一种基于计算机视觉技术的电解铜板缺陷检测方法及系统

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By employing adaptive image acquisition and feature processing techniques, the problems of near-large and far-small effect and light source shadow interference in the inspection of electrolytic copper plates have been solved, achieving high-precision defect detection and automated judgment.

CN121788935BActive Publication Date: 2026-07-17SHAANXI QIANBAIZE TECH CO LTD

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Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: SHAANXI QIANBAIZE TECH CO LTD
Filing Date: 2025-12-29
Publication Date: 2026-07-17

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Abstract

本发明公开了一种基于计算机视觉技术的电解铜板缺陷检测方法及系统，涉及图像处理技术领域，该系统由若干功能模块组成，包括：自适应图像采集模块，获取铜板三维起伏形态数据和2D图像，采用顶帽变换算法，基于三维起伏形态数据动态调整2D图像中结构元素尺寸，得到标准图像；缺陷分割模块，基于三维起伏形态数据，对铜板表面不同区域的光照反射差异进行灰度处理得到灰度值，将不同区域的灰度值映射至统一标准区间，采用3D特征增强与动态阈值分割策略，对标准图像进行缺陷图像提取；特征融合识别模块，从三维起伏形态数据和2D图像中提取几何特征和纹理特征，并与缺陷图像拼接形成初始特征向量。

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