9 June 2016 Effective target binarization method for linear timed address-event vision system
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jiangtao Xu, Jiangtao Xu, Jiawei Zou, Jiawei Zou, Shi Yan, Shi Yan, Zhiyuan Gao, Zhiyuan Gao, } "Effective target binarization method for linear timed address-event vision system," Optical Engineering 55(6), 063103 (9 June 2016). https://doi.org/10.1117/1.OE.55.6.063103 . Submission:

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