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Proceedings Paper

Signal area extraction in range-gated images using average gray value information
Author(s): Guohua Wang; Xinwei Wang; Yan Zhou; Yuliang Liu
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Paper Abstract

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.

Paper Details

Date Published: 20 August 2011
PDF: 6 pages
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 (20 August 2011); doi: 10.1117/12.900222
Show Author Affiliations
Guohua Wang, Institute of Semiconductors (China)
Xinwei Wang, Institute of Semiconductors (China)
Yan Zhou, Institute of Semiconductors (China)
Yuliang Liu, Institute of Semiconductors (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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