63results about How to "Fast image processing" patented technology

The invention discloses a spatial circle geometrical parameter dual-eye solid visual measurement method suitable for non-contact type online measurement of the spatial circle geometrical parameter of an industrial product, aiming at overcoming the existing problems of low measurement precision, slow measurement speed and low automation degree. The method is divided into a calibrating stage, an image processing stage and a spatial circle fitting stage. A neural network technique is firstly adopted to carry out the calibration of a camera; a dual-camera is utilized to carry out the extraction of sub-pixel image edges of the spatial circle, a simple algorithm is developed based on the image gray gradient distribution characteristic so as to realize the match of edge points, the practical 3D spatial coordinates of the circle edges are then obtained, and the geometrical parameters of the spatial circle comprise radius, position of center of circle and orientation of the plane where the spatial circle is arranged are gained by the fitting of the spatial circle with corresponding mathematical geometrical knowledge. The spatial circle geometrical parameter dual-eye solid visual measurement method has fast image processing speed and high automation degree, and has relative measurement error of the spatial circle of superior to plus or minus 0.6% when the plane where the spatial circle is arranged has an angle of about 50 DEG with the image plane.

The invention discloses a method for segmenting color images by means of combining a Gaussian mixture model and a support vector machine. The method mainly includes extracting characteristics of an image; building the Gaussian mixture model; and classifying by the aid of the support vector machine. A particular process mainly includes firstly, extracting color characteristics and texture characteristics of the image; then building the Gaussian mixture model and obtaining new characteristics of the extracted original characteristics by the aid of the Gaussian mixture model; secondly, obtaining an initial segmentation result by the new characteristics; and finally selecting training samples according to the initial segmentation result, classifying the training samples by the aid of the support vector machine and obtaining a final segmentation result. When the characteristics are described, the image is initially segmented according to the new characteristics obtained via the Gaussian mixture model (GMM) without being based on the original characteristics, and the final segmentation result is obtained by the aid of the support vector machine (SVM). Time-space domain information of the image is sufficiently utilized, shortcomings of the Gaussian mixture model (GMM) which builds a module with a complicated background only by the aid of time domain information are overcome, and segmentation accuracy is effectively improved.

The invention discloses a high speed JPEG image processing system based on an FPGA and a processing method thereof. The high speed JPEG image processing system based on the FPGA comprises an image input device, a coding module, a central processing unit, a code stream storage device, and a code stream output device, which are connected by a system bus; the image input device obtains an original image sequence and transmits the original image sequence to the coding module; the coding module implements compression coding on the inputted image sequence and outputs a compression code stream to the code stream storage device; the central processing unit is provided with register information to control the working states of each device and each module, and simultaneously responds to a coding completion interruption signal outputted by the coding module and transfers the compression code stream in the code stream storage device into the code stream output device through DMA (direct memory access) mode. The invention can realize parallel processing on the inputted image sequence, adopts a basic system in the JPEG standard, has simple structure and is easy to realize.

The invention discloses an image ring artifact correcting method. The method comprises the step of reading an original image which is a matrix of a pixel point located at the Mth line and the Nth row; the step of calculating an edge sharpening image of the initial image and extracting the central point of the edge sharpening image; the step of respectively extracting at least three strings of data from the edge sharpening image in at least three directions with the central point as the starting point, arranging the three strings of data in the A direction in an aligned mode and aligning the central points of the three strings of data to form a plurality of sets of data in the B direction perpendicular to the A direction; the step of calculating the average value u and the variance t of each set of data in the B direction, comparing the average value u with the first threshold d1 and comparing the variance t with the second threshold d2, wherein if u <d1, the set of data are skipped, and if t<d2, at least one serial number pair of the set of data in the three strings of data is recorded; the step of calculating the external diameter and the internal diameter of a ring artifact corresponding to the serial number pair according to the serial number pair; the step of correcting the pixel value in the ring artifact in the area where the external diameter and the internal diameter are located and outputting the corrected image.

An image-capturing apparatus includes an image-capturing unit configured to sequentially output image data in a RAW format related to each of captured images as a result of a continuous series of image capturing operations; a signal processor configured to perform a predetermined process on the image data in a RAW format and output processed image data; image processing circuits configured to perform a luminance / color-difference conversion process and a data compression process on the processed image data and output compressed image data; and a recording controller configured to cause compressed image data output from the image processing circuits to be recorded in a predetermined recorder. The signal processor includes a selection output unit configured to selectively output the processed image data related to each of the captured images to the image processing circuits and cause the image processing related to each captured image to be shared by the image processing circuits.

The invention discloses a monitoring and controlling method and system of a solidification structure form of laser additive manufacturing based on pictures. The monitoring and controlling method of the solidification structure form of laser additive manufacturing based on pictures comprises the steps that step 1, pictures of a molten pool are collected in real time in the process of laser additivemanufacturing, and the collected pictures of the molten pool are output; step 2, the collected pictures of the molten pool are subjected to treatment, and dynamic characteristic parameters of the molten pool are obtained; step 3, a solidification structure form after the process of laser additive manufacturing is forecasted according to the obtained dynamic characteristic parameters of the moltenpool; and step 4, if the forecasted solidification structure form does not meet requirements, machining parameters in the process of laser additive manufacturing are adjusted, and thus the dynamic characteristic parameters of the molten pool are adjusted to required states. The monitoring and controlling system of the solidification structure form of laser additive manufacturing based on picturescomprises a molten pool picture collecting module, a molten pool picture processing module, a structure form forecasting module and a structure form controlling module. According to the monitoring and controlling method and system of the solidification structure form of laser additive manufacturing based on pictures, online monitoring and predictive controlling of the solidification structure form of laser additive manufacturing are achieved, and the advantages that the implement method is simple, the cost is low, the control efficiency is high, the reliability is high and the like are realized.

The embodiment of the invention discloses an image processing method and an image processing device. The method comprises the steps of separating a luminance component and a chrominance component of an original image, and obtaining an original brightness image and an original chrominance image; based on the fast filtering algorithm, performing filtering treatment on the original brightness image to obtain a first brightness image; performing curve adjustment on the original brightness image to obtain a second brightness image; based on the alpha fusion algorithm and the first brightness image,performing image fusion on the original brightness image and the second brightness image to obtain a target brightness image; obtaining a target image based on the target brightness image and the original chrominance image. By applying the scheme provided by the embodiment of the invention, during the image processing operation, on the premise that the processing effect is ensured, system resources occupied by the image processing algorithm can be reduced. Compared with the prior art, the image processing speed is increased.

The invention provides a method for 3-D SAR wavenumber domain fast imaging. The method just reestablishes area of interest but not a whole three-dimensional observation area scene, thereby preventing sharp increase of data size, and fast imaging process can be performed.

The invention discloses a heterogeneous processing system based on GPU and FPGA. Two GPU SOC modules are connected to an FPGA module by virtue of PCIE X4 and are taken as two PCIE slaves of the FPGA module for performing data interaction; the two GPU SOC modules are connected to the gigabit Ethernet switching module by virtue of an internal Ethernet interface; the FPGA module is connected to a host by virtue of the PCIE X4, so that the two GPU SOC modules realize the data interaction with the host; and the gigabit Ethernet switching module is connected to the host by virtue of a network interface of CPCIE, and gigabit Ethernet data interaction between the two GPU SOC modules and the host is realized. The heterogeneous processing system disclosed by the invention has the characteristics oflow power consumption, strong operational performance, simple structure, flexible design, simplicity in development, cascadable performance and multiple applicable scenes.

This invention relates to one method to improve infrared image quality and discloses one device to improve the infrared image quality to remove infrared images background cell shapes and block spot, which comprises the following steps: through infrared image grey histogram to compute noise even area upper and down values to determine noise even area; according to the area to extract infrared image background cell shape and block spot position for replacement on grey value. This invention device comprises noise even area extraction module and spot extraction and replacement module.

The invention discloses an image characteristic extraction method with illumination robustness. The method comprises the following steps of: 1, collecting and uploading image signals, and adjusting resolution; 2, extracting image characteristics: carrying out two-dimensional wavelet transformation, transforming a low-frequency component after the two-dimensional wavelet transformation in a logarithm space, carrying out convolution calculation by using k Gaussian filter coefficients and low-frequency wavelet coefficients in the logarithm space, carrying out weighted average on a deviation between a convolution result and a low-frequency wavelet coefficient in the logarithm space, carrying out grey value linear stretching on the weighted average result, carrying out the two-dimensional wavelet inverse transformation of three high-frequency coefficients in a wavelet domain and the grey values to be displayed, repeating the steps, collecting and processing L image signals, and extracting the characteristics of the processed image signals; and 3, synchronously outputting processing results. The method disclosed by the invention has the advantages of rational design, convenience for realizing, low investment cost, simpleness and convenience for operation, good image processing effect and strong practicability. The illumination transformation robustness is increased.

The invention provides a solar cell panel defect detection system based on machine vision. The solar cell panel defect detection system comprises a vision camera, a vision analysis module, a PLC and aremoving device, wherein the vision camera is used for acquiring images of the surfaces of solar cell panels and transmitting the acquired images to the vision analysis module; the vision analysis module processes and analyzes the images transmitted by the vision camera and transmits a detection result to the PLC; and the PLC is connected with a sensor at the same time, the sensor counts the found solar cell panels with flaws and transmits a trigger signal to the PLC, and the PLC controls the removing device to remove the solar cell panels with the flaws. According to the solar cell panel defect detection system, an advanced algorithm and image processing software of the intelligent camera are adopted to more accurately detect the flaws which cannot be observed by the naked eyes, the image processing speed is high, the detection efficiency is high, compared with manual detection, the detection efficiency is improved by 90%, the detection rate of the tiny flaws is improved by 80%, andmanual detection is perfectly replaced.

An image data transfer method including the steps of: (a) reading pixel data of a two-dimensional image stored in a first image storage and having a plurality of pixels, the position of each of the pixels being represented by coordinates of first and second directions, the pixel data being read by scanning data transfer units of the pixel data in the second direction where each of the data transfer units is formed by data of a predetermined number of pixels consecutive in the first direction; (b) writing the data transfer units read at step (a) in a temporary data storage where data is stored at a position designated by a combination of first and second addresses, the data transfer units being written in burst mode in a region of the temporary data storage in which the first addresses are consecutive while the second address is fixed; and (c) reading the data transfer units written in the temporary data storage from the region in which the first addresses are consecutive while the second address is fixed in burst mode and writing the read data transfer units in a second image storage.

The invention provides a rapid time-domain imaging method suitable for a circular synthetic aperture radar. The whole process of the method comprises three processing steps of 1 subaperture partition and initial subimage generation, 2 circular recursion subaperture merging and subimage generation and 3 full aperture merging and final image generation. The rapid time-domain imaging method suitable for the circular synthetic aperture radar has the advantages that a subaperture processing technology is adopted, the calculated amount of the time-domain imaging method is greatly reduced at the time of keeping the high precision of the time-domain imaging method, therefore, the imaging processing efficiency is improved, rapid and high-precision imaging process of the CSAR is achieved, and a high-quality CSAR image is obtained.

The double-channel location processing system based on CMOS camera chip is formed from CMOS camera chip, lens, signal conversion circuit, programmable control circuit, DSP (digital signal processor) processing chip hardwares and correspondent control processing software. It utilizes the double-channel visual information of same target to make simultaneous processing to implement the function of extractnig location information of relative target. According to the requirements said system can be integrated on an integrated circuit board or integrated on a large chip by means of customized (ASIC, special-purpose integrated circuit) chip.

The invention discloses raw silk defect detection equipment. An analog-type photoelectric sensor and a camera are arranged near a raw silk traction path; the analog-type photoelectric sensor continuously tests an individual filament and is used for finding defects, determining the positions of the defects and preliminary determining the sizes and the types of the defects; the analog-type photoelectric sensor is connected with a first data acquisition card, and transmits data to the first data acquisition card; the first data acquisition card is connected with a computer and a control card; thecamera is connected with a second data acquisition card, and transmits data to the second data acquisition card; the second data acquisition card is connected with the computer and the control card;after the analog-type photoelectric sensor detects the defects, the camera is triggered by the control card to shoot pictures of the defects, and the defect images are processed by the computer so asto judge the types of the defects, so that the defects are graded according to the types, the shapes and the sizes of the defects. Based on the photoelectric sensor and machine vision, the raw silk defect detection equipment can completely replace blackboard inspection.

The invention discloses an online invigilation remote video cheating determination system and method, particularly relates to remote video cheating determination, belongs to the field of video recognition, and aims to solve the problems that in the prior art, whether cheating behaviors exist in the examination process of students or not cannot be accurately determined, and invigilation resources are wasted. The method comprises the steps that a plurality of cameras at a main position and an auxiliary position collect video streams and input the video streams into the same processing device; the processing device synthesizes the video streams and transmits the synthesized video stream to an Internet cheating determination center server of the Internet through the Internet; and the determination center server recognizes the video stream according to video content acquired on site, determines whether cheating occurs or not according to actions, postures and sight ranges of students in thevideo in the recognition process, and finally pushes the information of suspected students to an invigilation teacher terminal. Through video remote recognition, whether cheating behaviors exist in the student examination process or not is effectively determined, and due to remote image processing and system reminding, invigilation resources are saved, and the invigilation process is real-time and accurate.

By the idea of the location problem, the invention discloses a still image coding compression method based on a non-symmetric adverse-layout model, which is called an NAMC representation method for short. A coding technology mainly divides a gray-scale image into nonoverlapping same-class blocks by utilizing an expanding Gouraud shadowing method and a rectangular non-symmetric adverse-layout model method; then all the same-class blocks are coded. A decoding technology mainly reconstructs a decoding image by utilizing the expanding Gouraud shadowing method according to a coordinates table and a color table of NAMC coding result. On the premise of ensuring the image quality, the NAMC representation method has lower bit rate and less number of the blocks, thus has higher processing speed, and is an image coding compression method superior to the commercialized JPEG method at present. The still image coding compression method can not only be used in the traditional JPEG market such as scanners, printers, digital cameras, etc., but can also be used in the emerging field such as network transmission, wireless communication, medical images, etc.

The invention relates to an FPGA real-time enhancing system of a color image. The system is characterized by high integrated level, high image processing speed and high instantaneity, and enables a processing system to be more compact in hardware and more reliable in operation. The system comprises a camera control module, a histogram statistics module, a VGA control module, a gray stretching algorithm module and a PLL control clock module, and is structurally characterized in that a Cameralink interface module is connected with the camera control module, the camera control module is connected with an RGB to HVS module and the histogram statistics module, the histogram statistics module is connected with an RAM 1 and an RAM 2, the RAM 2 is then connected with the gray stretching algorithm module, the RGB to HVS module is also connected with the gray stretching algorithm module, the gray stretching algorithm module outputs stretching data to an HVS to RGB module, and the VGA control module is connected with a VGA display module.

The invention relates to a soccer robot projection recognition algorithm; compared with other methods, the algorithm has the advantages of less calculation amount, quick image processing speed, easy realization, and the like. The concrete realization method comprises the steps of firstly dividing the site of a competition image into a plurality of areas and searching a seed point in the video image areas, later implementing search in a target area along vertical or horizontal direction by taking the point as a starting point, and then calculating the projection value of the point, recognizing a vertex of a target (or the spherical center of a small ball) according to the projection value, and further recognizing the target; and finally extracting the position and direction of a moving target. The algorithm can be directly applied to an actual game, can quickly and accurately recognize the target, and can meet the needs of soccer robot competition systems with different functions on different application occasions.

The invention discloses a four-dimensional cone beam CT (Computed Tomography) reconstructed image enhancement algorithm based on N-net and CycN-net network structures. The method is designed on the basis of fully mining inherent characteristics of four-dimensional cone beam CT reconstructed images, the deep neural network CycN-net takes analysis reconstructed images of five continuous motion phases and corresponding prior images as network input, and takes prior knowledge in four-dimensional cone beam CT image sequences and space-time correlation among the image sequences into consideration; the extracted convolutional feature maps are stitched and fused to serve image restoration. The deep neural network CycN-net in the invention has excellent performance for recovering the four-dimensional cone beam CT image sequence with high temporal-spatial resolution, and can recover and maintain detail structure information in the reconstructed image to the greatest extent while effectively inhibiting serious bar artifacts.

The invention relates to a residual feed counting method, in particular to a prawn culture residual feed counting method based on a full convolutional neural network. The method comprises the following steps: S1, collecting a test residual bait image; S2, performing calibration; S3, dividing into a test set and a training set according to a proportion; S4, building a model; S5, performing pre-training; S6, training, testing and perfecting; S7, obtaining a binary image; S8, performing iterative corrosion; and S9, counting and summing the connected domains on the extreme corrosion image to obtain the residual bait particle number on the residual bait image. The counting method is high in accuracy.

The invention discloses an overlapping rectangular subpattern-based non-symmetry and anti-packing model (NAM) image representation method, which comprises a coding process and a decoding process. The coding process mainly comprises the following steps of: dividing a gray image matrix into same-class blocks which can be overlapped by utilizing an extended Gouraud shadowing method and four criterions of an overlapping rectangular NAM; and coding all the same-class blocks to acquire a color table P and a coordinate table Q of the same-class blocks. The decoding process mainly comprises the following steps of: decoding coordinate matrixes H, V and I according to the coordinate table Q, reconstructing a decoded image by utilizing the extended Gouraud shadowing method according to the H, the V, the I and the color table P, and calculating the peak signal to noise ratio (PSNR) of the reconstructed image. On the premise of ensuring the quality of the image, the method has a low bit rate, a small number of blocks and high processing speed, and can be applied to the conventional joint photographic experts group (JPEG) market as well as the emerging fields of wireless communication, network transmission, medical images and the like.

The invention belongs to the technical field of medical equipment, and discloses an intelligent chromosome abnormal karyotype image base control system and control method thereof. The intelligent chromosome abnormal karyotype image base control system comprises an image acquisition module, a central control module, an image processing module, an image base construction module, an information extraction module, a storage module and a display module. The invention can improve the image processing speed of chromosomes through the image processing module. At the same time, the invention can prepare the chromosome abnormal karyotype images of more chromosome abnormal combination type through the image base construction module, specimens are easily available and waste excess cells can be transformed into useful materials for chromosome karyotype analysis, such as teaching demonstration, technical assessment, interlaboratory quality assessment and resource sharing, which will have unexpectedeffects on improving diagnostic level and strengthening quality management. The probability of misdiagnosis is reduced.

The purpose of the invention is to provide a camera device which has an increased design free degree and thus is applicable to various purposes. In more than three modules which comprise a camera shooting module (20) for shooting an object to be shot and acquiring image data, and an external communication module (40) communicated with external equipment, and have different functions, modules selected in a manner that at least the camera shooting module (20) and the external communication module (40) are included are detachably connected to form the camera device (10). Each module has a communication part (21, 41) which communicates with each other by using generalized universal signals.

An image processing apparatus of the invention refers to a color conversion table, which represents a mapping of first image data expressed in a first color system to second image data expressed in a second color system, so as to attain color conversion of first image data into second image data. The second image data stored in the color conversion table have gone through an encoding process, which enhances a variation in tone value of the second image data in a predetermined tone area while compressing the variation in tone value of the second image data in a residual tone area. The color conversion process decodes the color conversion table, reconstructs the decoded color conversion table, again encodes the reconstructed color conversion table, refers to the encoded color conversion table for color conversion, and decodes the resulting encoded second image data. This arrangement ensures highly accurate color conversion.

The invention discloses a rapid medical image processing device, and the device comprises a box. The upper end of the box is provided with a camera, and two sides of the camera are provided with infrared scanning apparatuses. The surface of the upper part of the box is provided with a touch display screen, and a medical card swiping apparatus is disposed below the touch display screen. An ID cardrecognition scanning apparatus is disposed below the medical card swiping apparatus, and an operation slot is disposed at the left side of the ID card recognition scanning apparatus. The interior of the operation slot is provided with a control keyboard and a mouse. A medical image scanning inlet is disposed below the operation slot, and the interior of the medical image scanning inlet is providedwith medical image scanning equipment. A printing outlet is disposed below the medical image scanning inlet. The device is stable in structure and operation, can achieve the quick scanning and quickprocessing and diagnosis of different types of medical images, is diversified in diagnosis feature libraries, is quick in image processing and feature matching, is stable in feature matching correction, can effectively guarantee the diagnosis processing accuracy of the medical image, and meets the conventional application requirements.

A method for image processing in a computerized system reduces the amount of memory required for image processing and produces a layered effect which permits complex manipulation such as scaling and rotation without long delay, while allowing earlier versions of the visual image to be recalled. The method involves pre-processing, image editing and raster image processing.