Detect Nail Peculiarity Using Image Segmentation
P.Vimal kumar
, Dr. C. Balasubramanian
: Medical Image Processing, Finger Nail, Nail Disease, Watershed, Thresholding and K-means segmentation, Nail Peculiarity.
Medical Image Processing plays a vital role in diagnosing various diseases like skin cancer, brain tumor, breast cancer and diseases related to lungs and heart. Human nail acts as a window of the human body for diagnosing the diseases. The segmentation techniques to extract the infected nail regions and their shape attributes are calculated and analyzed. Initially the nail image is segmented using Watershed, Thresholding and K-means segmentation Techniques. Then, the Shape features of the segmented nail region are extracted which can be further used in the diagnosis of nail diseases. The results of the three segmentation techniques are compared and analyzed based on these features.
"Detect Nail Peculiarity Using Image Segmentation", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 2, page no.162 - 170, February-2019, Available :https://ijsdr.org/papers/IJSDR1902028.pdf
Volume 4
Issue 2,
February-2019
Pages : 162 - 170
Paper Reg. ID: IJSDR_190107
Published Paper Id: IJSDR1902028
Downloads: 000347039
Research Area: Engineering
Country: Virudhunagar, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
