摘要
机器视觉对水果的品质进行检测并实现自动分级时,将水果图像从背景中分割出来是一项非常重要的预处理步骤。其分割效果的好坏直接关系到后续分级的准确性。现提出一种基于模板法的图像与背景分离方法,通过大量的实验证明该方法对苹果与背景的分离是快速且有效的。
When computer vision is applied to fruit quality detection and automatic grading, how to segment the background and fruit image is a very important pretreatment step. Its division quality directly affects the flowing grading work＇s accuracy. In this paper, a segment method based on mask picture is proposed. And the massive experiments proved that the segment method is fast and effective.
出处
《黑龙江科技信息》
2009年第8期38-38,共1页
Heilongjiang Science and Technology Information
基金
长江学者与创新团队发展计划资助(IRT0629)
关键词
机器视觉
图像分割
模板图像
水果分级
Computer vision
Image segment
Mask picture
Fruit sorting
