机械制造与自动化Issue(5)：145-146,214,3.
基于人工蜂群算法的彩色铁谱图像背景减除
Color Ferrography Image Background Subtraction Based on Artificial Bee Colony Algorithm
摘要
Abstract
Aiming at the ferrography image background and wear particle segmentation, this paper proposes the color ferrography image background ( ABCTO) . based on the artificial bee colony algorithm which is used to respectively segment L, a, b three chan-nel images in CIE L∗a∗b color spaces. Then it is operated according to each channel segmentation result, to get the binary image of ferrography image and realize the separation of the wear particle and the background. In order to get the color ferrography image background subtraction, the background pixels of the original image is let to be white. The experimental results prove that this meth-od can be used to precisely and effectively subtract the ferrography image background.关键词
铁谱图像/人工蜂群算法/背景减除Key words
ferrography image/artificial bee colony algorithm/background subtraction分类
信息技术与安全科学引用本文复制引用
刘万龙,王静秋..基于人工蜂群算法的彩色铁谱图像背景减除[J].机械制造与自动化,2016,(5):145-146,214,3.基金项目
国家自然科学基金青年基金(51205202) （51205202）
南京航空航天大学基本基金(NS2010136) （NS2010136）
