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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 8,August 2012
A new masks group called A. H. SH. Rostom for Mycosis Fungoides Skin image Edge detection
Full Text(PDF, )  PP.1-4  
Author(s)
Dr. Ali Hassan Nasser Al-Fayadh, Hind Rostom Mohammed, Shaymaa Maki kadham
KEYWORDS
Edge detection ,Skin image detection, Segmentation, Image processing
ABSTRACT
In the present paper, new method called (A.H. SH..Rostom Group masks) for Mycosis Fungoides Skin image Edge detection is proposed. The Group consists of I0 masks were geometry of the mask operator determines a characteristic direction in which it is most sensitive to edges. applied to the four stages of the Mycosis Fungoides disease Skin image have been identified and the edges of the images used for each and every stages that the database consists of 40 images divided each stage of the Mycosis Fungoides disease Skin image I0 images. For each stage a novel algorithm which combines pixel and region based color segmentation techniques is used. The experimental results confirm the effectiveness of the proposed A.H. SH.Rostom Group masks .
References
[1] Mohamed A. El-Sayed, A New Algorithm Based Entropic Threshold for Edge Detection in Images, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 1, September 2011.

[2] A. El-Zaart, "A Novel Method for Edge Detection Using 2 Dimensional Gamma Distribution", Journal of Computer Science 6 (2), 2010.

[3] N. Senthilkumaran and R. Rajesh, “A Study on Edge Detection Methods for Image Segmentation”, Proceedings of the International Conference on Mathematics and Computer Science (ICMCS-2009), Vol.I 2009.

[4] C.NagaRaju , S.NagaMani, G.rakesh Prasad, S.Sunitha., Morphological Edge Detection Algorithm Based on Multi-Structure Elements of Different Directions,

[5] International Journal of Information and Communication Technology Research, Volume 1 No. 1, May 2011.

[6] Balkrishan Ahirwal, Mahesh Khadtare and Rakesh Mehta, “FPGA based system for Color Space Transformation RGB to YIQ and YCbCr.” International Conference on Intelligent and Advanced Systems,2007.

[7] B.Poornima, Y.Ramadevi, T.Sridevi, Threshold Based Edge Detection Algorithm, IACSIT International Journal of Engineering and Technology, Vol.3, No.4, August ,2011.

[8] Beant Kaur, Anil Garg, Amandeep Kaur, Mathematical Morphological Edge Detection For Remote Sensing Images, IJECT Vol. 1, Issue 1, December 2010.

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