Open AccessA Review on Segmentation of Vitiligo image
Author(s) -
Neha Agrawal,
Sagaya Aurelia
Publication year - 2021
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/1131/1/012003
Subject(s) - artificial intelligence , thresholding , image segmentation , computer vision , segmentation based object categorization , scale space segmentation , computer science , segmentation , vitiligo , region growing , image processing , image (mathematics) , digital image processing , image texture , digital image analysis , pattern recognition (psychology) , medicine , dermatology
Digital image processing is playing a vital role in medical science. Segmentation is a very important and critical step of image processing to analyse the image. Segmentation has become an eminent objective in image analysis and computer vision algorithms. Vitiligo is a very common skin disease that causes depression for the patient suffering from it. In current work, several segmentation techniques like thresholding, watershed, Region-based RAG, Felzenszwalb Segmentation, SLIC - K-Means based image segmentation, and Quickshift image segmentation were analysed along with their experimental results on vitiligo image. The execution time of different algorithms was also measured and analysed. Some of the advantages and disadvantages of applied techniques were discussed.