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Proceedings Paper

Fast watershed aided by target detection
Author(s): Huibao Lin; Jennie Si; Glen P. Abousleman
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Paper Abstract

The Watershed algorithm has been studied extensively, and has been applied to image segmentation due to its accuracy and robustness. However, the watershed requires a large amount of memory, and is computationally intractable for segmenting large images. In this paper, we introduce a novel hierarchical region-of-interest (ROI) detection scheme, which is used as a prelude to segmentation. With the help of the detection algorithm, watershed segmentation can be applied to the small detected regions, rather than to the entire image. Therefore, it can process large images by selectively segmenting ROIs. We focus on our new ROI detection algorithm, and how it is integrated into a system for large-image segmentation. We demonstrate the efficiency of the proposed scheme by processing a variety of images.

Paper Details

Date Published: 7 June 2002
PDF: 12 pages
Proc. SPIE 4735, Hybrid Image and Signal Processing VIII, (7 June 2002); doi: 10.1117/12.470102
Show Author Affiliations
Huibao Lin, Arizona State Univ. (United States)
Jennie Si, Arizona State Univ. (United States)
Glen P. Abousleman, General Dynamics Decision Systems (United States)


Published in SPIE Proceedings Vol. 4735:
Hybrid Image and Signal Processing VIII
David P. Casasent; Andrew G. Tescher, Editor(s)

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