摘要
在基于内容的图像检索中,颜色作为一种重要的图像视觉信息已得到了广泛的应用,它将图像颜色空间各分量的统计信息用直方图的形式反映了出来,具有简单、明了和抗干扰能力强等特点。提出了一种基于尺度空间理论的直方图定性匹配算法。该算法提取尺度空间中直方图的定性特征,然后根据规定的匹配度量公式得到直方图的匹配度量。实现了由粗到精逐层匹配直方图,逐渐检索到最匹配图像的方法,经实践检验取得了较理想的效果。
In the content-based image retrieval, color, as one of the most important visual information, has been widely used. It reflects the gray scale information of components of the color space in pictures taking the form of histogram, and it has the features of simplicity, perspicuity, and interference resistance. A new algorithm of qualitative matching of histograms based on scale-space theory is put forward. The qualitative feature of each histogram is extracted, and then the matching measurement based on prescriptive formula is obtained. The histograms Of the scale-space are matched from the coarse scale layer to the fine scale layer, and finally, the most matching image is retrieved. The practice has obtained satisfactory resuh.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第11期156-158,221,共4页
Computer Applications and Software
关键词
CBIR
直方图
尺度空间
定性匹配
Content-based image retrieval
Histogram
Scale-space
Qualitative matching
