【摘要】 为了降低特征空间的维数,将图像的先验知识融合到采用SVM构造的分类器中,提出了一种新的基于HSV空间的20色非均匀颜色量化算法.与传统的颜色量化算法相比,该算法降低了时间和空间复杂度,提高了检索的准确率,易将图像的先验信息融合到SVM的核函数中,提高了分类效果.实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取.更多还原

【Abstract】 A new 20 color none uniform quantization algorithm based on HSV space was proposed with the purpose of reducing the dimension of feature space and syncretizing the transcendental knowledge into the classification machine constructed by SVM. Comparing with the traditional color quantization algorithms, the complexity of time and space decrease and the retrieval accuracy is improved. The transcendental information can be syncretized into the nucleus function of SVM to improve the effect of classification. Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.更多还原