Image retrieval based on edge representation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Scopus citations


Content-based image retrieval from large collections of images is a challenging task; especially retrieval based on edges. In this paper we present a fast algorithm for image retrieval by sketch or image example. The images in the database are archived in a hash table, where the addresses of the entries in the table are derived from the edge orientations in predefined regions of the images. In the retrieval stage, images that have regions similar to the regions of the query image are retrieved from the hash table and a voting is performed to rank the images according to their similarity to the query. Experimental results show that the algorithm is robust.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
StatePublished - Dec 1 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000


OtherInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


Dive into the research topics of 'Image retrieval based on edge representation'. Together they form a unique fingerprint.

Cite this