Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (27): 158-160.

• 数据库与信息处理 • Previous Articles     Next Articles

Color histogram image retrieval based on spatial and neighboring information

YANG Jun1,WANG Ji-cheng1,LIU Ran2   

  1. 1.Department of Computer Science,Tongji University,Shanghai 201804,China
    2.School of Computer Science,Chongqing University,Chongqing 400044,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-21 Published:2007-09-21
  • Contact: YANG Jun

融合空间及邻域信息的色彩直方图检索方法

杨 珺1,王继成1,刘 然2   

  1. 1.同济大学 计算机系,上海 201804
    2.重庆大学 计算机学院,重庆 400044
  • 通讯作者: 杨 珺

Abstract: 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.

Key words: Content-Based Image Retrieval(CBIR), color histogram, spatial information

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。

关键词: 基于内容的图像检索, 色彩直方图, 空间信息