Human-oriented image recognition for industrial inspection system

M. Nakagawa, K. Ohnishi, H. Nakayasu
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引用次数: 6

Abstract

An algorithm was proposed intending for external view image processing of FRP panel in visual inspection process. In the proposed algorithm, three kinds of inspection information such as location, size and level of defects are treated for clustering image data. The proposed algorithm enables one to process the dynamic sequential images with small facility and to obtain a reasonable efficiency of visual inspection. When the algorithm proposed by the authors was included, instead of a visual inspection process by a human being, it is expected that the productivity will be further improved and the human being, machine and computer will be cooperated respectively. Some numerical studies for visual inspection of FRP panel shows that the performance of the proposed algorithm is similar to that of expert inspector.
面向人的工业检测系统图像识别
针对玻璃钢面板视觉检测过程中的外视图像处理问题,提出了一种算法。该算法对缺陷的位置、大小和等级等三种检测信息进行聚类处理。该算法能够以较小的设备处理动态序列图像,并获得合理的视觉检测效率。当采用作者提出的算法后,不再是人工的目视检测过程,有望进一步提高生产率,实现人、机、机的协同工作。对玻璃钢面板目视检测的数值研究表明,该算法的性能与专家检测方法相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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