Title :
An approach of halal poultry meat comparison based on mean-shift segmentation
Author :
Mansor, Mohd Asri ; Baki, Shah Rizam Mohd Shah ; Tahir, Nooritawati Md ; Rahman, Ruhani Ab
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
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.
Keywords :
cameras; food products; image colour analysis; image segmentation; production engineering computing; Halal poultry meat comparison approach; Islamic way; LUV color space; camera positioning; controlled illumination; intensity color level; mean-shift segmentation method; meat color evaluation; nonHalal flesh; pixel color tone; slaughtered poultry identification; Algorithm design and analysis; Clustering algorithms; Computer vision; Image color analysis; Image segmentation; Pattern recognition; Standards; LUV colour space; Mean Segmentation; Poultry; Slaughter Status;
Conference_Titel :
Systems, Process & Control (ICSPC), 2013 IEEE Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2208-6
DOI :
10.1109/SPC.2013.6735147