A Method and System for Instrument Reading Recognition Based on Image Segmentation

By using image segmentation technology, training a semantic segmentation model, and performing rotation correction and triangle fitting, the difficulties in reading recognition caused by instrument occlusion and type changes are solved, achieving high-precision and widely applicable instrument reading recognition.

CN115690419BActive Publication Date: 2026-05-26SHANDONG SYNTHESIS ELECTRONICS TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG SYNTHESIS ELECTRONICS TECH
Filing Date
2022-10-31
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies cannot accurately identify instrument readings when pointer-type instruments are obstructed or of different types, and existing machine vision methods lack generalization ability.

Method used

An image segmentation-based method is adopted. By training a semantic segmentation model, the mask information of the pointer area, the center area of ​​the dial, and the set triangular area in the instrument image is extracted, rotation correction and triangle fitting are performed, and key points are calculated to identify the instrument reading.

Benefits of technology

It achieves accurate identification under obstructed conditions and different types of instruments, improving the accuracy and generalization ability of instrument reading identification, with an error within 2%.

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Abstract

This invention discloses a method and system for instrument reading recognition based on image segmentation, comprising: acquiring an instrument image to be recognized; extracting mask information of the pointer region, the center region of the dial, and a predetermined triangular region from the instrument image using a trained semantic segmentation model; wherein the predetermined triangular region is the triangular region formed by the first and last scale values ​​of the dial and the center region of the dial; separating the pointer region, the center region of the dial, and the predetermined triangular region into three independent channels based on the mask information of each region, and performing rotation correction on the instrument position in the instrument image; performing triangle fitting on the predetermined triangular region, selecting key points in the center region of the dial, the pointer region, and the fitted predetermined triangular region, and calculating the instrument reading based on the key points. The segmentation method of this invention has higher annotation efficiency and fewer, larger, labeled target regions, resulting in an overall improvement in algorithm performance.
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