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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Defect Detection of Alumina Substrate with Adaptive Edge Detection Algorithm
verfasst von : Chaorong Li, Liangwei Chen, Lihong Zhu, Yu Xue
Erschienen in: Cloud Computing and Security
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Abstract
Detecting surface defects of alumina substrate by using computer technique will enhance productivity in industrial manufacture. Edge detection of image is the commonly used technique for the detection of surface defects. However, it is difficult to automatically detect the surface defects of the alumina substrate since the noise and the multiple kinds of defects may exist in a substrate. In this paper, we designed an edge detection algorithm based on Canny detector aiming to automatically detect the surface defects of alumina substrate. Our algorithm can adaptively smooth image as well as adaptively determine the low threshold and high threshold. Experiments show that our algorithm can effectively and automatically detect several kinds of surface defects in the alumina substrate.