Detection and segmentation of human face
الباحث الأول:
Nidhal K El Abbadi,
الباحثين الآخرين:
Ali Abdul Azeez Qazzaz
المجلة:
International Journal of Advanced Research in Computer and Communication Engineering
تاريخ النشر:
None
مختصر البحث:
. In this paper we introduced a new method for face detection and segmentation based on face color, we uses the YCbCr color space as a method to segment image to many regions. Gray level co-occurrence matrix used to extract the important features re…
. In this paper we introduced a new method for face detection and segmentation based on face color, we uses the YCbCr color space as a method to segment image to many regions. Gray level co-occurrence matrix used to extract the important features represent the skin, and then Tamura texture used to remove all the non skin blobs which is recognized as skin by GLCM. The proposed algorithm tested with many images and it was successfully recognize the images with faces from images without faces. The proposed algorithm has high efficient in detec9ted faces and segmented faces from the background.