以混合算法建立宽带多光谱色彩表示空间

¹ 华中科技大学计算机科学与技术学院,武汉市珞喻路,430074;² 武汉大学印刷与包装系,武汉市珞喻路129号,430079;³ 深圳职业技术学院,深圳市西丽湖,518055;⁴ 武汉工程大学电气信息学院,武汉市卓刀泉路366号,430070

基金项目: 国家自然科学基金资助项目(60177005)

详细信息

Modified Multi-spectral Space for Color Representation Based on Hybrid Algorithm

¹ School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China; ² Department of Printing and Packaging,Wuhan University,129 Luoyu Road,Wuhan 430079,China; ³ Shenzhen Polytech.,Xili Lake,Shenzhen 518055,China;⁴ School of Electrical Engineering,Wuhan Institute of Chemical Industry,366 Zhuodaoquan Road,Wuhan 430074,China

Funds: 国家自然科学基金资助项目(60177005)

摘要: 对整个原始光谱集进行基于自组织映射的聚类分析,以集群内光谱的平均值分布代替该集群,从而实现在对光谱分布的尖峰值平滑的同时实现原始光谱集的第一次压缩,并对压缩后的光谱集进行主成分分析,以提取的光谱主成分分量作为基张成宽带多光谱空间。
- 聚类分析 /
- 主成分分析 /
- 色彩表示 /
- 宽带多光谱空间
Abstract: On the basis of the hybrid algorithm constructed by cluster analysis and principal component analysis a newer multi-spectral space for color representation is developed.When cluster analysis applied using self-organized mapping the spectral distributions in each cluster are substituted by the mean distribution of those in the corresponding cluster.Further,principal component analysis is implemented on the compressed spectra set.Using the eigen spectral distributions as base to spanning the wide-band multi-spectral space for color representation.Results of experiments show that this newer multi-spectral space can represent and reconstruct the spectral distribution of the original color in a high accuracy.
- cluster analysis /
- principal component analysis /
- color representation /
- wide-band multi-spectral space