WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/5251,
	  title     = {A New Approach to Image Segmentation via Fuzzification of Rènyi Entropy of Generalized Distributions},
	  author    = {Samy Sadek and  Ayoub Al-Hamadi and  Axel Panning and  Bernd Michaelis and  Usama Sayed},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose a novel approach for image
segmentation via fuzzification of Rènyi Entropy of Generalized
Distributions (REGD). The fuzzy REGD is used to precisely measure
the structural information of image and to locate the optimal
threshold desired by segmentation. The proposed approach draws
upon the postulation that the optimal threshold concurs with
maximum information content of the distribution. The contributions
in the paper are as follow: Initially, the fuzzy REGD as a measure of
the spatial structure of image is introduced. Then, we propose an
efficient entropic segmentation approach using fuzzy REGD.
However the proposed approach belongs to entropic segmentation
approaches (i.e. these approaches are commonly applied to grayscale
images), it is adapted to be viable for segmenting color images.
Lastly, diverse experiments on real images that show the superior
performance of the proposed method are carried out.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {8},
	  year      = {2009},
	  pages     = {1572 - 1577},
	  ee        = {https://publications.waset.org/pdf/5251},
	  url   	= {https://publications.waset.org/vol/32},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 32, 2009},
	}