期刊论文

Study on hyperspectral image technology based on manifold fuzzy clustering for pork quality classification

中文

食品安全质量检测学报

2095-0381

2015

4

1421-1428

10.19812/j.cnki.jfsq11-5956/ts.2015.04.061

湖北省教育厅科学技术研究项目 Supported by the Project of Hubei Ministry of Education Fund

本校为第一机构

目的以基于高光谱图像技术的冷鲜肉、解冻肉和变质肉的分类为研究对象,针对特征维数过高的问题,构建了一种基于流形模糊聚类算法的分类模型。方法首先采用二维Gabor小波变换分别提取反应猪肉滴水损失、p H、颜色三种品质指标的14个特征波长下图像的8个纹理特征,组成一个112维的特征变量作为猪肉品质的特征;然后采用基于等距映射降维的模糊C均值聚类算法来构建猪肉品质分类模型。结果通过猪肉品质分类实验得出,二维Gabor小波变换能较好地提取猪肉的纹理特征;与传统模糊C均值聚类算法相比,基于等距映射降维的模糊C均值聚类算法能较好地解决高维样本聚类问题,能准确地区分冷鲜肉、解冻肉和变质肉。...

ABSTRACT:Objective The classification of fresh chilled meat, frozen-thawed meat and spoiled meat based on the hyperspectral image technology as research object, and aiming at the problem of high feature dimension, a classification model based on manifold fuzzy clustering algorithm was established.Methods The 2D Gabor wavelet transform was used to extract the 8 texture features of image respectively under 14 characteristic wavelengths reflecting 3 kinds of quality index: drip loss, pH and color and thus forms a 112-dimensional feature variables as the feature of pork quality. Then the pork qual...