|
Analysis on melanoma skin segmentation by utilization of morphological process with PCA algorithms
|
|
| Author:
|
SRAVANATHI P, RAVIKANTH P, DR TV RAMESH, DR RAGHAVA
|
| Abstract:
|
Skin is the largest organ as it is located throughout the human body and it is one of the five sense organs. Skin protects the human body against heat, sunlight and injury. Skin cancer is a major dangerous manifestation of disease by late days, skin growth may be viewed as will a chance to be a standout amongst the A large portion hazardous types of tumor discovered to people. Skin growth is discovered On Different types, which incorporate melanoma, basal cell carcinoma, and squamous cell carcinoma, the vast undetermined being melanoma. Early detection of melanoma cancer can be effective in treating it. It is caused by-exposure to UV rays. The early detection of a deadly form of skin cancer can be done by using image-based computer aided diagnostic systems. These image processing systems have a significant potential to detect malignant melanoma. The acquired original image is processed in such a way that the quality of image is enhanced by removal of noise and structures like hair. The process is mainly carried out through Principal Component Analysis and Morphological operators for feature extraction. The algorithm can be implemented through Matlab tool with version R2015b or above. The main goal of this work is to extract and outline the skin lesion for early detection, which can help in prompt treatment at the right time to prevent loss of life.
|
| Keyword:
|
principle Component Analysis, Morphological and Melanoma
|
| EOI:
|
-
|
| DOI:
|
https://doi.org/10.31838/ijpr/2020.SP2.425
|
| Download:
|
Request For Article
|
|
|