International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,March 2016,

Topic : A Review on a Novel Approach for Image Segmentation Using Fast Gradient and Nontrivial Transformation

Authors:N.Lakshmi || K.R.Surendra, N.Pushpalatha

Abstract:A comparative analysis to fast multi label color image segmentation using Convex optimization techniques were studied. The presented model is in some ways related to the well-known Mumford–Shah model, but deviates in certain important aspects. The optimization problem has been designed with two goals in mind. It represent fundamental concepts of image segmentation, such as incorporation of weighted curve length and variation of intensity in the segmented regions, while allowing transformation into a convex concave saddle point problem that is computationally inexpensive. The nontrivial transformation of this model into a convex–concave saddle point problem, and the numerical treatment of the problem were studied. By applying an algorithm to various images it shows that the results are competitive in terms of quality at unprecedentedly low computation times. This algorithm allows high-quality segmentation of megapixel images in a few seconds and achieves interactive performance for low resolution images..

Keywords: Unsupervised image segmentation, convex optimization.

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DOI: 01.1617/vol3iss3pid151

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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