A Hybrid Approach for Image Segmentation Using Fuzzy Clustering and Level Set Method | Zendy

Sanjay Kumar | Zendy; Santosh Kumar Ray | Zendy; Peeyush Tewari | Zendy

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A Hybrid Approach for Image Segmentation Using Fuzzy Clustering and Level Set Method

Author(s) -

Sanjay Kumar,

Santosh Kumar Ray,

Peeyush Tewari

Publication year - 2012

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2012.06.01

Subject(s) - artificial intelligence , image segmentation , level set (data structures) , pattern recognition (psychology) , active contour model , computer vision , scale space segmentation , computer science , segmentation , segmentation based object categorization , cluster analysis , level set method , image (mathematics) , face (sociological concept) , boundary (topology) , fuzzy logic , mathematics , mathematical analysis , social science , sociology

Image segmentation is a growing field and it has been successfully applied in various fields such as medical imaging, face recognition, etc. In this paper, we propose a method for image segmentation that combines a region based artificial intelligence technique named fuzzy c-means (FCM) and a boundary based mathematical modeling technique level set method (LSM). In the proposed method, the contour of the image is obtained by FCM method which serves as initial contour for LSM Method. The final segmentation is achieved using LSM which uses signed pressure force (spf) function for active control of contour.

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