Fruit edge detection-based gradient vector flow

Jiangsheng Gui; Yibing Ying; Xiuqin Rao

doi:10.1117/12.685990

23 October 2006 Fruit edge detection-based gradient vector flow

Jiangsheng Gui; Yibing Ying; Xiuqin Rao

Author Affiliations +

Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 63810O (2006) https://doi.org/10.1117/12.685990
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

The Gradient Vector Flow (GVF) snake was used for color fruit shape detection, which is proposed by Chengxiang Xu, this snake has two well properties than traditional snake: large capture range and its ability to move into boundary concavities. Indicator and morphological operation before applying GVF snake firstly preprocess the color fruit image. In our experiments, we compared the detection result of this approach to traditional snake and traditional edge operators and it is obvious that the performance of this approach is better; the boundaries detected by GVF snake are thin and smooth, which are very important for fruit size detection and shape classification.

Citation Download Citation

Jiangsheng Gui, Jiangsheng Gui, Yibing Ying, Yibing Ying, Xiuqin Rao, Xiuqin Rao, } "Fruit edge detection-based gradient vector flow", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 63810O (23 October 2006); doi: 10.1117/12.685990; https://doi.org/10.1117/12.685990

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