DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-2993

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-2, Issue-9  ( Sep, 2015 )
Paper Title
Fuzzy Based Dynamic Statistical Region Merging Algorithm For Remote Sensing Image Segmentation
Author Name
Harmanpreet Kaur, Jagdeep Singh Aulakh
Affilition
Department of Electronics and Communication, Department of Electronics and Technology, Amritsar College of Engineering & Technology
Pages
41-46
Abstract
Image segmentation is an essential tool in image processing and can serve being an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. In this paper, we proposed a statistical region growing procedure combined with hierarchical region merging. The region growing step over segments the input radar image, thus enabling region aggregation by employing a combination of the fuzzy logic and Dynamic Statistical Region Merging algorithm for performance improvement. The MATLAB is used as a tool for performing this study. The DSRM using fuzzy logic is used to optimize the results of SRM algorithm. A remote sensing image is used to perform the segmentation process and obtain the results. Keywords - Image segmentation, Statistical Region Merging, Dynamic Statistical Region Merging, Remote Sensing Image.
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