20 January 2006 An efficient approach to segment man-made target from thermal image
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Proceedings Volume 6027, ICO20: Optical Information Processing; 60271H (2006) https://doi.org/10.1117/12.667956
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
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.
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Changjiang Zhang, Changjiang Zhang, Xiadong Wang, Xiadong Wang, Haoran Zhang, Haoran Zhang, Huajun Feng, Huajun Feng, } "An efficient approach to segment man-made target from thermal image", Proc. SPIE 6027, ICO20: Optical Information Processing, 60271H (20 January 2006); doi: 10.1117/12.667956; https://doi.org/10.1117/12.667956
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