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19 August 2011 Signal area extraction in range-gated images using average gray value information
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This paper presents a novel algorithm to extract signal area of range-gated images under the EBE effect. Besides the histogram information, this algorithm uses average gray value information to select threshold with iterative processing. With average gray value information, the edges of signal area can be segmented out accurately. The algorithm can handle images under the impact of EBE effect, reduce the noise in the images and segment the objects from the noise area effectively without many morphological operations which keeps the certain figure from distortion. Experiment result shows that the algorithm is effective to the signal areas extraction of images under EBE effect, signal areas can be segmented out accurately.
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Guohua Wang, Xinwei Wang, Yan Zhou, and Yuliang Liu "Signal area extraction in range-gated images using average gray value information", Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81921R (19 August 2011);

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