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Optical Engineering

Effective target binarization method for linear timed address-event vision system
Author(s): Jiangtao Xu; Jiawei Zou; Shi Yan; Zhiyuan Gao
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Paper Abstract

This paper presents an effective target binarization method for a linear timed address-event (TAE) vision system. In the preprocessing phase, TAE data are processed by denoising, thinning, and edge connection methods sequentially to obtain the denoised- and clear-event contours. Then, the object region will be confirmed by an event-pair matching method. Finally, the image open and close operations of morphology methods are introduced to remove the artifacts generated by event-pair mismatching. Several degraded images were processed by our method and some traditional binarization methods, and the experimental results are provided. As compared with other methods, the proposed method performs efficiently on extracting the target region and gets satisfactory binarization results from object images with low-contrast and nonuniform illumination.

Paper Details

Date Published: 9 June 2016
PDF: 10 pages
Opt. Eng. 55(6) 063103 doi: 10.1117/1.OE.55.6.063103
Published in: Optical Engineering Volume 55, Issue 6
Show Author Affiliations
Jiangtao Xu, Tianjin Univ. (China)
Jiawei Zou, Tianjin Univ. (China)
Shi Yan, Tianjin Univ. (China)
Zhiyuan Gao, Tianjin Univ. (China)


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