• Dr. S.ANU H NAIR

This article presents a multiphase fuzzy region competition model that takes into account spatial and frequency information for image segmentation. In the proposed energy functional,each region is represented by a fuzzy membership function and a data fidelity term. It measures the conformity of spatial and frequency data within each region. Gaussian densities parameters are determined jointly with the segmentation process. To efficiently solve the minimization of the energy functional, an alternate minimization procedure is adopted and Chambolle’s fast duality projection algorithm is used. The proposed method is applied to synthetic and natural textures as well as real-world natural images.

Generalized Gaussian density, region competition, segmentation.

"FUZZY BASED IMAGE SEGMENTATION USING SPATIAL/FREQUENCY INFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 12, page no.2304-2308, December-2016, Available :http://www.jetir.org/papers/JETIR1701373.pdf

"FUZZY BASED IMAGE SEGMENTATION USING SPATIAL/FREQUENCY INFORMATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 12, page no. pp2304-2308, December-2016, Available at : http://www.jetir.org/papers/JETIR1701373.pdf