Image labeling grayscale compensation method, system, electronic device and medium
By employing gridded downsampling and spatial interpolation upsampling techniques, the integrity of image markings and grayscale uniformity are balanced during grayscale compensation, thus solving the problem of lost marking information in existing technologies.
CN122597244APending Publication Date: 2026-08-18ZHUHAI BOJAY ELECTRONICS
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Patent Information
- Application Number
- CN202611077318.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-20
- Publication Date
- 2026-08-18
AI Technical Summary
Technical Problem
Existing image enhancement methods cannot balance grayscale uniformity and image label integrity during grayscale compensation, resulting in weakened or lost label information.
Method used
The image marking region is divided into multiple grids by gridded downsampling, the gray mean of each grid is calculated, a difference image is generated and spatial interpolation upsampling is performed, and the compensation image is superimposed pixel by pixel to achieve gray level compensation.
Benefits of technology
While eliminating local gray-level drift, the recognizability and gray-level step features of the image markers are fully preserved, solving the problem of weakened or lost marker information.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a kind of image mark gray compensation method, system, electronic equipment and medium, the method relates to computer vision detection field, the method specifically includes: obtaining the image mark containing image to be compensated image;Based on the grid side length of pre-set, the preset region containing image mark in to-be-compensated image is carried out grid down sampling processing, and down sampling image is obtained;Wherein, grid side length is less than the smaller value in width, height of image mark in image plane;The gray difference value of the gray value of each down sampling pixel and pre-set target gray value is obtained, and all gray difference values are mapped and arranged according to the spatial coordinates of corresponding down sampling pixel, and difference value image is generated;Difference value image is carried out spatial interpolation up sampling processing, and compensation amount image is obtained;Based on compensation amount image, pre-set region is compensated in gray scale.The method provided by the application image mark still has discernibility after being compensated in gray scale.
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