A mark point coordinate detection method based on image sequences and related devices

By acquiring multiple frames of images and analyzing grayscale features of a new type of display screen, a multi-dimensional confidence model was constructed, which solved the problems of noise interference and optical consistency dependence in Mark point detection, and achieved high-precision and stable Mark point positioning.

CN122156310BActive Publication Date: 2026-07-21SHENZHEN SEICHITECH TECHN CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN SEICHITECH TECHN CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies for Mark point detection and positioning in new displays are easily affected by light fluctuations, noise, scratches, stains, or glass reflections, leading to unstable detection results. Furthermore, template matching methods rely on optical consistency, which cannot effectively eliminate abnormal points and reduces positioning accuracy.

Method used

By acquiring multiple frames of images of the display screen under test, generating image sequences, extracting candidate coordinate points and performing grayscale feature analysis, calculating positional deviation and grayscale consistency parameters, constructing a multi-dimensional confidence index model, and selecting the most reliable Mark point coordinates.

Benefits of technology

It improves the accuracy and stability of the display screen's Mark point positioning, eliminates noise interference, and enhances the performance of the vision alignment system under complex working conditions.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122156310B_ABST
    Figure CN122156310B_ABST
Patent Text Reader

Abstract

The application discloses a Mark point coordinate detection method based on an image sequence and a related device, and is used for improving display screen Mark point positioning precision. Image acquisition of N frames in succession is performed on a to-be-positioned object provided with a Mark point; Mark point coordinates of a photographed image sequence are extracted to generate a candidate coordinate point set; according to each candidate coordinate point, a gray feature of a photographed image where the candidate coordinate point is located is extracted to generate a gray feature set; a position deviation amount of each candidate coordinate point is calculated according to the candidate coordinate point set to generate a position deviation amount set; a gray consistency parameter of each candidate coordinate point is calculated according to the gray feature set; a multi-dimension confidence index of each candidate coordinate point in the candidate coordinate point set is calculated according to the position deviation amount set and the gray consistency parameter set; the candidate coordinate point set is screened according to the multi-dimension confidence index set, and a target coordinate of the Mark point is generated by using a screened candidate coordinate point subset.
Need to check novelty before this filing date? Find Prior Art