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HSL Color Space Based Skin Lesion Segmentation Using Fuzzy-Based Techniques

  • P. GanesanEmail author
  • B. S. Sathish
  • L. M. I. Leo Joseph
Conference paper
  • 11 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 665)

Abstract

Skin lesion is the anomalous intensification contrast to the skin just about it. It is categorized as primary or secondary. The primary lesions are uncharacteristic skin circumstances existence at birth. The secondary lesions are the result of manipulated primary lesions. There are more than 20 types of skin lesions. Segmentation is the process of partition of the test image into number of significant clusters. Every cluster should be unique in terms of any one of the image attributes such as texture, intensity, or color. The accomplishment of image analysis primarily based on the upshot of the segmentation process. The proposed approach performs the skin lesion segmentation using fuzzy c-means clustering (FCM), Possibilistic c-means clustering (PCM). Possibilistic fuzzy c-means clustering (PFCM) and modified fuzzy c-means clustering (PFCM). The experimental result reveals the competency of the MFCM for skin lesion segmentation.

Keywords

Segmentation Color space Skin lesion Clustering Fuzzy c-means clustering 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • P. Ganesan
    • 1
    Email author
  • B. S. Sathish
    • 2
  • L. M. I. Leo Joseph
    • 3
  1. 1.Department of Electronics and Communication EngineeringVidya Jyothi Institute of TechnologyHyderabadIndia
  2. 2.Department of Electronics and Communication EngineeringRamachandra College of EngineeringEluruIndia
  3. 3.Department of Electronics and Communication EngineeringS.R. Engineering CollegeWarangalIndia

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