Segmentation of fat and lean meat in beef images based on fuzzy C-means clustering

A method of adapted segmentation of fat and lean meat in beef imaging was introduced. The color Red, Green, Blue(RGB) beef images using black pan as background was captured by CCD camera. Then, background was removed from the beef images by the Method of Maxium Classes Square Error(OSTU method) in the red color band of the RGB image. After beef images were converted from RGB to gray image, an adaptive segmentation method using a fuzzy C-means (FCM) clustering algorithm was developed to separate fat pixels from lean meat pixels.