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2349 results about "Color space" patented technology

A color space is a specific organization of colors. In combination with physical device profiling, it allows for reproducible representations of color, in both analog and digital representations. A color space may be arbitrary, with particular colors assigned to a set of physical color swatches and corresponding assigned color names or numbers such as with the Pantone collection, or structured mathematically as with the NCS System, Adobe RGB and sRGB. A "color model" is an abstract mathematical model describing the way colors can be represented as tuples of numbers (e.g. triples in RGB or quadruples in CMYK); however, a color model with no associated mapping function to an absolute color space is a more or less arbitrary color system with no connection to any globally understood system of color interpretation. Adding a specific mapping function between a color model and a reference color space establishes within the reference color space a definite "footprint", known as a gamut, and for a given color model this defines a color space. For example, Adobe RGB and sRGB are two different absolute color spaces, both based on the RGB color model. When defining a color space, the usual reference standard is the CIELAB or CIEXYZ color spaces, which were specifically designed to encompass all colors the average human can see.

Pump machine metal shell size detection method based on image analysis

The invention belongs to the technical field of industrial measurement, and discloses a pump machine metal shell size detection method based on image analysis, which comprises the following steps: synchronously acquiring image data of a pump machine metal shell in a visible light wave band and a near-infrared wave band; the contrast ratio of image data is optimized through a dynamic exposure control technology, and a high-dynamic-range multispectral image is obtained; three-dimensional geometric information of the pump machine metal shell is obtained, registration fusion is carried out on the three-dimensional geometric information and the high-dynamic-range multispectral image, a dense three-dimensional point cloud model with multispectral textures is constructed, and a multi-frequency heterodyne algorithm is adopted to process a high-reflection area in the dense three-dimensional point cloud model; the method comprises the following steps: collecting a multi-angle reflection image of a pump machine metal shell by rotating a linear polarizer, calculating a Stokes vector to extract a diffuse reflection component, carrying out diffuse reflection component constraint and brightness suppression on a high-reflection area based on a CIE-Lab color space, and outputting a dense three-dimensional point cloud model after texture enhancement; and the size detection precision of the pump machine metal shell is improved.
Owner:JINING ANTAI MINING EQUIP MFG CO LTD

Method for identifying impurities and bubbles in wine bottle based on multi-feature comprehensive judgment

The invention discloses a method for identifying impurities and bubbles in a wine bottle based on multi-feature comprehensive judgment, and belongs to the technical field of image processing and computer vision, and the method comprises the steps: employing a high-resolution industrial camera to be combined with an LED light source, and continuously shooting multiple frames of images of the wine bottle under the consistent shooting angle and illumination condition; carrying out the preprocessing of the collected image through employing a self-adaptive histogram equalization and Gaussian blur method; extracting the edges of impurities and bubbles in the wine bottle on the image by adopting a Canny edge detection algorithm to obtain an edge image; segmenting the edge image into a plurality of target areas by using a contour detection technology, and extracting possible bubble and impurity areas from the edge image; extracting target area features including circularity, gray average, gray uniformity, texture features and color space; and according to the extracted features, bubbles and impurities are distinguished by applying a comprehensive judgment rule. According to the method, the bubbles and the impurities are comprehensively judged by adopting multi-feature combination, so that the accuracy and the robustness of detection are greatly improved.
Owner:DONGFANG ELECTRIC AUTOMATIC CONTROL ENG CO LTD

High Dynamic Range View Synthesis from Noisy Raw Images

Systems and methods for training a neural radiance field model for noisy scenes can leverage raw noisy images in linear high dynamic range color space to train a neural radiance field model to generate view synthesis of low light and / or high contrast scenes. The trained model can then be utilized to accurately complete view rendering tasks without the preprocessing used for generating low dynamic range images. In some implementations, training on unprocessed data of a low light scene can allow for training a neural radiance field model to generate high quality view renderings of a low light scene.
Owner:GOOGLE LLC

Video stream dynamic fragment encryption and block chain evidence storage method

The invention discloses a video stream dynamic fragmentation encryption and block chain evidence storage method, and relates to the technical field of video content security, and the method comprises the steps: calculating a color histogram difference value and an optical flow vector change rate between adjacent frames of an input video, marking the difference value as a scene switching point when the difference value exceeds a preset threshold value, and storing the scene switching point; the method comprises the following steps: preliminarily dividing a video into a plurality of scene segments according to scene switching points, performing content complexity evaluation on the scene segments, calculating gray level co-occurrence matrix characteristics of each frame of image through texture density analysis, calculating edge complexity to extract the number and distribution of Canny edges, and performing motion vector statistics to analyze the size and direction of inter-frame object displacement. The change rate between adjacent pixels in the color space is measured according to the color change gradient; the video stream dynamic fragment encryption and block chain evidence storage method is suitable for video contents of different types and complexities, and has relatively high detection accuracy and robustness.
Owner:HANGZHOU MEICHANG IOT TECH CO LTD

Multi-scale underwater fish school detection system and detection method based on attention module

The invention provides a multi-scale underwater fish school detection system and detection method based on an attention module, relates to the technical field of underwater detection, and performs multi-scale fusion on sonar signals and image information. The depth of a fish school is determined through a sonar, a sound wave feature vector is generated, an unmanned underwater robot is used for collecting a low-illumination image, edge features are generated in a grey-scale image, color features are generated in an HSV color space, and the edge features and the color features are corrected. Weighted fusion is carried out on the sound wave features, the edge features and the color features through a feature alignment and attention module, and a comprehensive feature vector is generated. And finally, constructing a fish school detection model by using a deep learning network based on the deep feature vector, and realizing real-time detection of fish school categories and quantity. According to the method, multi-scale information and an attention mechanism are utilized, and the accuracy and reliability of fish school detection are improved.
Owner:SHAANXI INST OF ZOOLOGY NORTHWEST INSTOF ENDANGERED ZOOLOGICAL SPECIES

Multi-feature fusion image forgery detection method based on high-resolution network

The invention discloses a multi-feature fusion image forgery detection method based on a high-resolution network. The method comprises the following steps: (1) training a binary classifier by using a real image and a manipulated image, and storing a model; (2) inputting the image into a pre-trained classifier; calculating the gradient of the image; (3) inputting the generated gradient map and the original image into a feature extraction module to extract gradient features and color space information; the features of the two branches are fused through a convolutional network; (4) inputting the original image into a frequency domain feature extraction block, and extracting high-frequency features of the image; (5) further fusing the fused gradient features and color space features into frequency domain features; a high-resolution network is used as a backbone network in a feature extraction and fusion stage; and (6) the fused features are sent to a discriminator, and whether the input image is real or forged is judged. The method has higher recognition accuracy and robustness, and can be well generalized to unseen counterfeiting methods.
Owner:GUIZHOU NORMAL UNIVERSITY

Pathological section virtual staining image generation method based on diffusion model

The invention discloses a pathological section virtual staining image generation method based on a diffusion model, and belongs to the technical field of medical image processing. The method comprises the following steps: firstly, passing through Hamp; e dyeing serves as a source image data set, and pathological section images subjected to IHC dyeing serve as a target image data set; preprocessing the source image, and converting the source image into a corresponding YUV color space; extracting a saliency map and a gradient map of the source image, and generating a weighted attention map; building a diffusion model by using a neural network, and inputting the preprocessed source image for fine tuning; repeatedly iterating until the loss function converges, and ending the training; and inputting a weighted attention map to perform reasoning of virtual dyeing. According to the method, weighted attention of a pathological section image is added in a reasoning part to serve as an image prompt input network, so that the cell structure of a finally generated image is controlled not to be changed, and meanwhile, color features of a target dyed image are reserved and emphasized; and the accuracy and the reconstruction effect of the generated virtual dyeing image are improved.
Owner:THE FIRST AFFILIATED HOSPITAL OF MEDICAL COLLEGE OF XIAN JIAOTONG UNIV

Crop adaptability detection method based on HSV color segmentation algorithm

The invention discloses a crop adaptability detection method based on an HSV color segmentation algorithm. The method comprises the steps that S1, two TOF cameras are used for shooting the same crop area; s2, through fusion of a solid-state laser radar and cameras, synchronously obtaining three-dimensional information and color information of crops, enabling a laser radar point cloud to have RGB color information, carrying out HSV color space conversion on an image captured by each TOF camera, and carrying out color segmentation by using a preset threshold value to obtain a region of interest of a crop region; s3, fusing the color information and the depth information acquired by the two TOF cameras based on a double-shooting depth perception technology; s4, generating an adaptability detection result according to the fused information; according to the crop adaptability detection method based on the HSV color segmentation algorithm, the identifiability of crops in the image is improved, false detection caused by external environment changes is reduced, and effective detection and tracking of crop rows in a complex environment are realized.
Owner:ANHUI AGRICULTURAL UNIVERSITY

Image processing method applied to printed matter surface color difference detection

The invention discloses an image processing method applied to printed matter surface color difference detection, which relates to the technical field of image processing, and comprises the following steps: acquiring a digital image of a printed matter to be detected, performing illumination non-uniformity correction, and converting the corrected digital image into a CIELAB color space; performing region segmentation on the digital image based on double constraint conditions of color gradient and texture boundary to generate a detection region graph; feature parameters are extracted based on the detection area graph, and a feature data set is generated; establishing a dynamic reference model by utilizing process parameters and material characteristics of the printed matter; and calculating the distance between the feature data set and the dynamic reference model, identifying color difference regions and generating color difference scores, and screening and grading the color difference regions according to the color difference scores. According to the method, a multi-layer image pyramid and homomorphic filtering combined illumination correction technology is adopted, and an adaptive weight fusion mechanism based on image features is introduced, so that the illumination nonuniformity is effectively eliminated while the definition of printing details is kept.
Owner:GUANG ZHOU BEIDE PACKAGING & PRINTING CO LTD

Embedded power transmission line insulator string defect identification method, system and device and storage medium

The invention discloses an embedded power transmission line insulator chain defect identification method, system and device and a storage medium, and belongs to the technical field of defect identification, and the method comprises the steps: obtaining an insulator chain image, carrying out the insulator chain region positioning of the insulator chain image through color space change and image processing, and obtaining the coordinates of a target insulator chain; based on the target insulator chain coordinate, feature extraction is carried out on an insulator sheet, and an insulator sheet state vector is constructed; judging the state vector of the insulator sheet to obtain a suspected defective insulator list; calculating the insulator sheets in the suspected defect insulator list and detecting the surfaces of the insulator sheets to obtain the defect types and positions of the surfaces of the insulator sheets; and according to the defect type and position, the associated defect type code and description, generating structured power transmission line insulator defect report data, thereby improving the accuracy of defect identification, the fineness of defect classification and the practicability of a result report.
Owner:GUIZHOU POWER GRID CO LTD

Artificial intelligence assisted make-up and make-up robot collaborative make-up method

The invention discloses an artificial intelligence assisted makeup and makeup robot collaborative makeup method, and belongs to the technical field of artificial intelligence and robots. The method comprises the following steps: collecting user face data through a multi-modal sensor, extracting multi-scale features based on improved DenseNet and HRNet networks, and generating a three-dimensional face model; a high-fidelity virtual makeup effect is generated by using a conditional generative adversarial network in combination with user requirements, and real-time comparison and display are performed through an augmented reality interface; the makeup difference is quantified through multi-dimensional feature point mapping, multi-color space analysis and texture comparison, and correction suggestions are dynamically generated; operation is executed through the seven-degree-of-freedom redundant mechanical arm, a hybrid force control strategy and a visual monitoring system are integrated, and safe and accurate execution is ensured. The method solves the problems of uncontrollable traditional makeup effect, low execution precision and lack of dynamic feedback, has the characteristics of high adaptability, real-time response and zero-damage safety, and can be widely applied to the fields of family beauty, film and television makeup and special crowd nursing.
Owner:CHENGDU SIPING SOFTWARE CO LTD

Image multi-modal feature extraction, ground feature classification and recognition and GIS image generation method

The invention discloses an image multi-modal feature extraction method, a ground feature classification and recognition method and a GIS image generation method. Comprising the following steps: firstly, extracting texture features from a target image by adopting a multi-directional statistical method fusing rotation invariant coding of a local binary pattern and a gray-level co-occurrence matrix, and extracting color features from the target image by adopting an LAB-HSV dual-color space collaborative analysis method to obtain features of different modes of the target image; and then according to the information values of the extracted color features and texture features, adjusting the weight ratio corresponding to the color features and the texture features so as to optimize the recognition precision of the classification model on complex ground features. And finally, according to a weight ratio corresponding to the color feature and the texture feature, performing weighted fusion on the color feature and the texture feature to obtain a corresponding multi-modal feature vector.
Owner:CHONGQING GEOMATICS & REMOTE SENSING CENT

Television box intelligent interaction control unit image processing method and equipment

The invention relates to a television box intelligent interaction control unit image processing method and device. The method comprises the following steps: carrying out feature analysis on an input video stream of the television box to obtain an enhanced video stream; the method comprises the following steps: collecting visual and voice interaction information of a user based on an intelligent interaction control unit, and inputting the visual and voice interaction information into a double-branch Transform model for multi-modal information fusion to obtain a fusion feature vector; performing conjoint analysis to obtain a user interaction intention and an interaction response strategy; performing local contrast enhancement and motion compensation to obtain a high-quality video frame sequence; and performing scene adaptive color space mapping and dynamic color temperature adjustment on the high-quality video frame sequence according to the environment light information acquired in real time and the pre-stored color characteristics of the display device to obtain an output video stream. According to the implementation of the method, limited computing resources can be fully utilized, efficient video processing and natural man-machine interaction are achieved, and meanwhile the display effect is dynamically optimized according to environmental changes.
Owner:SHENZHEN YUEXINTONG TECH CO LTD

Low-illumination image enhancement method based on adaptive brightness enhancement and high-fidelity color correction

PendingCN119477733AAccurate and effective extractiongood hueImage enhancementImage analysisColor correctionImaging data
The invention provides a low-illumination image enhancement method based on adaptive brightness enhancement and high-fidelity color correction. Comprising the following steps: constructing a training data set, and performing data enhancement on paired low-illumination / normal-illumination images to obtain an image data set for training; designing a low-illumination image enhancement network based on adaptive brightness enhancement and high-fidelity color correction; designing a loss function for training the designed network; training the designed network by using the training data set; and inputting a to-be-measured low-illumination image into the trained network to generate a normal-illumination image. According to the method, the adaptive brightness improvement strategy and the color correction under the multi-color space constraint are utilized, the image brightness can be adaptively enhanced, the image color is subjected to high-fidelity correction, and a high-quality image with proper brightness and high-fidelity color is obtained; the problems of uneven brightness, color distortion, detail loss and the like of the low-illumination image are effectively solved.
Owner:FUZHOU UNIV

Multimedia image optimization method and system

The invention discloses a multimedia image optimization method and system, and relates to the technical field of image optimization, and the method comprises the steps: obtaining a to-be-optimized multimedia image, carrying out the HSI color space conversion, extracting a brightness component in an HSI color space, and carrying out the brightness enhancement; the contrast ratio of the enhanced brightness component is adjusted, and brightness area division and dynamic range optimization are carried out; and carrying out edge enhancement on the optimized brightness component, recombining to generate an enhanced HSI image, and converting the enhanced HSI image back to the RGB color space to obtain an optimized multimedia image. According to the method, the brightness, the contrast ratio and the details of the image are comprehensively optimized, the brightness layering sense is improved, the problem that the details of the image in highlight and dark areas are lost is solved, the marginal definition and the color fidelity of the image are improved, the visual quality of the multimedia image can be remarkably improved, and the actual application requirements of multiple scenes are met.
Owner:中央广播电视总台

Underwater low-illumination image enhancement method based on local color correction and multi-scale variational decomposition model

The invention relates to an underwater low-illumination image enhancement method based on local color correction and a multi-scale variation decomposition model, and belongs to the technical field of image processing. The method comprises the following steps: firstly, performing color correction on an input underwater low-illumination image; next, the corrected image is converted from an RGB color space to an HSV color space, a multi-scale variational decomposition model is applied to a V channel in the image, and a base layer, two detail layers and an atomization layer are generated; then, the atomization layer is separated, self-adaptive brightness equalization is carried out on the base layer, an enhanced base layer is obtained, self-adaptive detail sharpening is carried out on the detail layer, and an enhanced detail layer is obtained; and finally, linearly fusing the enhanced base layer and detail layer to obtain an optimized V channel, converting the image back to an RGB color space, and outputting an enhanced underwater image. According to the method, the overall enhancement of the image is realized, the contrast, the brightness and the detail expression are remarkably optimized, and the visual effect of the underwater image is remarkably improved.
Owner:KUNMING UNIV OF SCI & TECH

Low-light image enhancement method based on YUV color space

The invention discloses a low-light image enhancement method based on a YUV color space, and relates to the technical field of image processing. According to the method, a color space illumination enhancement network (CSLNet is established, brightness (Y) and chrominance (U, V) information is separated, and brightness and chrominance channels are respectively subjected to targeted processing, so that the image brightness and details are improved, the problems of color distortion and noise amplification are avoided, the CSLNet makes full use of the advantages of a YUV color space, and the image quality is improved. Wherein the Y channel represents brightness information, the U and V channels represent chrominance information, brightness enhancement and color correction can be more accurately controlled through separation processing and the CSLNet, a color space enhancement module CSE Block (Color Space Enhancement Block) is introduced into the CSLNet, the CSE Block is fused with a U-shaped network structure and a multi-head self-attention mechanism, and optimization processing is specially carried out on chrominance channels U and V of a low-illumination image.
Owner:CHONGQING UNIV OF TECH

Tongue picture image processing system for traditional Chinese medicine health-care physique detection

The invention discloses a tongue picture image processing system for traditional Chinese medicine health-care physique detection. The tongue picture image processing system comprises a tongue picture image acquisition module, a self-adaptive color correction module, an image enhancement module and a database and analysis module, the acquisition module automatically adjusts illumination conditions through an ambient light sensor to ensure the consistency and stability of images; the adaptive color correction module adopts color space conversion and a standard color library to automatically correct color distortion in the collected tongue picture image; the image enhancement module enhances the tongue coating, crack and tooth mark key features of the tongue picture through sharpening and contrast adjustment, the database and analysis module analyzes through a standardized tongue picture data set and big data, the processing precision of the tongue picture image is effectively improved, and a more scientific and accurate auxiliary tool is provided for traditional Chinese medicine constitution detection.
Owner:BEIJING UNIV OF CHINESE MEDICINE

High-resolution machine vision detection method and system for precise chromatic aberration detection and medium

The invention provides a high-resolution machine vision detection method and system for precise chromatic aberration detection and a medium, and the method comprises the steps: carrying out the calibration of a camera based on a camera calibration tool, and synchronously calibrating a light source parameter and a color parameter; setting shooting parameters based on the calibrated camera, obtaining a workpiece image in real time, preprocessing the workpiece image, mapping the preprocessed image to a standard color space from an original RGB space, and extracting color features of the preprocessed image; comparing the color feature with the color feature of the standard sample, calculating a color difference index, and comparing with the color difference index based on a set color difference threshold to obtain a detection result; by calibrating various parameters of the camera, the visual detection precision is ensured, and by performing color space mapping on the workpiece image and analyzing the difference between the color difference index of the color feature and the color difference threshold value, the color abnormal area is accurately analyzed, and the detection precision of the abnormal color is improved.
Owner:HANGZHOU HUICUI INTELLIGENT TECH CO LTD

Color calibration method and system based on display driving chip

The invention relates to a color calibration method and system based on a display driving chip, and the method comprises the following steps: carrying out the sub-pixel spectrum reconstruction of an original spectrum data stream based on a color gamut boundary vector group, and obtaining a sub-pixel spectrum matrix; performing white point chromaticity estimation on the sub-pixel spectrum matrix to obtain white point chromaticity coordinates; performing gamma curve correction on the sub-pixel spectrum matrix based on the white point chromaticity coordinates to obtain a gamma correction coefficient matrix; performing color space conversion on the gamma correction coefficient matrix through a preset three-dimensional lookup table to obtain color control parameters, and inputting the color control parameters into a preset display driving chip to drive sub-pixels of each pixel unit in the display panel to emit light to obtain color calibration display output, the defects of a traditional display driving chip in the aspect of color calibration are overcome, and the defects are mainly embodied in the technical problems that color differences between different display panels cannot be effectively processed and the color drift phenomenon occurs along with time lapse.
Owner:SHENZHEN OSTAR DISPLAY ELECTRONIC CO LTD

Low-illumination image enhancement method based on central difference convolution

The invention relates to a low-illumination image enhancement method based on central difference convolution, and belongs to the field of image processing. The method comprises the following steps: firstly, dividing a brightness component of an image in an HSV color space into a bright region and a dark region through a binary mask, and calculating the average brightness of each region; performing exposure of different degrees on the brightness component of the image according to the average brightness of different areas through an exposure method based on a binary mask; fusing the brightness components with different exposure degrees by the central difference convolutional neural network under the guidance of the fusion loss function; and finally, the amplified noise is suppressed and texture details in the image are enhanced under the guidance of the content loss function through the other central difference convolutional neural network. According to the method, noise can be suppressed, texture details can be enhanced, and the image definition can be improved; moreover, the method has a better enhancement effect on images under a non-uniform illumination condition and an extremely low illumination condition.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Low-illumination image enhancement method

The invention provides a low-illumination image enhancement method, and belongs to the technical field of image processing. The method comprises the following steps: converting an original RGB image into an HSV color space to obtain a chroma channel component, a saturation channel component and a brightness channel component; enhancing the saturation channel component and the brightness channel component to obtain a saturation channel enhanced component and a brightness channel enhanced component; fusing the saturation channel enhancement component, the brightness channel enhancement component and the chroma channel component to obtain a synthesized RGB image; and performing noise reduction processing on the synthesized RGB image to obtain an enhanced RGB image. Through the method provided by the invention, the brightness balance, the detail retention degree and the color naturalness of the output image are remarkably improved; therefore, the problems of overexposure, noise amplification, detail loss and the like which are easily caused by unbalanced brightness distribution under low illumination are solved.
Owner:LIAONING TECHNICAL UNIVERSITY

Method of generating color mapping table, method of correcting color, apparatus for generating color correction model, apparatus for correcting color, computer readable medium, and display device

A method of generating a color mapping table for correcting color of a display panel, including: establishing a sampling point space, according to first color coordinates of a plurality of sampling points in a first color space; and performing steps of a preset processing on each of the plurality of sampling points, to obtain target color coordinates of the sampling point in the first color space, and generating the color mapping table according to the first color coordinates and the target color coordinates of the plurality of sampling points, where the steps of the preset processing on each of the plurality of sampling point include: taking the sampling point as a source sampling point, and determining a target sampling point corresponding to the source sampling point; and processing the target sampling point, to obtain the target color coordinates.
Owner:BOE TECHNOLOGY GROUP CO LTD

AI-based paper marking image intelligent acquisition system and method, and terminal equipment

The invention relates to the technical field of paper marking image acquisition optimization, in particular to an intelligent paper marking image acquisition system and method based on AI and terminal equipment. An original image is acquired through an image acquisition unit, and a color temperature distribution thermodynamic diagram is generated by a light source analysis unit through a convolutional neural network; the dynamic compensation unit divides compensation grids and executes exposure compensation, the self-adaptive correction unit outputs a target image through bilinear interpolation and color space conversion, and the quality evaluation unit compares a positioning mark color gamut value to trigger a grading re-shooting mechanism. The problems of insufficient complex illumination adaptability and poor image quality stability in the prior art are solved, highlight-shadow intelligent compensation, color space adaptive conversion and quality closed-loop control of the answer sheet image are realized through AI-driven multi-unit cooperation, the full-filling point recognition accuracy and the image qualification rate are improved, and the image quality is improved. And the high-efficiency examination paper marking requirement of large-scale examination is met.
Owner:李石

Image digitization method, system and device and storage medium

The invention discloses an image digitization method, system and device and a storage medium, and relates to the field of data processing. The method comprises the following steps: acquiring spectral data, three-dimensional shape data and material reflectivity parameters of a target image; based on the three-dimensional shape data, analyzing surface deformation characteristics of the target image, and generating a geometric distortion distribution diagram; generating geometric correction parameters according to the surface deformation features, and reconstructing pixel positions of the geometric distortion distribution diagram to obtain reconstructed image data; and mapping the spectral data to a preset color space, matching a pre-established color database, and adjusting the color component of the reconstructed image data to obtain corrected image data. By implementing the technical scheme provided by the invention, a set of traditional Chinese painting digitization technical system considering high-precision acquisition, intelligent correction and efficient management can be developed.
Owner:YUEDU (ZHEJIANG) DIGITAL TECH CO LTD

Intelligent wound measuring and recording system and method

The invention relates to the technical field of medical treatment, and particularly discloses an intelligent wound measuring and recording system and method.The method comprises the steps that multi-dimensional image data and three-dimensional depth information of a wound area are synchronously collected, hierarchical space division and nonlinear feature coding are adopted for preprocessing the multi-dimensional image data, and wound basic information is generated; constructing a wound measurement model based on the basic information of the wound, extracting wound features with space-time relevance, and extracting a wound contour of multi-dimensional image data by using an improved U-Net architecture in combination with an HSV color space and morphological gradient method; according to the method, the multi-dimensional image data and the three-dimensional depth information are synchronously acquired, and the advanced image processing technology is combined, so that the accurate extraction of the wound contour is realized, and the problem that wound details cannot be accurately identified and measured in a traditional method is solved; based on an ICP registration algorithm and a three-dimensional point cloud reconstruction technology, submillimeter-level wound volume measurement is realized, and the wound volume evaluation precision is improved.
Owner:THE FIRST PEOPLES HOSPITAL OF NANTONG

Carton printing quality detection method and system based on industrial vision

The invention provides a carton printing quality detection method and system based on industrial vision, and belongs to the field of printing quality detection.The carton printing quality detection method comprises the steps that S1, a carton printing image is obtained, reflective interference suppression is conducted based on color space conversion, printing feature enhancement is conducted, and a to-be-detected image is obtained; s2, performing printing quality detection on the to-be-detected image, and determining defect area distribution characteristics and defect types of carton printing; s3, quality grading is conducted on the carton printing quality based on the defect area distribution characteristics of carton printing, and repairing suggestions are generated; s4, performing correlation analysis on the carton printing quality grade and the repair suggestion and production process data of carton printing, generating a quality tracing record, and storing the quality tracing record in a quality management database; and S5, optimizing the carton printing quality detection method. According to the invention, the printing defects can be quickly identified in a high-speed production line environment, and the whole-process management and optimization of the printing quality problem can be realized.
Owner:YICHANG CHANGSHENG PACKAGING CO LTD

Remote sensing image segmentation method and system, storage medium and equipment

The invention relates to the technical field of image recognition, in particular to a remote sensing image segmentation method and system, a storage medium and equipment. Taking the preprocessed remote sensing image as a real sample, and obtaining a generated sample by using a conditional diffusion model; respectively converting the real sample and the generated sample into a set color space, calculating the color value of each channel pixel by pixel, determining the color distribution of the real sample, aligning the color distribution of the generated sample with the color distribution of the real sample through linear transformation, and obtaining the generated sample after color correction; and performing similarity screening on the generated samples after color correction, mixing the generated samples with real samples according to a set proportion, taking a formed mixed sample set as a training set of a semantic segmentation model, and performing training to realize remote sensing image segmentation. By combining the conditional diffusion model and color correction, the spectrum consistency of the generated samples is improved, the quality of the generated samples is optimized, and by means of mixed sample training, the requirement for manual annotation is reduced, and the precision of remote sensing image interpretation is improved.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA) +1

Remote photoplethysmography method and system based on long and short term space-time convolution network

The invention discloses a remote photoplethysmography (rPPG) signal processing method and system based on a long and short term space-time convolution network, and belongs to the crossing field of biomedical signal processing and computer vision. In order to solve the problem of signal distortion caused by illumination fluctuation, motion artifacts and skin color differences, the method constructs a multi-scale space-time modeling framework: extracting local space-time features of transient changes of facial capillaries by adopting a 3D convolutional network, capturing long-range periodic features of heart rate rhythm in combination with a 1D expansion convolutional network, and establishing a multi-scale space-time modeling framework; the spatial-temporal characteristics are dynamically fused through the self-attention weight and the gating residual structure, and the anti-interference capability is improved. In the preprocessing stage, a face area is positioned through MTCNN, motion artifacts are compensated by using an optical flow equation, and signal purity is enhanced by combining a skin color mask and a YUV color space. The system adopts a deep separable convolution and parallel acceleration strategy to realize light weight, and optimizes the network through time domain MSE loss and frequency domain KL divergence. Experiments show that the phase error of the method is reduced by 40% in a dynamic scene, the signal amplitude of a deep skin color group is improved by 60%, the method is suitable for non-contact health monitoring equipment, and the robustness and the measurement precision of the rPPG technology in a complex environment are remarkably improved.
Owner:BEIJING XINKE DATONG TECHNOLOGY CO LTD

Multi-sensor data fusion method, device, equipment and medium

The invention relates to a multi-sensor data fusion method and device, equipment and a medium, and the method comprises the steps: obtaining data and GPS information of a plurality of sensors such as a binocular camera and a radar, taking the data and GPS information as input data, and carrying out the preprocessing, including one or more of image color space conversion, filtering and denoising, and data density reduction; further processing the preprocessed data, wherein the processing comprises one or more of target detection and tracking, coordinate system conversion, target UID distribution and aerial view angle projection; a precision time protocol (PTP) is adopted to synchronize processed data of a plurality of sensors, and the time is kept consistent; a central point of a road intersection is selected, GPS information is recorded, a fusion coordinate system is established, sensor and target position information is calculated according to the GPS information of a sensor, the information is mapped to the fusion coordinate system, and target, association speed, distance and other information and UID are screened and merged according to an overlap ratio threshold. According to the invention, modeling display of the whole intersection is realized, and a reliable basis is provided for traffic management decisions.
Owner:SHENZHEN URBAN TRANSPORT PLANNING CENT CO LTD