Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane

Abstract:

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An automatic identification method for the cane-end of sugarcane based on digital image processing is given considering the characteristic of the cane-end of sugarcane. An image processing method with Visual C++ is used in the dynamic acquisition and jitter procedure, and identifying the cane-end automatically. The identification system of the cane-end of sugarcane consists of the image acquisition unit, the image processing unit, the identification and control unit. After the digital image of a cane-end is collected, the identification system locates the edge between the cane-end and the body of the sugarcane immediately and automatically via image processing and identification, providing the location information of the cane-end for the following mechanical cane-end cutting method. This system can massively improve the productivity of the cane-end cutting mechanism in a sugarcane harvester.

Info:

Periodical:

Edited by:

Jun Hu and Qi Luo

Pages:

631-635

DOI:

10.4028/www.scientific.net/AMR.320.631

Citation:

D. Q. He et al., "Research on Intelligent Cane-End Cutting Based on Image Processing for Sugarcane", Advanced Materials Research, Vol. 320, pp. 631-635, 2011

Online since:

August 2011

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Price:

$35.00

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