Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Active contours with a novel distribution metric for complex object segmentation

Language

English

Abstract

In this paper, we present the efficient region-based active contours with a novel distribution metric for complex object segmentation problems. Unlike most conventional approaches, we model the regional statistics using probability distribution function and propose a simple but effective distribution metric to drive the active contours. Subsequently, the proposed approach speeds up the segmentation process without initializing the zero level set in terms of a sign distance function (SDF) and re-initializing it periodically during the evolution as used in the traditional methods. Some challenging synthetic and real-world images are utilized to evaluate the proposed segmentation algorithm. The experiments show its promising result in comparison with the existing methods. © 2011 IEEE.

Keywords

Active contours, complex object segmentation, distribution metric, zero level set

Publication Date

2011

Source Publication Title

IEEE ICIP2011: 2011 18th IEEE International Conference on Image Processing

Start Page

3345

End Page

3348

Conference Location

Brussels, Belgium

Publisher

IEEE

DOI

10.1109/ICIP.2011.6116389

Link to Publisher's Edition

http://dx.doi.org/10.1109/ICIP.2011.6116389

ISBN (print)

9781457713040

ISBN (electronic)

9781457713026

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