计算机科学 ›› 2010, Vol. 37 ›› Issue (2): 256-260.

• 图形图像及体系结构 • 上一篇    下一篇

一种基于边缘综合特征的彩色图像检索算法

杨芳宇,王向阳   

  1. (辽宁师范大学计算机与信息技术学院 大连116029);(南京大学计算机软件新技术国家重点实验室 南京210093)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金(60773031,60873222),计算机软件新技术国家重点实验室(南京大学)开放基金(A200702),视觉与听觉信息处理国家重点实验室(北京大学)开放基金(05-03)资助。

Color Image Retrieval Based on Multiple Features of Image Edges

YANG Fang-yu,WANG Xiang-yang   

  • Online:2018-12-01 Published:2018-12-01

摘要: 图像边缘是重要的视觉感知信息,也是图像最基本的特征之一,其在图像分析和理解中有重要价值。以视觉重要的图像边缘轮廓为基础,提出了一种基于边缘综合特征的彩色图像检索新算法。该算法首先利用Canny检测算子提取出原始图像的彩色边缘轮廓;然后构造出能全面反映边缘轮廓内容的两种直方图(边缘颜色直方图和边缘方向直方图);最后综合利用上述两种边缘直方图计算图像间的内容相似度,并进行彩色图像检索。仿真实验表明,该算法能够准确和高效地查找出用户所需内容的彩色图像,并且具有较好的查准率和查全率。

关键词: 图像检索,边缘轮廓,颜色直方图,方向直方图

Abstract: An image edge is the boundary between an object and the background, and indicates the boundary between overlapping objects. The image edges are the important clue to understand image content for they can mark the locations of discontinuities in depth, surface orientation, or reflectance. An edgcbased color image retrieval by using multiple fcatures was proposed. Firstly,the color edge was extracted by using canny detection operator. Secondly, color histogram and direction histogram about the extracted color edge image were computed as image features. Finally, the similarity between color images was computed by using a combined feature index based on two kinds of histograms. Experimental results show that the proposed image retrieval is more accurate and efficient in retrieving the user-interested images.

Key words: Image retrieval, Image edge, Color histogram, Direction histogram

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!