An automatic seed selection in infrared image based on mountain clustering

Tao Li; Jian Liu; Kaibin Lei

doi:10.1117/12.832751

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30 October 2009 An automatic seed selection in infrared image based on mountain clustering

Tao Li, Jian Liu, Kaibin Lei

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Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74941W (2009) https://doi.org/10.1117/12.832751
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

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Tao Li, Jian Liu, and Kaibin Lei "An automatic seed selection in infrared image based on mountain clustering", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941W (30 October 2009); https://doi.org/10.1117/12.832751

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