Interval Degree Histogram Image Retrieval Based on the Adjacent Corner
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [8]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    This paper presents a new image retrieval method based on shape, first the image is divided into central and lateral annular two region, adjacent corner interval degree is calculated in the region, the interval is quantified some grades, and thus calculate each image in each region of the adjacent corner interval histogram, the two images of the similarity depends on the corresponding region histogram Euclidean distance. The algorithm has the translation, rotation and scale invariant features, the experiment proves that it has better image retrieval efficiency.

    Reference
    1 Zhang DS, Lu GJ, Review of shape representation and description techniques. Pattern Recognition, 2004,37,1-19.
    2 Kim H, Kim J, Region-based shape descriptor invariant to rotation, scale and translation. Signal Process Image Communication,2000,16,(5):87-93.
    3 周明全,耿国华,韦娜.基于内容图像检索技术.北京:清华大 学出版社,2007.
    4 王涛,刘文印,孙家广.傅立叶描述子识别物体的形状.计算 机研究与发展,2002,39(12):1 714-1719.
    5 陈武凡.小波分析及其在图像处理中的应用.北京:科学出 版社,2002.
    6 Abbasi S, Mokhtarian F, Kittler J. Curvature scale space image in shape similarty retrieval, Multimedia System, 1999,7:467-476.
    7 王建琦,邓雁萍,李介谷.一种改进的角点检测算法.上海交 通大学学报,2004,34(7):913-916.
    8 Sajjanhar A. 2003 Spatial information in histograms for shape representation, Lecture Notes in Computer Science 2690,855-859.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

高勇钢.基于相邻角点间隔度数直方图图像检索.计算机系统应用,2012,21(11):205-207

Copy
Share
Article Metrics
  • Abstract:1572
  • PDF: 2646
  • HTML: 0
  • Cited by: 0
History
  • Received:April 12,2012
  • Revised:May 19,2012
Article QR Code
You are the first991260Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063