A new algorithm for fruit shape classification based on level set

Jiangsheng Gui; Yibin Ying; Xiuquin Rao

doi:10.1117/12.685894

2 October 2006 A new algorithm for fruit shape classification based on level set

Jiangsheng Gui, Yibin Ying, Xiuquin Rao

Proceedings Volume 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision; 63840X (2006) https://doi.org/10.1117/12.685894
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

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

Citation Download Citation

Jiangsheng Gui, Yibin Ying, and Xiuquin Rao "A new algorithm for fruit shape classification based on level set", Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840X (2 October 2006); https://doi.org/10.1117/12.685894

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