基于分块主颜色匹配的图像检索  

Image Retrieval Based on Sub-block Dominant Color Matching

作　　者：林克正[1] 张彩华[1] 刘丕娥[1] 

机构地区：[1]哈尔滨理工大学计算机科学与技术学院,哈尔滨150080

出　　处：《计算机工程》2010年第13期186-188,共3页Computer Engineering

基　　金：黑龙江省教育厅科技基金资助项目(11551087)

摘　　要：针对颜色直方图无法表达颜色空间分布信息的问题,提出一种基于分块主颜色匹配的图像检索算法,对图像进行新的重叠分块,提取各分块的主颜色,将简化的二次式距离计算方法应用到分块主颜色的匹配中,并对图像各个分块的颜色特征采用不同的加权系数。实验结果表明,该算法在保持较高检索精度的同时,能够降低特征空间维度,提高检索性能。In order to solve the problem of lacking the spatial knowledge of color histogram,an approach of image retrieval based on dominant color of partition is presented.It designs overlapped sub-blocks to get the color accumulative histogram in each block.Meanwhile,the reduced quadratic form distance method is applied to decrease arithmetic complexity.The similarity is calculated based on the accumulative histogram of each region.Experimental results show the algorithm can greatly reduce the dimension of color feature,and keep high retrieval precision simultaneity.

关 键 词：图像检索 重叠分块 主颜色提取 相似度匹配 

分 类 号：N945[自然科学总论—系统科学]