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Proceedings Paper

An automatic seed selection in infrared image based on mountain clustering
Author(s): Tao Li; Jian Liu; Kaibin Lei
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Paper Abstract

Because of noise and clutter, the infrared target detection even becomes more difficult. In this paper, we present an automatic seed selection method based on an improved mountain cluster algorithm to be employed in infrared target segmentation. The original image was projected to x and y coordination firstly. Then the modified mountain clustering algorithm is employed on the projection data to obtain the cluster center which is applied as the seed point for region growing. This approach has been performed on a field infrared image. The experimental results show that the proposed method can provide satisfactory segmentation result.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941W (30 October 2009); doi: 10.1117/12.832751
Show Author Affiliations
Tao Li, Southwest Univ. for Nationalities (China)
Jian Liu, Huazhong Univ. of Science and Technology (China)
Kaibin Lei, Southwest Univ. for Nationalities (China)

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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