Rice Edges Detection Based on Canny Operator

Yue Jing Qian; Yuan Fan

doi:10.4028/www.scientific.net/AMR.542-543.1302

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543Rice Edges Detection Based on Canny Operator

Rice Edges Detection Based on Canny Operator

Abstract:

Rice edge detection is the first step on obtaining rice image feature. In this paper, an improved Canny edge detection algorithm was represented to obtain thin and robust rice edges. Firstly, nonlinear diffusion filter was used to wipe of noise efficiently and kept the edge information of the image. Secondly, gradient calculation of pixel diagonal direction was considered in the calculation of neighborhood gradient amplitude which further repressed the impact of noise. Thirdly, using average interclass variance could self-adaptively calculate the double thresholds for different images. The results of the experiment indicate that the improved algorithm has a better accuracy and precision in the edge detection.

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Periodical:

Advanced Materials Research (Volumes 542-543)

Pages:

1302-1305

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.1302

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Online since:

June 2012

Authors:

Yue Jing Qian, Yuan Fan

Keywords:

Canny Operator, Nonlinear Diffusion, Rice Edge-Detection, Threshold

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