ISSN 2394-5125
 

Research Article 


Diagnosis of skin pigmentation disorders using image processing State of Art and future scope

Neha Agrawal, Dr. Sagaya Aurelia.

Abstract
Digital image processing is an emerging field in medical science. It has a lot of applications in different fields of
medical science. Latterly digital image processing techniques have been used in diagnosis of skin pigmentation
disorders. The largest part of the body is skin. There is a possibility it will be affected more by different diseases
Several works has been proposed to identify different image diseases like Melanoma, vitiligo ,Leprosy, tinea
versicolor, Skin tumors , freckles, Melasma, Lentigines, macules, Nevus of Ota and Face Pigment Region . Melanoma
is a deadly disease which affects skin surface cells melanocytes, which is responsible for skin color. This is the most
dangerous type of skin cancer. Vitiligo is an autoimmune disease whichoccurs when the cells that produce melanin
die. It generates a negative emotional burden on a person and they lose their confidence to go out in society. There are
some non-tumorous diseases such as freckles; lentigines which are non fatal, but wrong diagnosis may cause adverse
effects on the patients. For identifying skin disease using digital images involves the following steps: Image
acquisition, pre-processing, segmentation, feature selection or extraction, and classification. An overview of different
techniques used in digital image processing for skin diseases identification is discussed in this review. Different data
sources, segmentation, feature extraction and classification techniques were discussed which are used by different
authors. Also at end we have discussed the research gap and future work, which can be carry forward in this field.

Key words: skin disease, digital image processing, feature extraction, segmentation, classification, vitiligo


 
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Pubmed Style

Neha Agrawal, Dr. Sagaya Aurelia. Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. JCR. 2020; 7(15): 952-969. doi:10.31838/jcr.07.15.136


Web Style

Neha Agrawal, Dr. Sagaya Aurelia. Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. http://www.jcreview.com/?mno=120052 [Access: September 15, 2020]. doi:10.31838/jcr.07.15.136


AMA (American Medical Association) Style

Neha Agrawal, Dr. Sagaya Aurelia. Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. JCR. 2020; 7(15): 952-969. doi:10.31838/jcr.07.15.136



Vancouver/ICMJE Style

Neha Agrawal, Dr. Sagaya Aurelia. Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. JCR. (2020), [cited September 15, 2020]; 7(15): 952-969. doi:10.31838/jcr.07.15.136



Harvard Style

Neha Agrawal, Dr. Sagaya Aurelia (2020) Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. JCR, 7 (15), 952-969. doi:10.31838/jcr.07.15.136



Turabian Style

Neha Agrawal, Dr. Sagaya Aurelia. 2020. Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. Journal of Critical Reviews, 7 (15), 952-969. doi:10.31838/jcr.07.15.136



Chicago Style

Neha Agrawal, Dr. Sagaya Aurelia. "Diagnosis of skin pigmentation disorders using image processing State of Art and future scope." Journal of Critical Reviews 7 (2020), 952-969. doi:10.31838/jcr.07.15.136



MLA (The Modern Language Association) Style

Neha Agrawal, Dr. Sagaya Aurelia. "Diagnosis of skin pigmentation disorders using image processing State of Art and future scope." Journal of Critical Reviews 7.15 (2020), 952-969. Print. doi:10.31838/jcr.07.15.136



APA (American Psychological Association) Style

Neha Agrawal, Dr. Sagaya Aurelia (2020) Diagnosis of skin pigmentation disorders using image processing State of Art and future scope. Journal of Critical Reviews, 7 (15), 952-969. doi:10.31838/jcr.07.15.136