TY - GEN
T1 - Edge Preserving Region Growing for Aerial Color Image Segmentation
AU - Subudhi, Badri Narayan
AU - Patwa, Ishan
AU - Ghosh, Ashish
AU - Cho, Sung Bae
PY - 2015
Y1 - 2015
N2 - Many image segmentation techniques are available in the literature. One of the most popular techniques is region growing. Research on region growing, however, has focused primarily on the design of feature extraction and on growing and merging criterion. Most of these methods have an inherent dependence on the order in which the points and regions are examined. This weakness implies that a desired segmented result is sensitive to the selection of the initial growing points and prone to over-segmentation. This paper presents a novel framework for avoiding anomalies like over-segmentation. In this article, we have proposed an edge preserving segmentation technique for segmenting aerial images. The approach implicates the preservation of edges prior to segmentation of images, thereby detecting even the feeble discontinuities. The proposed scheme is tested on two challenging aerial images. Its effectiveness is provided by comparing its results with those of the state-of-the-art techniques and the results are found to be better.
AB - Many image segmentation techniques are available in the literature. One of the most popular techniques is region growing. Research on region growing, however, has focused primarily on the design of feature extraction and on growing and merging criterion. Most of these methods have an inherent dependence on the order in which the points and regions are examined. This weakness implies that a desired segmented result is sensitive to the selection of the initial growing points and prone to over-segmentation. This paper presents a novel framework for avoiding anomalies like over-segmentation. In this article, we have proposed an edge preserving segmentation technique for segmenting aerial images. The approach implicates the preservation of edges prior to segmentation of images, thereby detecting even the feeble discontinuities. The proposed scheme is tested on two challenging aerial images. Its effectiveness is provided by comparing its results with those of the state-of-the-art techniques and the results are found to be better.
UR - http://www.scopus.com/inward/record.url?scp=84906871939&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906871939&partnerID=8YFLogxK
U2 - 10.1007/978-81-322-2009-1_54
DO - 10.1007/978-81-322-2009-1_54
M3 - Conference contribution
AN - SCOPUS:84906871939
SN - 9788132220084
T3 - Advances in Intelligent Systems and Computing
SP - 481
EP - 488
BT - Intelligent Computing, Communication and Devices - Proceedings of ICCD 2014
PB - Springer Verlag
T2 - 1st International Conference on Intelligent Computing, Communication and Devices, ICCD 2014
Y2 - 18 April 2014 through 19 April 2014
ER -