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35 results about "Texture filtering" patented technology
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In computer graphics, texture filtering or texture smoothing is the method used to determine the texture color for a texture mapped pixel, using the colors of nearby texels (pixels of the texture). There are two main categories of texture filtering, magnification filtering and minification filtering. Depending on the situation texture filtering is either a type of reconstruction filter where sparse data is interpolated to fill gaps (magnification), or a type of anti-aliasing (AA), where texture samples exist at a higher frequency than required for the sample frequency needed for texture fill (minification). Put simply, filtering describes how a texture is applied at many different shapes, size, angles and scales. Depending on the chosen filter algorithm the result will show varying degrees of blurriness, detail, spatial aliasing, temporal aliasing and blocking. Depending on the circumstances filtering can be performed in software (such as a software rendering package) or in hardware for real time or GPU accelerated rendering or in a mixture of both. For most common interactive graphical applications modern texture filtering is performed by dedicated hardware which optimizes memory access through memory cacheing and pre-fetch and implements a selection of algorithms available to the user and developer.
Adhesive tape pasting position positioning method, control device and equipment
The embodiment of the invention provides an adhesive tape pasting position positioning method, a control device and equipment, and the method comprises the steps: S1, collecting a to-be-pasted region picture, and making a data set; s2, using the data set to train and improve a NanoDet model, and obtaining a detection model, the improvement measures including texture filter and feature enhancement; s3, detecting an input to-be-pasted area by using the detection model, and obtaining position information of the to-be-pasted area; and S4, adhesive tape pasting is carried out according to the position information. The method can adapt to different working scenes, the positioning accuracy of the adhesive tape pasting position is improved, and the product quality is improved.
Owner:HELITE (KUNSHAN) PACKAGING MATERIALS CO LTD
Method for visualizing multi-radar detection range in space based on grid shader
The invention discloses a space multi-radar detection range visualization method based on a grid shader, and the method comprises the steps: calculating a probability detection range according to given radar parameters; according to a camera distance, a continuous change LOD is adaptively selected, and a multi-radar detection range in a point cloud form is drawn by using methods of edge detail enhancement, repeated texture filtering, adjacent voxel calculation and the like based on a GPU grid shader. Compared with a traditional drawing method, the method has the advantages that the detection probability distribution in the radar detection range can be expressed more accurately, and the detection range and the staggered range of each radar can still be expressed accurately when the detection ranges of multiple radars are overlapped. According to the GPU-based grid shader, the CPU operation load is liberated, the radar drawing efficiency is remarkably improved, the flexibility is higher, and the expandability is higher.
Owner:ZHEJIANG UNIV
Skin microstructure texture filtering for runtime facial animations
A method of skin microstructure texture filtering for facial animation includes obtaining a plurality of one-dimensional (1D) filtered tiles corresponding to a plurality of filter axis angles and a plurality of filter parameters applied to a neutral tile, and at runtime, for each pixel representing a region of human skin, determining a principal direction of deformation, a principal filter parameter corresponding to the principal direction of deformation, and a secondary filter parameter corresponding to a secondary direction of deformation orthogonal to the principal direction of deformation, and selecting a first 1D filtered tile among the plurality of 1D filtered tiles, the first 1D filter tile corresponding to the secondary direction of deformation and the secondary filter parameter, and generating a respective two-dimensional (2D) filtered tile by convolving the first 1D filtered tile with a second 1D filter kernel corresponding to the principal direction of deformation and the principal filter parameter.
Owner:ELECTRONIC ARTS INC
A method and system for enhancing image quality
The present invention discloses a method and system for enhancing image quality, relating to the technical field of image processing. The method includes: extracting the luminance component of each frame from a video stream, calculating the resultant image after directional filtering of the luminance component through boundary filtering; calculating the image after non-directional filtering of the luminance component; calculating the overall gradient range of the image, and integrating the resultant image after directional filtering and the image after non-directional texture filtering through the overall gradient range. The method and system disclosed by the present invention enable the retention of image boundaries and the thorough removal of noise.
Owner:ZHEJIANG XINMAI SILICON CO LTD
A method and device for detecting sizing reed collision based on image processing
The present invention discloses a method and device for detecting sizing yarn hitting the reed based on image processing, which belongs to the field of sizing yarn, and includes: pre-processing the sizing yarn hitting the reed image to be tested by main direction texture filtering, setting irrelevant pixels to zero, and obtaining the region of interest; extracting the deep feature map by multi-scale fusion of the reed coil features by feature extraction neural network, and obtaining the reed coil structure enhanced feature map by the reed coil structure information attention mechanism; inputting it into the detection frame generation neural network to generate an elliptical detection frame, and obtaining the detection result according to the elliptical detection frame. The main direction texture filtering is used to effectively remove the background noise of the sizing yarn hitting the reed image to be tested, and the feature extraction neural network and the reed coil structure information attention mechanism are combined to extract features, and then an elliptical detection frame is generated to perform sizing yarn hitting the reed detection, which effectively avoids noise interference, improves the detection accuracy of sizing yarn hitting the reed, and can stably perform detection in complex environments, with strong robustness.
Owner:JIANGNAN UNIV
Techniques for stochastic texture filtering through single instruction multiple threads and single instruction multiple data lane communication
The disclosed method for rendering graphic images includes, for each lane contained in a plurality of lanes in a wave, sampling a texel based on a filter to generate a texel sample; for each lane contained in the plurality of lanes, computing a filtered value based on a plurality of the texel samples read from a corresponding plurality of lanes, based on a footprint associated with the lane; and rendering at least one section of a graphic image based on the filtered values computed for the plurality of lanes.
Owner:NVIDIA CORP
Anisotropic Texture Filtering Using Weights of an Anisotropic Filter that Minimize a Cost Function
PendingUS20250363714A1Image analysisComplex mathematical operationsComputational physicsTexture filtering
A method of performing anisotropic texture filtering involves performing isotropic filtering at each sampling point of a set of sampling points in an ellipse to produce isotropic filter results. Weights of an anisotropic filter are selected that minimize a cost function that penalises high frequencies in the filter response of the anisotropic filter under a constraint that the variance of the anisotropic filter is related to an anisotropic ratio squared, the anisotropic ratio being the ratio of a major radius of the ellipse to be sampled and a minor radius of the ellipse to be sampled. The plurality of isotropic filter results are combined using the selected weights of the anisotropic filter to generate at least a portion of a filter result.
Owner:IMAGINATION TECH LTD
Anisotropic Texture Filtering by Combining Results of Isotropic Filtering at a Plurality of Sampling Points with a Gaussian Filter
A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points along a major axis of the elliptical footprint, wherein a spacing between adjacent sampling points of the plurality of sampling points is proportional to √{square root over (1−η−2)} units, wherein η is a ratio of a major radius of an ellipse to be sampled and a minor radius of the ellipse to be sampled, wherein the ellipse to be sampled is based on the elliptical footprint; and combining results of the isotropic filtering at the plurality of sampling points with a Gaussian filter to generate at least a portion of a filter result.
Owner:IMAGINATION TECH LTD
Texture filtering of texture represented by multilevel mipmap
Texture filtering is applied to a texture represented with a mipmap comprising a plurality of levels, wherein each level of the mipmap comprises an image representing the texture at a respective level of detail. A texture filtering unit has minimum and maximum limits on an amount by which it can alter the level of detail when it filters texels from an image of a single level of the mipmap. The range of level of detail between the minimum and maximum limits defines an intrinsic region of the texture filtering unit. If it is determined that a received input level of detail is in an intrinsic region of the texture filtering unit, texels are read from a single mipmap level of the mipmap, and the read texels from the single mipmap level are filtered to determine a filtered texture value representing part of the texture at the input level of detail. If it is determined that the received input level of detail is in an extrinsic region of the texture filtering unit: texels are read from two mipmap levels of the mipmap, and the read texels from the two mipmap levels are processed to determine a filtered texture value representing part of the texture at the input level of detail.
Owner:IMAGINATION TECH LTD
Anisotropic texture filtering by combining isotropic filtering results at each of a plurality of sampling points
A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points in an ellipse to be sampled, the ellipse to be sampled based on the elliptical footprint; and combining results of the isotropic filtering at each of the plurality of sampling points to generate a combination result by a sequence of linear interpolations, wherein each linear interpolation in the sequence of linear interpolations comprises blending a result of a previous linear interpolation in the sequence with the isotropic filtering results for one or more of the plurality of sampling points, the one or more of the plurality of sampling points for a linear interpolation being closer to a midpoint of the major axis of the elliptical footprint than the one or more of the plurality of sampling points for the previous linear interpolation in the sequence.
Owner:IMAGINATION TECH LTD
Charging pile oil vehicle occupation prevention intelligent monitoring management system based on Internet of Things video monitoring
PendingCN121963107ASolving the problem of broken driving tracksavoid idlingCharacter and pattern recognitionClosed circuit television systemsVideo monitoringBodies oil
The invention belongs to the technical field of internet-of-things video monitoring, and provides an intelligent monitoring management system for preventing oil vehicle occupation of a charging pile based on internet-of-things video monitoring, and the system comprises an intelligent monitoring management module which is used for solving the problems of trajectory tracking interruption and occupation prevention failure caused by similar characteristics of a snowfield and a white vehicle body oil vehicle in snowy weather. The method comprises the following steps: acquiring a video through a camera, judging track breakage, analyzing snowfield and vehicle body feature interference, improving the discrimination degree by means of brightness adjustment, LBP texture filtering, shadow and edge enhancement and the like, reconstructing a vehicle body contour by fusing multiple features, and recovering a breakage track through datum point positioning, motion parameter calculation and inertia completion. And finally, inputting an AI model to predict a driving intention and linking a parking lock. The anti-occupation technical bottleneck in special weather is effectively solved, the accuracy and stability of monitoring control are improved, and efficient utilization of the charging pile is guaranteed.
Owner:HANGZHOU FANXI TECHNOLOGY CO LTD
A high-performance modular differentiable rendering method, apparatus, device, and storage medium based on DCU
This invention relates to the field of computer graphics technology, specifically to a high-performance modular differentiable rendering method, apparatus, device, and storage medium based on a Digital Core Utility (DCU). The method includes: initializing a modular rendering pipeline; placing rendering data in DCU memory in tensor form; performing geometric transformations on vertex coordinates and outputting homogeneous coordinates, with delayed perspective division; generating pixel-level geometric information through a multi-layered pipeline of triangle setup, layered binning, coarse rasterization, and fine rasterization; and performing rendering and gradient backpropagation through a pluggable, differentiable modular rendering pipeline composed of rasterization, attribute interpolation, texture filtering, anti-aliasing, and shading modules. This invention deeply optimizes the domestic DCU architecture, solving the problems of difficult porting, poor non-modular scalability, and coarse gradient approximation in existing technologies. It achieves high-performance, high-precision differentiable rendering on domestic hardware, significantly improving rendering speed, system flexibility, and 3D reconstruction convergence.
Owner:CHONGQING BITMAP INFORMATION TECH CO LTD
Insulation defect identification method, system and equipment of power equipment and medium
PendingCN121959165AAutomate the processRealize multi-dimensional feature extractionTesting dielectric strengthAlgorithmFrequency filtering
The invention provides an insulation defect identification method, system and device for power equipment and a medium, and the method comprises the steps: obtaining a partial discharge signal, and extracting a multi-resolution time-frequency feature of the partial discharge signal through a preset window width through Gabor transformation; inputting the multi-resolution time-frequency characteristics into a pre-trained insulation defect identification model, and obtaining an identification result of the insulation defect type of the power equipment based on the output of the insulation defect identification model; wherein the insulation defect identification model is configured with a frequency filter, a time filter and a texture filter, the frequency filter, the time filter and the texture filter respectively adopt convolution kernels of different sizes, and the frequency filter, the time filter and the texture filter are respectively used for processing time-frequency characteristics of different resolutions. According to the invention, the accuracy of insulation defect type identification can be improved.
Owner:GUANGDONG YANGJIANG CHUANGYUAN OFFSHORE WIND POWER COMPREHENSIVE INVESTMENT CO LTD +3
A global sparse texture filtering method based on edge structure preservation
The application provides a global sparse texture filtering method based on edge structure preservation, including introducing a texture inhibition function in a penalty term, and constraining the gradient of an output image, the texture inhibition function inhibits texture, noise and unnecessary detail information in the image by setting two threshold values, then using the inhibited gradient as the input of the denominator of the penalty term, so that the penalty term can sufficiently distinguish texture and structure; sparse regular L1 norm is used to constrain the penalty term, non-convex optimization is converted into a convex optimization problem by introducing a sub-gradient, and an alternating direction multiplier method is used for iterative solution, so that better edge preservation is achieved; sparse L p Norm is used to constrain the penalty term and a preconditioned conjugate gradient method is used to accelerate and improve the calculation efficiency, so that more robust and sparse image smoothing effect is achieved. The application can improve the robustness of the algorithm in distinguishing texture and structure, retain better semantic information, and achieve better edge structure preservation and smoothing performance.
Owner:CHONGQING UNIV OF TECH
Techniques for stochastic texture filtering through single instruction multiple threads and single instruction multiple data lane communication
PendingDE102025130602A1Processor architectures/configuration3D-image renderingComputer graphics (images)Algorithm
The disclosed method for rendering graphic images includes, for each lane contained in a plurality of lanes in a wave, sampling a texel based on a filter to generate a texel sample; for each lane contained in the plurality of lanes, computing a filtered value based on a plurality of the texel samples read from a corresponding plurality of lanes, based on a footprint associated with the lane; and rendering at least one section of a graphic image based on the filtered values computed for the plurality of lanes.
Owner:NVIDIA CORP
Techniques for stochastic texture filtering through single-instruction, multiple threads and single instruction, multiple data lane communication
The disclosed method for rendering graphics images includes, for each lane included in a plurality of lanes in a wave, sampling a texel based on a filter to generate a texel sample; for each lane included in the plurality of lanes, computing a filtered value based on a plurality of the texel samples that are read from a corresponding plurality of lanes based on a footprint associated with the lane; and rendering at least one portion of a graphics image based on the filtered values computed for the plurality of lanes.
Owner:NVIDIA CORP
Texture filtering test method and device, equipment and medium
The invention provides a texture filtering testing method and device, equipment and a medium, and belongs to the technical field of testing. The texture filtering test method comprises the following steps: determining a combined filtering mode according to a plurality of single filtering modes supported by a to-be-tested unit; determining combined counting information corresponding to the combined filtering mode according to target texel attribute information corresponding to the to-be-detected texture data and single counting information of each single filtering mode corresponding to the combined filtering mode; according to the combined filtering mode, the combined counting information and the to-be-detected texture data, obtaining input data of the to-be-detected unit; the to-be-tested unit is tested based on the input data, a test result of the to-be-tested unit is obtained, and the test result is used for representing whether the to-be-tested unit passes the texture filtering test or not. According to the embodiment of the invention, the number of test cases can be reduced, and the test efficiency is improved.
Owner:MOORE THREADS TECHNOLOGY (CHENGDU) CO LTD
Image fusion method and device, image processing apparatus and storage medium
The application discloses an image fusion method and device, an image processing device and a storage medium. The image fusion method comprises the following steps: decomposing a source image into a base layer and a detail layer through a bilateral texture filter, wherein the source image comprises an infrared image and a visible light image; fusing the base layer of the source image based on a saliency detection algorithm to obtain a first fused image; fusing the detail layer of the source image based on visual fidelity to obtain a second fused image; and fusing the first fused image and the second fused image to obtain a fused image of the source image. The above technical scheme fuses the base layer of the source image through the saliency detection algorithm, fuses the detail layer through the visual fidelity, retains the contrast information and texture of the source image, avoids the generation of a pseudo-edge phenomenon, and improves the definition of the fusion of the infrared image and the visible light image.
Owner:CHINA FAW CO LTD
System and method for adjusting filtering for texture streaming
A technique for texture filtering. A transition is made from a first mipmap corresponding to a first texture resolution to a second mipmap corresponding to a second texture resolution. The first texture resolution is lower than the second texture resolution. As compared to standard trilinear filtering, initiation of the transition is delayed by an offset (or bias), which serves to delay the initial use of the second mipmap until it has been loaded. Following initiation of the transition, first and second weightings are selected with a nonlinear filter, and the system interpolates between the first mipmap and the second mipmap by applying the weightings. During an initial portion of the transition, the nonlinear filter has a slope that is higher than that of the standard trilinear filter.
Owner:ADVANCED MICRO DEVICES INC +1
Method, System, Electronic Device, and Storage Medium for Repeated Texture Filtering
The present application relates to a method, a system, an electronic device and a storage medium for repeated texture filtering. The method includes: obtaining an image matching map of a video sequence, performing FH verification on the matching map to obtain an image containing repeated textures, and performing co-visibility verification on the image containing repeated textures, where the repeated textures include continuous repeated textures and single-plane textures; then, performing hierarchical clustering and convex polygon fitting on the repeated texture image after co-visibility verification to obtain a convex polygon seed image containing repeated texture features; finally, performing depth progressive transmission on the convex polygon seed image containing repeated texture features, and filtering the feature matching pairs falling within the convex polygon in the image to obtain a filtered image matching map. Through the present application, mis-matched images of repeated textures are filtered, and the accuracy of map building is improved.
Owner:HANGZHOU YIXIAN XIANJIN TECH CO LTD
Texture sampler, and method for realizing texture feedback
PCT designated stage expiredWO2025146097A1Image analysisProcessor architectures/configurationPattern recognitionComputer graphics (images)
Disclosed are a texture sampler, and a method for realizing texture feedback. The texture sampler comprises a texture address processing module and a texture filtering module. The texture address processing module samples at least one group of texels that are associated with pixels and located at one level of texture, wherein each group of texels comprise at least one texel. The texture address processing module transfers level information and coordinate information of the at least one group of texels to the texture filtering module. The texture filtering module compiles statistics on a region of a statistics block size in a texture space during each instance of compiling statistics, and the texture filtering module acquires a starting point of one of the at least one group of texels during each instance of compiling statistics, such that a statistics block has the same starting point as the corresponding group of texels, and the group of texels are included in the statistics block size. The texture filtering module compiles statistics at least once, and after each instance of compiling statistics, the texture filtering module returns the aligned block where the starting point of the statistics block is located, and returns a positional offset of the starting point of the statistics block relative to a starting point of the aligned block in which the starting point of the statistics block is located. Aligned blocks are densely arranged and aligned in a manner of fully covering the texture space.
Owner:MOORE THREADS TECH CO LTD
Texture filtering method based on tangential flow field and multi-direction one-dimensional side window frame
The invention discloses a texture filtering method based on a tangential flow field and a multi-direction one-dimensional side window frame. According to the method, a tangential flow field and a multi-direction one-dimensional side window frame are constructed, firstly, local structure information of each image point in the tangential direction and the normal direction is obtained by calculating local gradient information and structure tensor of an image, then, one-dimensional side window types in different directions are defined in the tangential direction and the normal direction, and one-dimensional side window filtering is carried out respectively, so that one-dimensional side window filtering is carried out; and the holding capacity of the fine structure is improved. According to the method, experiments are carried out with other methods based on Gaussian filtering, bilateral filtering and BM3D filtering method examples, evaluation is carried out on a BSD500 data set by using PSNR and SSIM evaluation indexes, results show that the method provided by the invention is superior to the existing filtering method, the stability of the structure can be kept while the texture is filtered, and the method is suitable for large-scale popularization and application. And the phenomenon that the edge contour is fuzzy is avoided.
Owner:HARBIN UNIV OF SCI & TECH
Techniques for stochastic texture filtering through single-instruction, multiple threads and single instruction, multiple data lane communication
The disclosed method for rendering graphics images includes, for each lane included in a plurality of lanes in a wave, sampling a texel based on a filter to generate a texel sample; for each lane included in the plurality of lanes, computing a filtered value based on a plurality of the texel samples that are read from a corresponding plurality of lanes based on a footprint associated with the lane; and rendering at least one portion of a graphics image based on the filtered values computed for the plurality of lanes.
Owner:NVIDIA CORP
Anisotropic texture filtering using weights of an anisotropic filter that minimize a cost function
A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each sampling point of a set of sampling points in an ellipse to be sampled to produce a plurality of isotropic filter results, the ellipse to be sampled based on the elliptical footprint; selecting, based on one or more parameters of the set of sampling points and one or more parameters of the ellipse to be sampled, weights of an anisotropic filter that minimize a cost function that penalises high frequencies in the filter response of the anisotropic filter under a constraint that the variance of the anisotropic filter is related to an anisotropic ratio squared, the anisotropic ratio being the ratio of a major radius of the ellipse to be sampled and a minor axis of the ellipse to be sampled; and combining the plurality of isotropic filter results using the selected weights of the anisotropic filter to generate at least a portion of a filter result.
Owner:IMAGINATION TECH LTD
A method for multi-radar detection range visualization in space based on grid shader
The application discloses a multi-radar detection range visualization method in space based on a grid shader, which comprises the following steps: calculating the probability detection range according to given radar parameters; adaptively selecting a continuously changing LOD according to the camera distance; using edge detail enhancement, repeated texture filtering, adjacent voxel calculation and other methods based on a GPU grid shader to draw the multi-radar detection range in the form of a point cloud. Compared with a traditional drawing method, the application can more accurately express the detection probability distribution in the radar detection range, and can still accurately express the detection range and the staggered range of each radar when the multi-radar detection ranges overlap. Moreover, the application is based on the GPU grid shader, which releases the CPU operation load, significantly improves the drawing efficiency of the radar, is higher in flexibility and stronger in scalability.
Owner:ZHEJIANG UNIV
A method, device, system and storage medium for measuring flow using spatiotemporal images
The present invention discloses a method, device, system and storage medium for measuring flow using spatiotemporal images, which belongs to the technical field of computer vision hydrological applications. The method comprises: converting each frame of an image in a video of a river to be measured into a sequence grayscale image; determining a speed measurement line, and generating a spatiotemporal image according to the sequence grayscale image and the speed measurement line; preprocessing the spatiotemporal image to obtain a texture filter enhanced image; constructing a spectrum diagram according to the texture filter enhanced image, and obtaining the main spectrum direction; obtaining the main texture direction of the texture filter enhanced image according to the main spectrum direction, and calculating and obtaining the river surface flow velocity corresponding to the video of the river to be measured according to the main texture direction. The method can accurately measure the river surface flow velocity corresponding to the video of the river to be measured.
Owner:KUNMING UNIV OF SCI & TECH
Anisotropic texture filtering by combining results of isotropic filtering at a plurality of sampling points with a gaussian filter
A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points along a major axis of the elliptical footprint, wherein a spacing between adjacent sampling points of the plurality of sampling points is proportional to √{square root over (1−η−2)} units, wherein η is a ratio of a major radius of an ellipse to be sampled and a minor radius of the ellipse to be sampled, wherein the ellipse to be sampled is based on the elliptical footprint; and combining results of the isotropic filtering at the plurality of sampling points with a Gaussian filter to generate at least a portion of a filter result.
Owner:IMAGINATION TECH LTD
Input / Output Filter Unit for Graphics Processing Unit
Input / output filter units for use in a graphics processing unit include a first buffer configured to store data received from, and output to, a first component of the graphics processing unit; a second buffer configured to store data received from, and output to, a second component of the graphics processing unit; a weight buffer configured to store filter weights; a filter bank configurable to perform a plurality of types of filtering on a set of input data, the plurality of types of filtering comprising texture filtering types and pixel filtering types; and control logic configured to cause the filter bank to: (i) perform one of the plurality of types of filtering on a set of data stored in one of the first and second buffers using a set of weights stored, and (ii) store the results of the filtering in one of the first and second buffers.
Owner:IMAGINATION TECH LTD
A crystal flower detection method, device, electronic device and storage medium
The present invention provides a crystal flower detection method, device, electronic device and storage medium. The method includes: obtaining multiple crystal flower images to be tested and detection light source-camera optical axis angle information of a coated metal plate to be tested, performing a first image reconstruction based on the detection light source-camera optical axis angle information and the multiple crystal flower images to be tested to obtain a reflectivity information image to be tested, performing detection convolution on the reflectivity information image to be tested with multiple preset two-dimensional texture filters to obtain multiple target feature texture vector images, inputting all the target feature texture vector images into a crystal flower classification model to perform crystal flower size classification to obtain a target crystal flower size category, calculating energy feature quantities of multiple grayscale co-occurrence matrices of the reflectivity information image to be tested based on multiple preset scanning directions, obtaining a feature energy mean value based on all the energy feature quantities to determine the uniformity of crystal flower texture distribution; and improving the accuracy and intelligent efficiency of crystal flower detection by the target crystal flower size category and the uniformity of crystal flower texture distribution.
Owner:CISDI RES & DEV CO LTD