High-temperature red-hot target visual measurement correction method
By correcting the distortion of the visual inspection system in a high-temperature environment and using a binocular camera to collect calibration plate images for feature point extraction and internal parameter calibration, the problem of insufficient detection accuracy in a high-temperature environment is solved, and high-precision and real-time detection effects are achieved.
CN114170156BActive Publication Date: 2025-10-24XIAN UNIV OF TECH
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Patent Information
- Application Number
- CN202111395162.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-23
- Publication Date
- 2025-10-24
- Estimated Expiration
- 2041-11-23
AI Technical Summary
Technical Problem
Existing visual inspection technology is difficult to effectively correct distortion in high-temperature environments, which affects detection accuracy and leads to a decrease in processing accuracy.
Method used
The calibration plate image is collected by a binocular camera, and feature point extraction, dedistortion processing, perspective operation and internal parameter calibration are performed to correct the distortion of the detection system and improve the detection accuracy.
Benefits of technology
It greatly improves the accuracy of the detection system, provides a high-precision physical and theoretical basis for the system, and enhances its practicality and real-time performance.
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Smart Images
Figure CN114170156B_ABST
Abstract
The application discloses a high-temperature red-hot target visual measurement correction method, and specifically comprises the following steps: step 1, acquiring a calibration board through a binocular camera to obtain an image Y, performing feature point extraction on the image Y, and performing distortion removal processing on all the extracted feature points to obtain an image Y1; step 2, performing perspective operation on the image Y1 obtained in step 1 to obtain an image Y2; step 3, performing internal parameter calibration on the image Y2 obtained in step 2 to obtain an image Y3 based on a world coordinate system; and step 4, judging whether the image Y3 obtained in step 3 satisfies the error precision δ of measurement, and outputting a final image according to the judgment result. The application improves the precision of the detection result by correcting the distortion between detection systems.
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