method, calculating weighting coefficients of the auxiliary images in the compensation correction model by enabling a quadratic sum of a pixel difference between the image after compensation correction and an expected image to be minimized, obtaining a compensation correction formula at the current scene, and carrying out compensation correction on the first image to obtain a second image. With the method provided by the invention, the influence on infrared imaging by the temperature change of the detector and the scene change can be eliminated and the infrared imaging quality can be improved.