An Efficient Boundary Detection and Image Segmentation Method Based on Perceptual Organization

International Journal of ComputerTrends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-7 Number-1                          
Year of Publication : 2014
Authors : Ch.Sambasivarao , V. Naganjaneyulu.
DOI :  10.14445/22312803/IJCTT-V7P122



         Ch.Sambasivarao , V. Naganjaneyulu. Article: An Efficient Boundary Detection and Image Segmentation Method Based on Perceptual Organization. International Journal of Computer Trends and Technology (IJCTT) 7(1):40-46, January 2014. Published by Seventh Sense Research Group.

In this paper, we presents a novel method for detecting the boundaries of the object in outdoor images by using most common properties of the images such as perceptual organization laws. Here the proposed segmentation scheme is based on perceptual organization and background recognition. This paper mainly concentrates to recognize the structurally challenging objects, which is generally combination of several constituent parts. Our new proposed method based on perceptual organization model can efficiently recognize the non-accidental relationships, which are perfectly structured from the constituent parts of the strictly structured objects. The simulation results of this paper show that the efficient and accurate image segmentation by using perceptual organization models.

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Keywords Energy function, image segmentation, perceptual organization.