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10 July 2009 Preserved fruit image classification using visual contents of images
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Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890U (2009) https://doi.org/10.1117/12.836662
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Muwei Jian, Chaoqin Zhang, Lei Liu, and Cheng Yin "Preserved fruit image classification using visual contents of images", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890U (10 July 2009); https://doi.org/10.1117/12.836662
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