基于矢量量化的颜色图像检索方法

摘 要：针对颜色空间量化和直方图检索存在的问题，提出一种新的颜色图像检索方法。该方法通过对颜色空间进行矢量量化，使量化结果更接近人的感知；在提取分块主颜色基础上引入颜色转移矩阵，以描述颜色的空间分布情况；并将索引直方图和颜色转移矩阵两种颜色特征相结合，对图像整体和局部感兴趣区域赋以不同的权值，使局部图像特征矢量增强，从而提高检索精度。实验表明，该方法能较有效的提高检索效率。

Color Image Retrieval Method Based on Vector Quantization

Abstract A new color image retrieval method is put forward for the problems existing in color space vector and histogram retrieval. The method makes the quantized results more close to the human perception by quantizing the color space vector; The color transfer matrix is introduced on the basis of extracting the block main color aim at describing the color spatial distribution; The method combines the retrieval characteristics of index histogram with the color transfer matrix, assigns different weights between the whole region and the interested region and enhanced the partial image feature vector, thus the retrieval precision is improved. The simulation results show that this method can improve search efficiency effectively.