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

Joint Authors

Muhammad, Hind Rustum
al-Fayyd, Ali Hasan Nasir
Kazim, Shayma Makki

Source

Journal of Kufa for Mathematics and Computer

Issue

Vol. 1, Issue 6 (31 Dec. 2012), pp.88-96, 9 p.

Publisher

University of Kufa Faculty of Mathematics and Computers Science

Publication Date

2012-12-31

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Medicine

Topics

Abstract EN

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.

American Psychological Association (APA)

al-Fayyd, Ali Hasan Nasir& Muhammad, Hind Rustum& Kazim, Shayma Makki. 2012. 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،Vol. 1, no. 6, pp.88-96.
https://search.emarefa.net/detail/BIM-317915

Modern Language Association (MLA)

al-Fayyd, Ali Hasan Nasir…[et al.]. 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 Vol. 1, no. 6 (Dec. 2012), pp.88-96.
https://search.emarefa.net/detail/BIM-317915

American Medical Association (AMA)

al-Fayyd, Ali Hasan Nasir& Muhammad, Hind Rustum& Kazim, Shayma Makki. 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. 2012. Vol. 1, no. 6, pp.88-96.
https://search.emarefa.net/detail/BIM-317915

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 95-96

Record ID

BIM-317915