Fuzzy active contours based SAR image segmentation

Author

Javed, U. ; Riaz, M.M. ; Ghafoor, Abdul ; Cheema, T.A.

Author_Institution

Fac. of Eng. & Technol., Int. Islamic Univ., Islamabad, Pakistan

fYear

2013

fDate

12-15 Nov. 2013

Firstpage

17

Lastpage

21

Abstract

A fuzzy logic and active contour model based image segmentation for synthetic aperture radar images is proposed. Fuzzy inference engine is used to assign weights to pixels of the level set function based on local entropy and local variance. Higher weights are assigned to pixels having less local entropy and less local variance. Simulation show that the proposed scheme improves the segmentation results in terms of efficiency and accuracy.

Keywords

entropy; fuzzy logic; fuzzy reasoning; image segmentation; synthetic aperture radar; SAR image segmentation; active contour model based image segmentation; fuzzy active contours; fuzzy inference engine; fuzzy logic; level set function; local entropy; local variance; pixels; synthetic aperture radar images; Active contours; Entropy; Fuzzy logic; Image edge detection; Image segmentation; Noise; Synthetic aperture radar; Active Contours; Fuzzy Logic; Image Segmentation; Synthetic Aperture Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on

Conference_Location

Naha

Print_ISBN

978-1-4673-6360-0

Type

conf

DOI

10.1109/ISPACS.2013.6704515

Filename

6704515