Images Rapid Recognition of Potatoes under Soil Background

Abstract:

A new method for quick identification of images of mature potatoes under the soil background is reported in this thesis. Firstly, the segmentation problem in multidimensional space is transformed into one dimensional space by transforming the color image to gray image. Then, the optimum threshold is obtained on the base of the Otsu threshold segmental method. Lastly, the image is identified by the improved algorithm, which is based on the ABS algorithm. The merits of this algorithm are that it is simple with highly efficient identification. Experimental results show that the method can avoid interference of clods completely and identify potatoes from the soil background effectively.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 1418-1422
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.1418
• Online since: September 2013
• Authors: Teng Teng Zhang, Jun Zhang, Teng Fei Sun
• Keywords: Complex Background, Image Processing, Pattern Recognition, Threshold Segmentation

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