International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 46 - Issue 18 |
Published: May 2012 |
Authors: Ameer A. M. Al-Shammaa, Hind Rostom Mohamed |
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Ameer A. M. Al-Shammaa, Hind Rostom Mohamed . Extraction of connected components Skin pemphigus diseases image edge detection by Morphological operations. International Journal of Computer Applications. 46, 18 (May 2012), 7-13. DOI=10.5120/7039-9329
@article{ 10.5120/7039-9329, author = { Ameer A. M. Al-Shammaa,Hind Rostom Mohamed }, title = { Extraction of connected components Skin pemphigus diseases image edge detection by Morphological operations }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 46 }, number = { 18 }, pages = { 7-13 }, doi = { 10.5120/7039-9329 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Ameer A. M. Al-Shammaa %A Hind Rostom Mohamed %T Extraction of connected components Skin pemphigus diseases image edge detection by Morphological operations%T %J International Journal of Computer Applications %V 46 %N 18 %P 7-13 %R 10.5120/7039-9329 %I Foundation of Computer Science (FCS), NY, USA
In the present paper, a Skin pemphigus diseases image detection method color based segmentation and morphological operation is proposed. Three Stages proposed: First stage: the color based segmentation takes in only one color spaces HSV, instead of three color spaces, Second stage the morphological operations with their analysis While third stage contain Extraction of connected components Skin image edge detection and a template matching. For each stage a novel algorithm which combines pixel and region based color segmentation techniques is used. Algorithm for skin segmentation of color image sequences. The experimental results for Skin pemphigus diseases image detector confirm the effectiveness of the proposed algorithm