@inproceedings{7db788e6bd9f42b49f90181ce42446b4,
title = "Scene image segmentation based on Perceptual Organization",
abstract = "We propose a novel scene image segmentation algorithm based on Perceptual Organization. We develop a Perceptual Organization model by quantitatively incorporating a list of Gestalt laws. The Perceptual Organization model can capture the non-accidental structural relations among the constituent parts of an object. The experimental results show that our proposed method outperformed two competing image segmentation approaches and achieved good segmentation quality on various natural scene environments.",
keywords = "Boundary detection, Boundary energy, Image segmentation, Perceptual organization",
author = "Chang Cheng and Andreas Koschan and Page, {David L.} and Abidi, {Mongi A.}",
year = "2009",
doi = "10.1109/ICIP.2009.5414627",
language = "English",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1801--1804",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}