7 results about "Active contour model" patented technology

The application discloses a monitoring method and system for three-dimensional phenotype parameters of stoma cells of living plants, and comprises the following steps: S1, a plant confocal three-dimensional microscopic imaging and photosynthetic parameter measuring device is used, a self-made photosynthetic leaf chamber is used to realize cooperative monitoring of a down-positioned confocal microscope and a portable photosynthetic instrument, morphological changes of the same stoma under different environments are monitored, and three-dimensional Z-stack images and physiological parameters of a stoma complex of the living plants are synchronously obtained; and S2, a fluorescence image is automatically segmented and three-dimensional surface reconstruction is performed by using a granularity-based active contour model, so that three-dimensional phenotype parameters and pore characteristics of the stoma complex are obtained.

The application belongs to the technical field of image processing, and particularly relates to a cable interlayer structure detection method and system based on image processing, which comprises the following steps: calculating a boundary credibility score of a pixel point based on multi-dimensional features of a cable image to accurately identify a boundary; generating an internal constraint factor in combination with a shape and quality of the boundary; further dynamically adjusting parameters of an active contour model according to the internal constraint factor to accurately extract a closed contour line; and finally evaluating thickness uniformity of an insulating layer based on the contour line. The application solves the problem of limitations of a fixed parameter model in processing a fuzzy or broken boundary by dynamically adjusting model parameters, and improves the accuracy and robustness of cable interlayer structure detection.

The present application relates to the technical fields of machine vision and industrial automation detection, in particular to a kind of edible oil filling liquid level defect detection method based on machine vision;Contain image acquisition, entropy graph construction, contour evolution and state classification steps;Method is by obtaining container image, calculates texture entropy and transmissivity to construct refraction scattering entropy graph;Its core is to establish the active contour model with virtual mechanics properties, utilize entropy graph gradient to guide evolution curve to converge and lock gas-liquid interface;According to the defect classification of steady-state contour geometric information;The present application converts gray scale segmentation into optical potential field analysis, effectively distinguishes foam interference and real liquid level, significantly improves the detection precision under complex optical environment.

This application discloses an image segmentation method, apparatus, device, and readable storage medium, belonging to the field of image processing. The method includes: acquiring an initial segmentation image and an original image to be segmented, including a target object; inputting the initial segmentation image and the original image into an active contour model for image segmentation to obtain a target segmented image. The active contour model uses a target energy functional that includes a fidelity term with constant weight coefficients, a length term with first adaptive weight coefficients, and a smoothing term with second adaptive weight coefficients, wherein the first and second adaptive weight coefficients are determined using the original image. Thus, when performing image segmentation on the image to be segmented using the active contour model, the weight coefficients of the length and smoothing terms of the target energy functional of the active contour model can be adjusted accordingly based on different images to be segmented, thereby improving the robustness of the active contour model and the image segmentation accuracy.

The application discloses a kind of vector-guided grid figure area identification and area calculation method, device and medium.Method includes: obtaining and analyzing mixed drawing containing vector and raster data, establish coordinate mapping relationship;Analysis of vector data, identify closed area and extract boundary coordinate sequence;Based on the sequence, through optimization sampling to generate initial active contour, and combined with pixel-level expansion to form spatial constraint region, jointly constitute area guide information;Guidance information is input into active contour model, with initial contour as iteration starting point, constraint region as search range, under double guidance, execute optimization, output optimized boundary that fits the actual edge of raster;Based on confidence evaluation, fuse vector boundary and optimized boundary, determine the final target area;Automatic extraction scale information, convert pixel area into actual physical area.The application actively guides raster recognition through vector data, effectively improves the precision and efficiency of mixed drawing processing, realizes end-to-end automation.