Detecting Skin Disease by Accurate Skin Segmentation Using Various Color Spaces
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 12
Abstract
Skin diseases which may be of the bacterial, fungal, allergies, enzyme etc. are very harmful for the skin and can spread throughout if not detected accurately as early as possible. So becomes necessary to detect the type disease accurately in early stage and control it by taking proper precautions is demanding now days. So the automatic image analysis method can work really good in this way and is the heart of image processing. Especially in medical field it becomes useful for providing the quantitative information related with the skin disease. So proved as a early warning tool for future problems during the treatment. Now a day's there is a need to perform the detection of disease accurately without any penetration in the body that's why simply digital images of affected skin region are captured by the camera can be processed by using image processing tools. There are many sub techniques of image processing tools are work and played important role in the area of research. This paper presents the detection of skin disease by image processing tools like preprocessing, segmentation, feature extraction, classification and uses specific techniques for the relative steps. While doing the segmentation it uses various color spaces like RGB, Ycbcr, HSV etc. so that accurate skin segmentation will be done for proper feature extraction and classification so the disease can be detected accurately and can improve the efficiency of the system. Also gives the type and percentage of diseases.
Authors and Affiliations
Megha D. Tijare, Dr. V. T. Gaikwad
Keywords
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- EP ID EP431556
- DOI 10.9790/9622-0812032831.
- Views 149
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