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

作　　者：刘万龙[1] 王静秋[1] 

机构地区：[1]南京航空航天大学机电学院,江苏南京210016

出　　处：《机械制造与自动化》2016年第5期145-146,214,共3页Machine Building & Automation

基　　金：国家自然科学基金青年基金(51205202);南京航空航天大学基本基金(NS2010136)

摘　　要：针对铁谱图像背景与磨粒的分割,提出了基于人工蜂群算法的彩色铁谱图像背景减除方法(ABCTO)。该方法是在CIE L*a*b*颜色空间,利用人工蜂群算法分别对L、a、b三通道图进行分割;再通过对各通道分割结果进行操作,得到铁谱图像二值图,实现磨粒与背景的分离;最后将原始图像的背景像素点设置为白色,从而得到减除背景的彩色铁谱图像。实验证明该方法可以精确减除铁谱图像背景,是一种有效的背景减除方法。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 channel 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 method 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 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]