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Proceedings Paper

A new algorithm for fruit shape classification based on level set
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Paper Abstract

In this research, a new algorithm for fruit shape classification was proposed. The level set representations according to signed distance transforms were used, which are a simple, robust, rich and efficient way to represent shapes. Based on these representations, the rigid transform was adopted to align shapes within the same class, and the simplest possible criterion, the sum of square differences was considered. After align procedure, the average shape representations can easily be derived and shape classification was performed by the nearest neighbor method. Promising results were obtained on experiments showing the efficiency and accurate of our algorithm. Key words: machine vision, shape classification, fruit sorting, level set

Paper Details

Date Published: 2 October 2006
PDF: 8 pages
Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840X (2 October 2006); doi: 10.1117/12.685894
Show Author Affiliations
Jiangsheng Gui, Zhejiang Univ. (China)
Yibin Ying, Zhejiang Univ. (China)
Xiuquin Rao, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 6384:
Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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