小波变换在HSV颜色空间上的图像检索应用研究  

Application of wavelet transform to image retrieval in HSV color space

作　　者：金汉均[1] 曾婷[1] 

机构地区：[1]华中师范大学计算机学院,武汉430079

出　　处：《电子测量技术》2016年第7期106-109,共4页Electronic Measurement Technology

摘　　要：在传统的基于小波变换的图像检索方法中,并没有对HSV颜色空间的不同颜色分量进行小波变换并考虑它们的重要性大小。针对这个问题,提出一种新的在HSV颜色空间中利用小波变换进行图像检索的方法。该方法首先将每张图像由RGB颜色空间转换到HSV颜色空间,然后分别对图像的每个颜色分量(H,S,V)进行小波变换,并用小波系数矩阵的二阶矩表示图像的纹理特征,从而得到图像的特征向量,最后根据三个颜色分量重要性大小合理分配权值,计算查询图像与图像数据库中图像的相似度,得到图像检索结果。实验结果表明,本方法在图像实验数据库中能获得较好的检索效果。In the traditional image retrieval methods based on wavelet transform , the wavelet transform and the importance of the different color components of HSV color space are not considered .For this question ,this paper proposes an new image retrieval method using wavelet transform in HSV color space .Firstly ,each image would be transformed from RGB color space to HSV color space .Then ,each color component（H ,S ,V） of the image is performed by wavelet transform to extract the texture features of the image ,and the feature vector of the image is also obtained .Finally ,calculating the similarity between the retrieved image and each image in database by assigning the weights of three color components reasonably with the importance , and get the retrieval results . The results of experiments show that the algorithm given in this paper can get better retrieval performance .

关 键 词：图像检索 小波变换 HSV颜色空间 特征向量 相似度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]