1. An approach of halal poultry meat comparison based on mean-shift segmentation
- Author
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Shah Rizam Mohd Shah Baki, Ruhani Abdul Rahman, Nooritawati Md Tahir, and Mohd Amin Mansor
- Subjects
business.industry ,Flesh ,Mean shift segmentation ,Color tone ,Pattern recognition ,Image segmentation ,Color space ,Pixel based ,Poultry meat ,Computer vision ,Mean-shift ,Artificial intelligence ,business ,Mathematics - Abstract
This study describes a method to identify slaughtered poultry based on Islamic way. This is done based on evaluation the meat color in order to determine if the poultry is slaughtered based on Islamic way or vice versa. Firstly, the intensity color level that represented the chest meat of the poultry is determined under controlled illumination and camera positioning. Next, LUV color space is used to determine the color tone of the pixel based on mean shift method. Initial results showed that the proposed method that based on mean shift segmentation proven that Halal flesh images owned extremely high value of U component as compared to Non-halal flesh. Thus the proposed method is capable to identify poultry slaughtered using Islamic Law or otherwise.
- Published
- 2013
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