A contour extraction algorithm based on wavelet transform and dynamic contour compensation

被引：0

作者：

Mu, Bao-Yan ^{[1
]}

Chen, Shuai ^{[1
]}

Ma, Yue ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China

来源：

PROCEEDINGS OF THE 2ND ANNUAL INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND INFORMATION SCIENCE (EEEIS 2016) | 2016年 / 117卷

关键词：

Edge Detection; Wavelet Transform; Contour Compensation; NEURAL-NETWORK;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Contour extraction process is often disturbed by complex backgrounds or foregrounds in the machine vision system. A new contour extraction algorithm is proposed based on wavelet transform and dynamic contour compensation. The wavelet transform method is used to extract the edge of image, and the dynamic compensation is used to restore the contour which is affected by the complex dark areas such as bar code or black icon. The algorithm is applied in a sausage machine vision inspection system, and it is proved effective in eliminating the contour depression and retaining the actual defect features.

引用

页码：109 / 115

页数：7

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