Sanjay Kumar; Santosh Kumar Ray; Peeyush Tewari

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

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Author(s)

Sanjay Kumar ^1,* Santosh Kumar Ray ¹ Peeyush Tewari ²

1. Department of Computer Science & Engineering, Birla Institute of Technology, Mesra (Ranchi), International Centre Muscat, Sultanate of Oman

2. Sciences and Mathematics Department, Birla Institute of Technology, Mesra (Ranchi), International Centre Ras Al Khaimah, United Arab Emirates

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.06.01

Received: 2 Mar. 2012 / Revised: 29 Mar. 2012 / Accepted: 8 Jun. 2012 / Published: 8 Jul. 2012

Index Terms

Image Segmentation, Fuzzy c-means, Level set method

Abstract

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.

Cite This Paper

Sanjay Kumar,Santosh Kumar Ray,Peeyush Tewari,"A Hybrid Approach for Image Segmentation Using Fuzzy Clustering and Level Set Method", IJIGSP, vol.4, no.6, pp.1-7, 2012. DOI: 10.5815/ijigsp.2012.06.01

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International Journal of Image, Graphics and Signal Processing (IJIGSP)