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Proceedings Paper

Preserved fruit image classification using visual contents of images
Author(s): Muwei Jian; Chaoqin Zhang; Lei Liu; Cheng Yin
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Paper Abstract

Preserved Fruits are one of the famous and traditional Chinese agriculture foods. In this paper, we propose a method that utilizes color and texture features s for Preserved Fruits image classification. We use color moments and subband's statistics of wavelet decomposition as color and texture features respectively. A wide range of Preserved Fruits images are tested to evaluate the performance of the proposed method. The experimental results show that the scheme has produced promising results.

Paper Details

Date Published: 10 July 2009
PDF: 5 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890U (10 July 2009); doi: 10.1117/12.836662
Show Author Affiliations
Muwei Jian, Shandong Univ. at Weihai (China)
Chaoqin Zhang, Zhengzhou Univ. of Light Industry (China)
Lei Liu, Taishan Univ. (China)
Cheng Yin, Shandong Water Polytechnic (China)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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