Comparison between classical masks and (odd and even) groups masks for mycosis fungoides disease skin image edges detection

In the present paper, a comparison between classical masks and (odd and even) masks groups for Mycosis Fungoides disease Skin image edges detection is performed. The goal is to extract the information known in the image because it is vital to understand the image content as the proposed approach is...

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Bibliographic Details
Published in:	Journal of Kufa for Mathematics and Computer Vol. 1; no. 6; pp. 88 - 96
Main Authors:	al-Fayyd, Ali Hasan Nasir, Kazim, Shayma Makki, Muhammad, Hind Rustum
Format:	Journal Article
Language:	English
Published:	Najaf, Iraq University of Kufa, Faculty of Mathematics and Computers Science 30-12-2012 Faculty of Computer Science and Mathematics, University of Kufa
Subjects:	Diseases Edge detection Image processing Methods Segmentation Skin Skin image detection الأمراض الأمراض الجلدية الجلد
Online Access:	Get full text
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Summary:	In the present paper, a comparison between classical masks and (odd and even) masks groups for Mycosis Fungoides disease Skin image edges detection is performed. The goal is to extract the information known in the image because it is vital to understand the image content as the proposed approach is the comparative edge by masks classical and a new set of Groups masks (odd and even ) which consist of 10 masks. The database consists of 40 images reprints different stage of the Mycosis Fungoides disease Skin images 10 images for each stage. The experimental results confirm the effectiveness of the proposed system. And confirm the effectiveness of the proposed (odd and even) Groups masks.
ISSN:	2076-1171 2518-0010
DOI:	10.31642/JoKMC/2018/010611