基于OpenCV与边缘检测技术的工业测温系统的开发

齐浡巍; 姜志伟

基于OpenCV与边缘检测技术的工业测温系统的开发

引用本文：齐浡巍,姜志伟.基于OpenCV与边缘检测技术的工业测温系统的开发[J].计算技术与自动化,2026,(2):80-85

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作者	单位
齐浡巍,姜志伟	（武汉科技大学材料学部,湖北武汉 430081）

中文摘要:设计了一套基于OpenCV的检测系统来测量钢铁生产线上高温钢坯的温度，并将其以伪彩色图像显示出来。为避免非饱和区像素对检测结果的影响，系统设计了一种筛选识别算法用于识别图像中的有效区域。该方案采用Laplacian算子来区分连通域，并与基于Hu矩的形态学目标匹配来完成设计。试验结果表明，此方法能及时识别出有效计算区域并显示温度图像。验证实验中该系统测量的温度最高误差不超过2.32%，可满足现场应用的需求。

中文关键词:测温系统开发图像处理边缘检测 OpenCV

Development of Industrial Temperature Measurement System Based on OpenCV and Edge Detection

Abstract:An OpenCV-based detection system was designed to measure the temperature of high-temperature steel billets on a steel production line, displaying results in pseudo-color images. To prevent non-saturated pixel areas from affecting detection accuracy, a filtering and identification algorithm was implemented to recognize valid regions within the images. This approach utilizes the Laplacian operator to differentiate connected domains and incorporates morphological target matching based on Hu moments. Experimental results demonstrate that this method reliably identifies effective calculation regions and displays temperature images in real time. In validation experiments, the system's maximum temperature measurement error remains within 2.32%, thus fulfilling on-site application requirements.

keywords:temperature measurement system development image processing edge detection OpenCV

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