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33 results about "Standard test image" patented technology

A standard test image is a digital image file used across different institutions to test image processing and image compression algorithms. By using the same standard test images, different labs are able to compare results, both visually and quantitatively.

Soft defect printability simulation and analysis for masks

Masks that include optical proximity correction or phase shifting regions are increasingly being used in the manufacturing process. These masks, either initially or after repair, can have “soft” defects, e.g. phase and / or transmission defects. In accordance with one feature of the invention, soft defect information can be computed from standard test images of a mask. This soft defect information can be used to generate an accurate simulated wafer image, thereby providing valuable defect impact information to a user. Knowing the impact of the soft defect can enable a user to make better decisions regarding the mask. Specifically, a user can now with confidence accept the mask for the desired lithographic process, repair the mask at certain critical locations, or reject the mask, all without exposing a wafer.
Owner:SYNOPSYS INC

Method for discriminating focus quality of image pickup device

A focus-quality judging method includes the following steps. Firstly, a comparing object including a target area is provided. A reference image pickup device is provided to shoot the comparing object to obtain a standard image including a standard target area image. Then, a first pixel number contained in the standard target area image is counted. The comparing object is shot by a test image pickup device to obtain a test image including a test target area image, wherein the test image has the same resolution as the standard image. Then, a second pixel number contained in the test target area image is counted. The first pixel number contained in the standard target area image is compared with the second pixel number contained in the test target area image. According to the comparing results, it is discriminated whether the test image pickup device performs an accurate focusing operation.
Owner:PRIMAX ELECTRONICS LTD

Projector projection quality detection method and electronic equipment thereof

The invention discloses a projector projection quality detection method, which comprises the steps of: (1) controlling a projector to project a preset standard test image; (2) controlling a camera toshoot the standard test image projected by the projector so as to obtain a shot image; (3) receiving the shot image obtained by the camera, comparing a color difference value, a brightness differencevalue and a contrast difference value between the shot image and the standard test image; (4) and judging whether the color difference value between the shot image and the standard test image exceedsa corresponding color preset range, judging whether the brightness difference value exceeds a corresponding brightness preset range, judging whether the contrast difference value exceeds a corresponding contrast preset range, and outputting corresponding prompt information if so. The projector projection quality detection method can precisely judge the projection quality of the projector, and output the corresponding prompt information to remind relevant personnel to perform related processing. The invention further discloses corresponding detection equipment.
Owner:DONGGUAN POLYTECHNIC

Image quality evaluation method of road traffic closed-circuit television based on machine vision

The invention discloses an image quality evaluation method of a road traffic closed-circuit television (Closed-Circuit Television, CCTV) based on machine vision, specifically comprising: displaying preset standard images through a portable imaging device; after carrying out a complete set of steps of the CCTV system, outputting real images at a display terminal, wherein the complete set of steps comprises collection, coding, transmission, decoding and so on; photographing over against the display terminal of the CCTV system by a high definition industrial camera to obtain test images; respectively extracting vision features from the test images and the standard images by an information processing unit, comparing and analyzing the vision features, calculating the values of a series of image quality evaluation indexes; resolving the overall object evaluation results of the image quality through an image quality multi-index fusing model by the information processing unit. According to the invention, comprehensive evaluation is carried out to the complete set of CCTV system at the same time without influencing the existing device operation; the overall object evaluation results of the image quality in accord with subject evaluation can be obtained; the method and the system are simple in principle, low in cost and convenient in operation.
Owner:CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST +1

Gray level image matching method and system

The invention suits the image processing field and provides a gray level image matching method and a system. The method comprises the following steps: acquiring a standard image and an image to be detected; respectively sampling the standard image and the image to be detected to obtain a standard sampling image and a sampling image to be detected; acquiring a rough matching region on the sampling image to be detected according to the standard sampling image; and acquiring a target region on the image to be detected according to the rough matching region and the standard image. In the embodiment of the invention, the acquired standard image and the image to be detected are sampled to obtain the standard sampling image and the sampling image to be detected, the rough matching region is obtained on the sampling image to be detected according to the standard sampling image, and the target region can be obtained on the image to be detected according to the rough matching region and the standard image. The method has the advantages of less computation amount of the matching process, short time and accurate matching result.
Owner:HANS LASER TECH IND GRP CO LTD +2

automatic PCB (Printed Circuit Board) scan image matching method and system

The present invention is applicable to the field of image scanning and provides an automatic PCB scan image matching method. The method comprises: step A, extracting marking points of a PCB scan image and a standard image, and acquiring coordinates of the marking points; step B, according to the coordinates of the marking points on the standard image and the coordinates of the marking points in the same positions of the PCB scan image, determining a transform matrix K for transforming the standard image into the PCB scan image; and step C, transforming the standard image according to the transform matrix K to obtain a standard template image. According to the automatic matching method and system provided by the present invention, a space transformation relationship between two images is found out by adopting a bilinear transform algorithm according to corresponding relationships among the coordinates of the similar feature points of the PCB scan image and the corresponding standard image, thereby acquiring a standard image with the same size as the scan image for subsequent defect comparison; and no manual interference is required, matching points can be automatically found out and calculated, the obtained scan image is substantially not distorted, and the matching is relatively precise, so that a foundation is laid for subsequent defect identification.
Owner:SHENZHEN UNIV

Single-image super-resolution reconstruction method

The invention discloses a single-image super-resolution reconstruction method used for solving the technical problem that image reconstruction precision is low in an existing image super-resolution reconstruction method. According to the technical scheme, firstly, high / low-resolution image blocks are extracted through a great number of high-resolution images and serve as a dictionary; then, according to input image blocks, the low-resolution image blocks in the dictionary are selected to conduct calculation of a deformation field; finally, the corresponding high-resolution image blocks in the dictionary are deformed. A final high-resolution image is obtained through local restriction and global restriction. By means of the deformable image blocks, the expression capability of the dictionary is greatly enhanced, and therefore the final reconstruction effect is improved. The 30000 7*7 image blocks are selected to serve as the dictionary. When the extraction step length of the image blocks satisfies the equation that S=1, and super-resolution reconstruction with the enlargement factor being 3 is conducted on a 256*256 standard test image which is a Lena image, reconstruction precision satisfying the equation that PSNR=31.53 can be achieved and is higher than the reconstruction precision satisfying the equation that PSNR=29.68 in documents.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Image recognition method, terminal device and computer readable storage medium

The embodiment of the invention discloses an image recognition method, a terminal device and a computer readable storage medium. The method comprises the following steps: determining image interference information, and removing the interference information in an input source image based on the image interference information to obtain a standard image; and determining a plurality of groups of imageprocessing parameters corresponding to the image interference information, and processing the standard image according to each group of image processing parameters to obtain a plurality of feature images to be processed; and performing feature extraction on the plurality of to-be-processed feature images through a multi-channel feature extraction model to obtain a plurality of image features, anddetermining a target image feature from the plurality of image features; and inputting the target image features into an image classifier, and determining a target object in the input source image through the image classifier. By adopting the embodiment of the invention, the accuracy of the image recognition method can be improved, the complexity of the image recognition method is reduced, and the applicability of the image recognition method is improved.
Owner:HUAWEI TECH CO LTD +1

Method for generating sample images under all vision angles on basis of standard image

The invention relates to the technical field of pattern recognition, in particular to a method for generating sample images under all vision angles on the basis of a standard image. The method comprises the following steps: firstly, a plurality of parameters are adopted to determine the space three-dimensional positions where a camera is located when in shooting, all values of the parameters are combined to be capable of covering all the positions where the camera can be located in the three-dimensional space, and each group of values only corresponds to a certain position in the space; then two groups of different parameters corresponding to two different space positions of the camera are used for showing the transformation relation among real images shot by the camera at the two positions; and then the transformation relation is applied to the real images shot at the first camera position, and a sample image can be generated. The image transformation relation leads the generated sample image to be capable of simulating the real images shot from corresponding vision angles completely, and can generate needed image under specified vision angle by controlling the values of the parameters.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Compressed Sensing Image Processing Method Based on Optimized Layered Discrete Cosine Transform

Compared with the layered DCT coded image, the compressed sensing image processing method based on the optimized layered discrete cosine transform of the present invention still has multi-resolution characteristics, the amount of data collected by the image and the computational complexity of encoding and decoding are all reduced, and Image compression has been significantly improved. In the present invention, the top-level data of the layered DCT is no longer subjected to DCT transformation coding, but the top-level data are directly used as low-frequency sub-bands, and the high-frequency sub-bands are randomly measured by compressed sensing, the coding steps are simplified, and the coding efficiency is further improved. It is beneficial to further optimize the network transmission of images / videos; in the decoding process, the top-level data IDCT process is correspondingly omitted. The invention makes the coding and decoding complexity of the layered DCT simpler than that of the original layered DCT, and the coding effect is more remarkable. By comparing the standard test images, the experimental results show that the quality of the restored images is relatively good, and the peak signal-to-noise ratio of the standard 512×512 test image Lena compression can be increased by 2-4dB when the compression rate is high.
Owner:TIANJIN NORMAL UNIVERSITY

Acquisition method of standard image in automated optical inspection, and automated optical inspection equipment

The invention discloses an acquisition method of a standard image in automated optical inspection, and automated optical inspection equipment. The method comprises the following steps: continuously acquiring a scanned image of a to-be-inspected object; acquiring the difference between the scanned image and the current standard image; determining whether to update the current standard image according to the difference; and updating the current standard image by using the scanned image if needing to update the current standard image, thereby obtaining the final target standard image. Through themethod disclosed by the invention, the situation that the obtained target standard image is free from defect can be guaranteed, and then a detection effect of performing defect detection by using thetarget standard image can be improved.
Owner:BOE TECH GRP CO LTD +1

Texture image identification method and texture image identification device

The invention discloses a texture image identification method which includes the following steps: preprocessing a texture image and extracting a character area; performing coordinate-system conversion on the character area and calculating a projection histogram; performing Fourier transformation on the projection histogram so as to obtain the characteristic vector of the texture image; and executing the above-mentioned steps on a to-be-identified texture image and a standard texture image so that the characteristic vector of the to-be-identified texture image and the characteristic vector of the standard texture image are obtained and calculating the similarity between the characteristic vector of the to-be-identified texture image and the characteristic vector of the standard texture image and judging whether the to-be-identified texture image is a standard texture image according to a similarity threshold. The invention also discloses a texture image identification device. The texture image identification method and identification device are great in identification effect of dynamic objects, high in interference resistance, low in identification missing rate, particularly low in error identification rate, simple in calculation, great in instantaneity and capable of satisfying real-time target detecting tasks under a dynamic scene.
Owner:TSINGHUA UNIV

Image area selection method and terminal equipment

The invention relates to the technical field of image processing, and provides an image area selection method and terminal equipment. The method comprises the following steps of: obtaining a standardimage and selecting a pre-selected area from the standard image according to a pixel feature of a to-be-detected target; extracting and storing position information, in the standard image, of the pre-selected area; obtaining a to-be-detected image, comparing the to-be-detected image with the standard image, and adjusting the to-be-detected image into an image consistent with the standard image inthe aspect of direction; and selecting an image of the to-be-detected area from the adjusted to-be-detected image. According to the method, the position of the to-be-detected area in the to-be-detected image can be determined by utilizing the position information of the pre-selected area in the standard image, and under the condition that the image feature of the to-be-detected image is inconspicuous, the to-be-detected area still can be correctly selected from the to-be-detected image according to the position information, so that the correctness of selecting the to-be-detected area is greatly improved.
Owner:RISEYE INTELLIGENT TECH SHENZHEN CO LTD

Projection equipment optical performance measurement device and method based on motion control

The invention discloses a projection equipment optical performance measurement device and method based on motion control. The device comprises a control processing system, a three-dimensional motion mechanism and a chroma meter, wherein the chroma meter is mounted on the three-dimensional motion mechanism, the control processing system is used for sending standard test image data to projection equipment, sending a motion control instruction to the three-dimensional motion mechanism, acquiring measurement data of the chroma meter and processing the measurement data to acquire measurement data in consistent with comparison conditions, the three-dimensional motion mechanism is used for doing motion according to the motion control instruction and making the chroma meter move to a designated point to carry out optical performance measurement on the projection equipment, and the chroma meter is used for carry out optical performance measurement on the projection equipment to acquire measurement data. The measurement device and the measurement method are advantaged in that optical performance of the projection equipment can be automatically measured, and optical performance measurement cost of the projection equipment is reduced.
Owner:GUANGZHOU INST OF MEASURING & TESTING TECH

Image doctor visual recognition capability quantification method and system

InactiveCN107633515ASolve the problem of contradictory indicatorsIncreased sensitivityImage analysisMedical imagesPattern recognitionVisual recognition
The invention discloses an image doctor visual recognition capability quantification method and system. The system comprises a test database module, a subject behavior acquisition module, a behavior data output module, a data calculation module and a result display module. The test database module is used for selecting N medical image standard test images according to test requirements as images to be marked; the subject behavior acquisition module is used for subject mark images; the behavior data output module is used for recording the behavior data into an Excel form; the data calculation module is used for extracting the Excel form and calculating an image doctor visual recognition capability curve and the area under the curve; and the result display module is used for displaying the image doctor visual recognition capability curve and the area under the curve. Three core indications of the image doctor visual recognition capability is fused into one quantitative index, thereby realizing a purpose of quantitatively measuring the image doctor visual recognition capability.
Owner:XIDIAN UNIV

Test method and test system for display roughness of display

A test method for display roughness of a display comprises: selecting multiple regions from a white standard test image by an optical instrument to perform optical consistency verification, if the difference of optical consistency of the multiple regions being more than or equal to a threshold value, selecting other multiple regions from the white standard test image again until the optical consistency of the multiple regions being the same, namely the difference of optical consistency of the multiple regions being less than the threshold value; selecting one test point in each region from the multiple regions of the same optical consistency; in a set backlight situation, using the white standard test image as a display background, testing the luminance value of each test point; calculating the luminance standard deviation sigma and the luminance average value mu of the multiple test points based on the luminance value of each test point; and calculating the roughness Grain based on the following formula. By use of the test method and the test system, the roughness can be tested conveniently, effectively and quickly. With low cost and high reliability, the test method and the test system can be used to measure the display effect of a projection type display.
Owner:SHANGHAI VISTEON AUTOMOTIVE ELECTRONICS SYST

Real-time image correction method based on cell phone platform

ActiveCN106952231AA Real-Time Correction Method for Image DistortionRealize real-time image correctionImage enhancementGeometric image transformationImage correctionStandard test image
The invention discloses a real-time image correction method based on a cell phone platform. The method comprises the following steps of: 1, capturing a standard test image and calculating a correction matrix by using the standard test image; 2, storing the correction matrix in an online database for real-time downloading; 3, inputting the height and the arm length of a cell phone user to obtain a cell phone photographing height, downloading all the corresponding correction matrix data from the online database according to the photographing height, and storing all the corresponding correction matrix data in the local memory of the cell phone; 4, subjecting the image captured by the cell phone to coordinate transformation: searching a correction matrix corresponding to the angle information acquired by a direction sensor in real time in the local memory of the cell phone, and transforming the coordinate of each pixel in the image captured by the cell phone in real time into the coordinate of each pixel in a corrected image according to the correction matrix and a given transformation relation; and 5, performing grayscale interpolation calculation to obtain the grayscale values of respective pixels in the corrected image with transformed coordinates.
Owner:NANJING UNIV

Image test method and image test device

The invention discloses an image test method and an image test device. The method comprises the following steps: acquiring a test image and a standard image corresponding to the test image; extracting the feature points of the test image and the feature points of the standard image through a scale-invariant feature transform algorithm, and determining a first number of matching feature points from the feature points of the test image and the feature points of the standard image; removing mismatching points from the first number of matching feature points through a random sampling consensus algorithm to get a second number of matching feature points, judging whether the test image and the standard image match each other according to the first number and the second number, and determining a homographic matrix between the test image and the standard image according to the second number of matching feature points after matching; and determining the tensile state of the test image at the time of display according to the homographic matrix.
Owner:CHINA MOBILE COMM CORP TIANJIN

A face image quality classification and evaluation method based on supervised deep learning

The invention discloses a face image quality classification and evaluation method based on supervised deep learning. The method comprises the steps of screening out a high-definition image set Q2 froman original image set Q0; carrying out face recognition tests under different brightnesses, and selecting a corresponding brightness value when the recognition rate is obviously changed to obtain a high-definition image set Q3 with proper brightness; carrying out face recognition testing on a plurality of images of the same object in Q3, and selecting an image which exceeds a certain threshold value and has a high similarity score as a standard image set A; the Q1 and the A are subjected to face recognition testing, and the image is divided into a very fuzzy image which may generate a poor authentication result, a relatively clear image which may generate a good authentication result in most environments and a very clear image which may generate a good authentication result in any environment according to the similarity score; Each type of image is subdivided into an image with appropriate brightness, an image with slightly bright brightness and an image with slightly dark brightness;and finally, the face images are divided into nine types.
Owner:WISESOFT CO LTD

Machine vision label proofreading method based on vector object segmentation

The invention discloses a machine vision label proofreading method based on vector object segmentation. The method comprises the following steps: 1, obtaining a standard sample grid image group by performing analyzing and storage processing on a standard sample image of a label, wherein the standard sample image comprises a standard sample vector figure, a standard sample vector text and a standard sample grid mage; 2, obtaining a sample image to be detected of a label to be detected for comparing with the standard sample grid image group so as to obtain difference images different from the standard sample image in the sample image to be detected; and 3, by taking a storage unit as a unit, presenting a proofreading result to an operator so as to complete proofreading. The method automatically processes vector figures and vector texts, prevents occurrence of the difference images not needing attention in the proofreading, and enables the proofreading result to present real differences between a sample to be detected and a standard sample.
Owner:可口可乐装瓶商生产(东莞)有限公司 +1

A method for detecting the quality of the inner wall of a pcb via hole

A method for detecting the quality of the inner wall of a PCB via hole, comprising the following steps: Step 101: Obtain a PCB to be tested and a standard template; Step 102: Use terahertz wave imaging technology to collect the original image of the PCB to be tested and the original image of the standard template; Step 103: Perform thresholding and denoising processing on the original image of the PCB to be tested and the original image of the standard template to obtain the restored image to be tested and the restored image of the standard template; Step 104: Calculate the characteristic function of the restored image respectively, and obtain the via hole center and aperture information; Step 105 : Perform template matching operation on the feature information of the restored image of the standard template and the restored image to be tested; Step 106: If the matching operation result is within the allowable error range of production, then the detection is qualified; Step 107: If the result of the matching operation exceeds the allowable error range of production , it shows that the test failed. The invention effectively realizes the detection of the quality of the inner wall of the via hole and guarantees the quality of PCB products.
Owner:ZHEJIANG OULONG ELECTRIC

Display screen visual angle measurement method based on image recognizability

The invention discloses a display screen visual angle measurement method based on image recognizability, and relates to the technical field of visual angle measurement. The method comprises the following steps: 1: carrying out equipment installation and test preparation; 2, inputting a standard test image to the tested display screen through a signal generator; 3, changing the measuring point leftwards or rightwards by taking the point P0 as a reference measuring point; 4, carrying out identification degree measurement; 5: carrying out four component function synthesis on the identifiable degree VDL; and 6, carrying out value taking based on the steps, and completing measurement of the visual angle of the display screen. According to the display screen visual angle measurement method based on the image recognizability, the display screen visual angle measurement operation is accurate and convenient, the adaptability is high, the image resolution is high, and the image quality guarantee of display screen watching is obtained by calculating the optimal visual angle.
Owner:王斌

Gray level image matching method and system

The invention suits the image processing field and provides a gray level image matching method and a system. The method comprises the following steps: acquiring a standard image and an image to be detected; respectively sampling the standard image and the image to be detected to obtain a standard sampling image and a sampling image to be detected; acquiring a rough matching region on the samplingimage to be detected according to the standard sampling image; and acquiring a target region on the image to be detected according to the rough matching region and the standard image. In the embodiment of the invention, the acquired standard image and the image to be detected are sampled to obtain the standard sampling image and the sampling image to be detected, the rough matching region is obtained on the sampling image to be detected according to the standard sampling image, and the target region can be obtained on the image to be detected according to the rough matching region and the standard image. The method has the advantages of less computation amount of the matching process, short time and accurate matching result.
Owner:HANS LASER TECH IND GRP CO LTD +2

A real-time image correction method based on mobile phone platform

ActiveCN106952231BA Real-Time Correction Method for Image DistortionRealize real-time image correctionImage enhancementGeometric image transformationImage correctionStandard test image
The invention discloses a real-time image correction method based on a mobile phone platform, which includes: Step 1, taking a standard test image, and using the standard test image to calculate a correction matrix; Step 2, saving the correction matrix in an online database for real-time downloading; Step 3. Enter the height and arm length of the mobile phone user to obtain the shooting height of the mobile phone. Download all the corresponding correction matrix data in the online database based on the shooting height and store it in the local memory of the mobile phone; Step 4. Perform the real-time shooting of the images on the mobile phone. Coordinate conversion: Based on the angle information collected in real time from the direction sensor, find the corresponding correction matrix in the local memory of the mobile phone, and convert the coordinates of each pixel in the image captured in real time by the mobile phone into The coordinates of each pixel in the corrected image; step 5, continue the grayscale interpolation calculation to obtain the grayscale value of each pixel in the corrected image after coordinate conversion.
Owner:NANJING UNIV

Visual fusion intersection angle measuring method and device and storage medium

The invention provides a visual fusion intersection angle measuring method and device and a storage medium, which can enable the eyes of a user to be in a relaxed state when the user watches a 3D video or carries out visual training through the 3D video, and improve the user experience. The method comprises the following steps of: displaying a standard test 3D image through a display device, wherein the standard test 3D image is a 3D test image formed by fusing a first image and a second image; offsetting at least one of the first image and the second image according to a user operation instruction; if a recording instruction of the user is received, recording a target offset between the first image and the second image according to the recording instruction; determining the pupil distance of the user and the vertical distance between the pupil and the display device; and calculating the visual fusion intersection angle of the user according to the target offset, the pupil distance of the user and the vertical distance.
Owner:深圳小豆视觉科技有限公司

Human medical image organ geometric comparison detection method

The invention relates to a human medical image organ geometric comparison detection method. The method comprises the following steps: non-colinear multiple matched feature points are determined on a to-be-detected anatomic image and a standard image in a module matching mode; based on the feature points, a three-dimensional coordinate system for the standard image and a three-dimensional coordinate system for the to-be-detected anatomic image are built respectively; in the three-dimensional coordinate system, multi-resolution analysis is carried out on the standard image and the to-be-detected anatomic image respectively, and sub images with multiple stages of resolution are obtained; and registration is started from a sub image with the lowest resolution, registration is carried out stage by stage until registration parameters for the image under the highest resolution are obtained. The method of the invention can be used for human medical image organ geometric comparison.
Owner:QINGDAO UNIV

Display correction parameter extraction device, system and method

The invention provides a display correction parameter extraction device. The display correction parameter extraction device comprises a communication interface module used for reading actual measurement data; a standard data generation module used for generating standard working data; a standard test image generation module used for generating a standard test image; an adjusting mode processing module used for selecting a to-be-corrected component to be corrected and sending actual measurement data and standard working data related to the to-be-corrected component to the PID adjusting module;a PID adjustment module used for carrying out PID difference operation on the actual measurement data and the standard working data related to the component to be corrected, and carrying out increment; and the adjustment mode processing module is also used for summing the increment and the to-be-corrected component to obtain a corrected test image and generating a correction parameter lookup table. The PID controller has the advantages of mutually independent control parameters, simple parameter selection and the like, and a mathematical model of a controlled object does not need to be provided, so that the adaptability is high, the operation is simple, and the production benefit is improved.
Owner:深圳市巨烽显示科技有限公司

Display roughness detection method and detection system of display

A method for detecting display roughness of a display, comprising: selecting a plurality of areas on a white standard test image by an optical measuring instrument for optical consistency verification, and if the difference in optical consistency of the plurality of areas is greater than or equal to a threshold value, re-inspecting the Select a plurality of regions on the white standard test image until the optical consistency of the plurality of regions is the same, that is, the difference in optical consistency is less than the threshold; respectively select a test point in a plurality of regions with the same optical consistency; Under the backlight setting situation, with the white standard test image as the display background, detect the brightness value of each of the test points respectively; through the brightness value of each of the test points, calculate the brightness standard deviation σ of a plurality of test points And the average value of brightness μ, the roughness Grain is calculated by the following formula: the present invention can detect the roughness conveniently, effectively and quickly, with low cost and high reliability, and can be used to measure the quality of the display effect of the projection display.
Owner:SHANGHAI VISTEON AUTOMOTIVE ELECTRONICS SYST

Method for discriminating focus quality of image pickup device

A focus-quality judging method includes the following steps. Firstly, a comparing object including a target area is provided. A reference image pickup device is provided to shoot the comparing object to obtain a standard image including a standard target area image. Then, a first pixel number contained in the standard target area image is counted. The comparing object is shot by a test image pickup device to obtain a test image including a test target area image, wherein the test image has the same resolution as the standard image. Then, a second pixel number contained in the test target area image is counted. The first pixel number contained in the standard target area image is compared with the second pixel number contained in the test target area image. According to the comparing results, it is discriminated whether the test image pickup device performs an accurate focusing operation.
Owner:PRIMAX ELECTRONICS LTD
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