Wing, Christopher Hong Ngau and Ang, Li-Minn and Kah, Phooi Seng (2009) Salient region detection using contrast-based saliency and watershed segmentation. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

Salient region detection is useful for many applications such as image segmentation, compression, image retrieval, object tracking, and machine vision systems.In this paper, an approach to detect salient regions in a visual scene using contrast-based saliency and watershed segmentation is presented.The approach allows salient objects to be detected and extracted for analysis while preserving the actual boundaries of the salient objects. The approach can be executed in parallel making it efficient for real time applications.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Region Detection, Saliency, Watershed segmentation.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	02 Apr 2015 02:19
Last Modified:	02 Apr 2015 02:19
URI:	https://repo.uum.edu.my/id/eprint/13528

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