Chinese wine classification system based on micrograph using combination of shape and structure features

摘要：

Chinese wines can be classification or graded by the micrographs. Micrographs of Chinese wines show floccules, stick and granule of variant shape and size. Different wines have variant microstructure and micrographs, we study the classification of Chinese wines based on the micrographs. Shape and structure of wines particles in microstructure is the most important feature for recognition and classification of wines. So we introduce a feature extraction method which can describe the structure and region shape of micrograph efficiently. First, the micrographs are enhanced using total variation denoising, and segmented using a modified Otsus method based on the Rayleigh Distribution. Then features are extracted using proposed method in the paper based on area, perimeter and traditional shape feature. Eight kinds total 26 features are selected. Finally, Chinese wine classification system based on micrograph using combination of shape and structure features and BP neural network have been presented. We compare the recognition results for different choices of features (traditional shape features or proposed features). The experimental results show that the better classification rate have been achieved using the combinational features proposed in this paper.

关键词： Chinese wines classification microstructure micrograph feature extraction shape and structure denoising modified Otsus method BP neural network combinational features

作者: YiWan

作者单位: Dept. of Electronic Engineering, Sichuan University of Science & Engineering,Zigong, Sichuan, P. R. China, 643000

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 391-395

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）