Paper
10 January 2005 Watershed segmentation based on topological descriptor restriction of IR target
Author Affiliations +
Abstract
The watershed algorithm from mathematical morphology is powerful for segmentation and often produces more stable segmentation results, including continuous segmentation boundaries. However, direct application of the watershed segmentation algorithm generally leads to oversegmentation due to noise and other local irregularities of the gradient. Oversegmentation can be serious enough to render the result of the alorithm virtually useless. An approach used to control oversegmentation is based on the concept of markers. A marker is a connected component belonging to an image. In this paper, considering that there are two small but very brighter regions associated with the chimneys of ship, the topological properties of IR ship target can be used to restrict the algorithm. So, we have internal markers, associated with IR ship target, and external markers, associated with the background. Experimental results show that, when the original watershed segmentation has noisy boundaries or wrong limbs attached to the object of interest, the proposed method overcomes those drawbacks and yields a better segmentation.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanli Han "Watershed segmentation based on topological descriptor restriction of IR target", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); https://doi.org/10.1117/12.576118
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing algorithms and systems

Detection and tracking algorithms

Image filtering

Infrared imaging

Binary data

Image visualization

RELATED CONTENT

Adaptive aircraft detection in high-resolution SAR images
Proceedings of SPIE (October 26 2013)
Detecting a small target in an IR image by eliminating...
Proceedings of SPIE (September 25 2003)
Artificial Intelligence For ATRs (Automatic Target Recognizers)
Proceedings of SPIE (September 20 1987)
Fast Hough transform for automatic bridge extraction
Proceedings of SPIE (November 28 2007)
Study of identifying airdrome algorithm in the infrared image
Proceedings of SPIE (November 15 2007)
Using mathematical morphology for document skew estimation
Proceedings of SPIE (December 15 2003)

Back to Top