Open AccessSkin Dermatitis Detection using Image Segmentation Techniques
Author(s) -
Maryam Haider Metib,
Marwa Faris Abdulhssien,
Ashwan A. Abdulmunem
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032018
Subject(s) - segmentation , artificial intelligence , image segmentation , computer science , computer vision , pattern recognition (psychology) , texture (cosmology) , image (mathematics) , dermis , image texture , scale space segmentation , medicine , pathology
This work, the image segmentation methods are proposed to provide a solution to a vital problem in health sector, which is detection of skin disease areas. Detection skin diseases has an important role to diagnose the affected area and treat them. In Health community considers this problem is vital because the accuracy of the disease recognition based on this step. We use three of image segmentation techniques namely, Morphology, K-mean and texture segmentation algorithms. These three methods have been applied on collected dataset of different skin dermis diseases. The results show these methods give reliable results to detect successfully the affected area on human skin.