International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
(Peer Reviewed, Open Access, Indexed, Scholarly Journal)
Celebrating 10 Years of Publishing
Paper Title - Image Segmentation Method for Skin Cancer Features Extraction
The application of image processing for diagnostics purpose is a non-invasive technique. There is currently a
great interest in theprospects of automatic image analysis method for image processing, both to provide quantitative
information about a lesion, which can be relevance for the clinical, and as a standalone early warning tool. In order to
achieve an effective way to identify skin cancer at an early stage without performing any unnecessary skin biopsies, digital
images of melanoma skin lesions have been investigated. To achieve this goal, feature extraction is considered as an
essential-weapon to analyse an image appropriately. In this paper, different digital images have been analysed based on
unsupervised segmentation techniques. Feature extraction techniques are then applied on these segmented images. After this,
a comprehensive discussion has been explored based on the obtained results.
Keywords - Clustering, Dilation, Erosion, Features, Image Processing, Melanoma, Supervised, Segmentation.
Author - Manish Kumar Nisad, Seema Mishra
Citation - Manish Kumar Nisad ,
Seema Mishra ,
Manish Kumar Nisad, Seema Mishra " Image Segmentation Method for Skin Cancer Features Extraction " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-5,Issue-11 ( Nov, 2017 )