摘要
针对直方图无法反映色彩分布的空间信息这一缺陷,提出一种融合了空间及邻域信息的色彩直方图检索方法。以同一色彩构成的最大连通区域及其边缘区域的颜色粗糙度来反映同一颜色像素形成的区域特点及邻域信息,从而降低检索结果对色彩的绝对依赖,提高了检索的准确性。
In order to overcome the defect that the conventional color histogram retrieval method is prone to lose the spatial information of colors,this paper presents a color histogram image retrieval method based on spatial and neighboring information. We use the biggest prominent region＇s area in one color and its neighboring area＇s color roughness to capture the regional traits and its neighboring information.By doing that,the absolute dependence on color can be reduced and the accuracy of the image retrieval can be improved.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第27期158-160,共3页
Computer Engineering and Applications
关键词
基于内容的图像检索
色彩直方图
空间信息
Content-Based Image Retrieval（CBIR ）
color histogram
spatial information
