V.Shalini , P. Subbulakshmi, Sri Sakthi Institute Of Engineering and Technology,Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.01.06
International Journal of Advanced Information and Communication Technology
Received On : April 07, 2014
Revised On : May 10, 2014
Accepted On : June 16, 2014
Published On : July 05, 2014
Volume 02, Issue 03
Pages : 053-058
Abstract
In this paper we present an segmentation technique which uses super pixels as the basic unit of operation. The image is first converted into a super pixel image. Then the rules framed by Gestalt based on study of cognitive science are used to extract the features of image such as texture, edges and spatial information. The rule of locality determines the neighboring pixels. The rule of proximity group pixels of same brightness. The rule of consistency is used to identify the boundary for the pixels to be merged. The image is first split using region splitting. Then it is merged in two stages, first abrasively and then finely. In the first stage the pixels within a super pixel are merged and in second stage the pixels along the boundary are merged. The goal of this paper is to obtain segmentation with accuracy.
Keywords
Synthetic Aperture Radar, Image Segmentation Region Splitting, Region Merging.
Cite this article
M. Aswathi Mohan, M. Ramkumar Raja, “A Region Splitting and Hierarchical Unequal Merging Algorithm for Segmentation of SAR Images” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.059-062, July 05, 2014.
Copyright
© 2014 V.Shalini, P. Subbulakshmi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.