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Proceedings Paper

An efficient approach to segment man-made target from thermal image
Author(s): Changjiang Zhang; Xiadong Wang; Haoran Zhang; Huajun Feng
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Paper Abstract

A new fast algorithm to segment man-made target from infrared image is given employing Bezier histogram and edge information. In order to reduce computation burden, an efficient approach to select region of interest (ROI) is proposed based on prior-information. Thus a piece of region, which contains a target to be segmented, is extracted from original image. The gray level histogram of ROI is smoothed by Bezier curve to restrain noise in the ROI. Thus Bezier histogram is obtained. Peaks of curvature curve in the Bezier histogram are detected to obtained segmentation thresholds. An optimal segmentation threshold is selected with a new criterion. The optimal threshold segments the ROI well. In order to obtain better segmentation result, firstly a new algorithm, which bases on discrete stationary wavelet transform and non-linear gain operator is proposed to enhance the detail of target in the ROI. Canny operator is used to extract the edge information of target in the enhanced ROI. Finally, excellent segmentation result is obtained by combining Bezier histogram threshold method with edge information of target. Experimental results show that a man-made target can be segmented effectively from complex background in infrared image by the new algorithm.

Paper Details

Date Published: 20 January 2006
PDF: 7 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60271H (20 January 2006); doi: 10.1117/12.667956
Show Author Affiliations
Changjiang Zhang, Zhejiang Normal Univ. (China)
Xiadong Wang, Zhejiang Normal Univ. (China)
Haoran Zhang, Zhejiang Normal Univ. (China)
Huajun Feng, Zhejiang Normal Univ. (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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