摘要
茶叶的色泽是评定茶叶等级的一个重要指标。通过计算机分析茶叶样本图像的茶叶色泽,可以不受人为因素的干扰,客观评定茶叶等级。为此,介绍了色度空间与基于小波的图像增强算法,并将二者结合,用来分析茶叶色泽,评定茶叶等级。与传统方法比较,此方法在人眼视觉对亮度和颜色不同的敏感特性方面具有明显的优越性。
Chroma space and image enhancement algorithm based on wavelet were proposed, and combine the wo, which used for analyzing the tea color and luster and evaluating the grade of the tea. In the aspect of sensitive characteristic to the luminance of human eye vision for different color, the result provided by this method was better than that provided by classical clustering methods.
出处
《农机化研究》
北大核心
2006年第4期195-198,共4页
Journal of Agricultural Mechanization Research
关键词
农艺学
茶叶
应用
小波
色度空间
图像增强算法
agronomy
tea
application
wavelet
chroma space
image enhancement algorithm