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Proceedings Paper

Automatic LED chips defect inspection using level set method of image segmentation
Author(s): Zhongliang Pan; Ling Chen
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Paper Abstract

Several types of defects in the LED chips may be caused from the manufacturing environments, these defects can result in the degradations of the parameters and performance. Hence it is very necessary to perform the defect detection of LED chips for effectively enhancing the production quality. In this paper, a new method is presented for the defect inspection of LED chips. The method makes use of both the support vector machine and the image segmentation based on level set to acquire the features of LED chip images and to carry out the inspection. First of all, the support vector machine is used to perform the clustering for the original LED images, the margin of region clustering is used as the initial contour curve. Secondly, the segmentation using level set is implemented for the LED images. The features of LED images are extracted, then the database of features is constructed. Therefore, an automatic inspection system for LED chip is built, the system can recognize the defective LED chips. The experimental results demonstrate that the presented method in this paper is able to detect the defects in the LED chips accurately.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941W (3 December 2015); doi: 10.1117/12.2201142
Show Author Affiliations
Zhongliang Pan, South China Normal Univ. (China)
Ling Chen, South China Normal Univ. (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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