The Design and Implementation of the Rice Lesion Identification System

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Abstract:

This paper proposes a kind of design and implementation method for rice lesion identification system, which includes the hardware structure and lesion recognition application software. This system applies DSP as the core, image coding chip of TVP5147, external cameras, together with the application software to identify the rice lesion. The experiments illustrate the system has better performance.

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915-918

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jianping Fan, David K.Y. Yau. Automatic Image Segmentation By Integrating Color-Edge Extraction AndSeaded Region Growing[M]. IEEE on Image Processing, 2001. 10.

DOI: 10.1109/83.951532

Google Scholar

[2] yu-jin zhang. Evaluation of image segmentation technology classification and comparison[M]. Chinese journal of image and graphics, 1996. 6.

Google Scholar

[3] YanZhiZheng. Using the gaussian mixture model and EM algorithm for color image segmentation[M]. The modern electronic technology, 2005, 20.

Google Scholar

[4] XiaoChaoYun, wei-xing zhu. Based on Otsu guidelines and image entropy threshold segmentation algorithm[M]. Computer engineering, 2007. 7.

Google Scholar

[5] Zhang Qiwen embedded common modules and integrated systems design [M]. Electronic industry press, (2008).

Google Scholar