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2012 | OriginalPaper | Chapter

An Effective and Efficient Perceptual Organization Method for Image Segmentation

Authors : Yingjian Qi, Xu Yang

Published in: Advances in Automation and Robotics, Vol.1

Publisher: Springer Berlin Heidelberg

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Existing approaches of perceptual organization are either less effective or less efficient. Here, we propose an effective and efficient perceptual organization method for image segmentation. The method is characterized by following: Firstly, Region Adjacency Graph (RAG) representation is adopted in the method, which reduces the computation complexity suffered by previous organization methods. Secondly, region-wise global weights are defined in RAG by utilizing global optimization criterion, which increases the effectiveness of our proposed organization method. Segmentation results validate the efficiency and effectiveness of the proposed organization method for image segmentation.

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Metadata
Title
An Effective and Efficient Perceptual Organization Method for Image Segmentation
Authors
Yingjian Qi
Xu Yang
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-25553-3_77