Dirt detection on brown eggs based on computer vision

被引：0

作者：

Tu, Kang ^{[1
]}

Pan, Lei-Qing ^{[1
]}

Yang, Jia-Li ^{[1
]}

Su, Zi-Peng ^{[1
]}

Yu, Xue ^{[1
]}

机构：

[1] College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China

来源：

Jiangsu Daxue Xuebao (Ziran Kexue Ban) / Journal of Jiangsu University (Natural Science Edition) | 2007年 / 28卷 / 03期

关键词：

Algorithms - Computer simulation - Computer vision - Image processing - Inspection;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The traditional artificial method of examining dirty spot of egg shells has unavoidable disadvantages. For example, the workers' subjectivity and vision tiredness easily lead to low accuracy, thus can not satisfy the demand of the modern industry production. A device of detecting egg dirty spot by using computer vision was built up. The image of egg shell surface was captured, then the images were processed and analyzed. The algorithm and the way of classification were set up based on characteristic parameters obtained from the images. The results showed that the rate of detecting dirty eggs could reach 92.7%. The accuracy of classifying total eggs could exceed 90%, and the automatic detection of egg dirt can be realized.

引用

页码：189 / 192