Hassan Nasser Al-Fayadh, A., Rostom Mohammed, H., Maki kadham, S. (2012). Comparison Between Classical Masks and (Odd and Even) Groups Masks for Mycosis Fungoides Disease Skin Image Edges Detection. , 1(6), 88-96.
Ali Hassan Nasser Al-Fayadh; Hind Rostom Mohammed; Shaymaa Maki kadham. "Comparison Between Classical Masks and (Odd and Even) Groups Masks for Mycosis Fungoides Disease Skin Image Edges Detection". , 1, 6, 2012, 88-96.
Hassan Nasser Al-Fayadh, A., Rostom Mohammed, H., Maki kadham, S. (2012). 'Comparison Between Classical Masks and (Odd and Even) Groups Masks for Mycosis Fungoides Disease Skin Image Edges Detection', , 1(6), pp. 88-96.
Hassan Nasser Al-Fayadh, A., Rostom Mohammed, H., Maki kadham, S. Comparison Between Classical Masks and (Odd and Even) Groups Masks for Mycosis Fungoides Disease Skin Image Edges Detection. , 2012; 1(6): 88-96.

Comparison Between Classical Masks and (Odd and Even) Groups Masks for Mycosis Fungoides Disease Skin Image Edges Detection

Journal of Kufa for Mathematics and Computer
Article 1, Volume 1, Issue 6, 2013, Pages 88-96
Authors
Ali Hassan Nasser Al-Fayadh; Hind Rostom Mohammed; Shaymaa Maki kadham
Abstract
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.
Keywords
Edge detection; Skin image detection; Segmentation; Image Processing
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