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Proceedings Paper

Self-adaptive segmentation for infrared satellite cloud image
Author(s): Ping Wang; Juntao Xue; Zhengguang Liu; Huanzhu Liu; Guisheng Tang
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Paper Abstract

It is difficult to segment cloud images because of the complicated and various shapes and blurry edges of cloud. In this paper, we present an idea and a set of realizable design about self-adaptive segmentation by means of mathematical morphology. Created models can show some characteristics of clouds such as shapes, scales and temperature exactly. Some practices show that the segmentation models are self-adaptive, the program is general and the algorithm is high efficient with the parallel operation.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441493
Show Author Affiliations
Ping Wang, Tianjin Univ. (China)
Juntao Xue, Tianjin Univ. (China)
Zhengguang Liu, Tianjin Univ. (China)
Huanzhu Liu, National Meteorological Ctr. (China)
Guisheng Tang, National Meteorological Ctr. (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition

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