基于K-means与SVM的鸡蛋特征检测

Eggs Feature Detection Based on K-means and SVM

机器视觉与机器学习的不断发展对传统的视觉特征提取的影响在不断加强,在实际的使用当中也在逐步替代那些繁杂的人工特征提取的方式,论文从实际应用当中介绍一种基于K-means自动提取特征的方法,其在鸡蛋缺陷检测使用中得到了较好的实际效果。

Machine vision and machine learning are used in the feature extraction,and their influences are important.In the actual application they have gradually replace those cumbersome manual feature extraction recentlly.This paper presents apractical application based on K-means the method of automated feature extraction,which gets better practical results in the use of eggs defect detection.