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Liu Muhua, Zhao Jiewen, Zhang Haidong. Segmentation of fat and lean meat in beef images based on fuzzy C-means clustering[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(2): 161-163.
Citation: Liu Muhua, Zhao Jiewen, Zhang Haidong. Segmentation of fat and lean meat in beef images based on fuzzy C-means clustering[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(2): 161-163.

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

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  • Received Date: July 10, 2003
  • Published Date: March 30, 2004
  • 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.
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