Investigation on Dermoscopic Image Segmentation using Fuzzy Clustering Techniques
Main Article Content
Abstract
Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the
structure of interest in medical images. This paper explains the task of segmenting skin lesions in Dermoscopy images using various Fuzzy clustering
techniques for the early diagnosis of Malignant Melanoma. The various Fuzzy clustering techniques used are Fuzzy C Means Algorithm (FCM),
Possibilistic C Means Algorithm and Hierarchical C Means Algorithm. The segmented images are compared with the ground truth image using
various parameters such as False Positive Error (FPE), False Negative Error (FNE) Coefficient of similarity, Spatial overlap and their performance is
evaluated.
Â
Â
Keywords: Fuzzy C Means clustering, Possibilistic C clustering, Hierarchical C Means, False Positive Error, False Negative Error, Coefficient of
similarity, Spatial overlap
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.