一种微小表面缺陷的机器视觉检测方法

doi:10.3969/j.issn.0255-8297.2012.05.015

Abstract

Abstract:

This paper proposes an effective method to be used in fast detection of small surface defects. The space domain gradient method is useful to enhance the surface image. However, we show that the Otsu method cannot produce satisfied result in segmenting small defects in a large surface image. To detect small defects and improve the performance of Otsu method, an algorithm based on the distribution of variances of image blocks is developed to search of small defect regions. Analysis and experiments show that the proposed method can be applied for fast detection of small surface defects.

Key words: small surface defects, machine vision, Otsu criterion, image segmentation

HE Zhi-yong1;2, SUN Li-ning1;2, RUI Yan-nian1. Detection of Small Surface Defects Based on Machine Vision[J]. Journal of Applied Sciences, 2012, 30(5): 531-537.

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Detection of Small Surface Defects Based on Machine Vision

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