An Enhancement Algorithm Based on Fuzzy Sets Algorithm Using Computer Vision System for Chip Image Processing

被引:0
|
作者
Tan, Chengxiang [1 ]
Yang, Lina [1 ]
Li, Xichun [1 ]
机构
[1] Guangxi Normal Univ Nationalities, Chongzuo 532200, Guangxi, Peoples R China
来源
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND ENGINEERING APPLICATION, ICSCTEA 2013 | 2014年 / 250卷
关键词
Image processing algorithm; Image enhancement; Edge detection; Computer vision detection; Fuzzy sets;
D O I
10.1007/978-81-322-1695-7_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In industry, chip vision-based detection system cannot detect the dots and shatter within 2 pixels. In the process of chip image detection, image processing algorithm has great influence on the effectiveness and accuracy of detection and recognition. Among them, the image enhancement and edge extraction are the primary characteristics. The classical edge extraction methods mainly include Prewitt operator, Sobel operator, and traditional canny operator. By using these, the processing speed is fast and simple, but to shatter edge extraction is not efficient. In this paper, an enhancement algorithm based on fussy sets algorithm for the chip image processing is presented. We expect that the proposed algorithm can improve the detection accuracy within 2 pixels and improve the processing efficiency.
引用
收藏
页码:17 / 24
页数:8
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