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

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.