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Neural Computing and Applications

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29-05-2017 | Original Article

Self-organizing neural networks for image segmentation based on multiphase active contour

Authors: M. Sridevi, C. Mala

Published in: Neural Computing and Applications | Special Issue 2/2019

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Abstract

Image segmentation is a process of segregating foreground object from background object in an image. This paper proposes a method to perform image segmentation for the color and textured images with a two-step approach. In the first step, self-organizing neurons based on neural networks are used for clustering the input image, and in the second step, multiphase active contour model is used to get various segments of an image. The contours are initialized in the active contour model with the help of the self-organizing maps obtained as a result of first step. From the results, it is inferred that the proposed method provides better segmentation result for all types of images.

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Title: Self-organizing neural networks for image segmentation based on multiphase active contour
Authors: M. Sridevi
C. Mala
Publication date: 29-05-2017
Publisher: Springer London
Published in: Neural Computing and Applications / Issue Special Issue 2/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-017-3045-1

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