基于感兴趣区域多特征加权融合的图像检索算法  

An Image Retrieval Algorithm Based on Weighted Multi-Feature Fusion of Interest Region

作　　者：唐朝霞[1] 章慧[1] 吴海华 

机构地区：[1]淮阴工学院计算机工程学院,江苏淮安223003 [2]扬州大学,江苏扬州225000

出　　处：《微电子学与计算机》2011年第6期205-208,共4页Microelectronics & Computer

基　　金：江苏省教育厅(08KJB520001)

摘　　要：基于内容的图像检索有着广阔的应用前景,但存在检索性能不高的缺点.综合兴趣点和多特征融合的优点,提出一种基于感兴趣区域多特征加权融合的图像检索算法.采用Harris算法提取图像的兴趣点,确定感兴趣区域;再采用累积灰度直方图、共生矩阵和形状不变矩分别提取感兴趣区域的颜色、纹理和形状特征;经归一化后,最后采用距离函数级融合来度量图像的相似度,以检索图像.实验表明,算法有效地提高了图像的检索性能.Content-based image retrieval has broad application prospects,but search efficiency is not high.Based on the advantages of multi-feature fusion and interest points,proposed an Image retrieval algorithm.using Harris algorithm extract interest points,determine Interest Region;then using color histogram,co-occurrence matrix and shape invariant moment extract the color,texture and shape features of interest region;finally using distance function to measure the similarity between images to retrieve the image.Experiments show that this algorithm effectively improves the image retrieval efficiency.

关 键 词：基于内容的图像检索 兴趣点 颜色直方图 共生矩阵 形状不变矩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]