Fast shape retrieval based on shape contexts

Author

Schlosser, Simon ; Beichel, Reinhard

Author_Institution

Dept. of Med. Inf. Technol., Carinthia Univ. of Appl. Sci., Klagenfurt, Austria

fYear

2009

fDate

16-18 Sept. 2009

Firstpage

293

Lastpage

298

Abstract

Object shape is a powerful feature for content-based image retrieval. We propose a new shape contexts-based shape signature for shape retrieval. In terms of computing time, our method outperforms other approaches that calculate point correspondences based on shape contexts for shape retrieval. Consequently, our method is well suited for large databases. We demonstrate the retrieval performance of our approach on ETH-80 and KIMIA-216 data sets.

Keywords

content-based retrieval; image retrieval; very large databases; content-based image retrieval; large database; shape signature; Biomedical engineering; Biomedical imaging; Content based retrieval; Image databases; Image retrieval; Information retrieval; Information technology; Power engineering computing; Shape measurement; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on

Conference_Location

Salzburg

ISSN

1845-5921

Print_ISBN

978-953-184-135-1

Type

conf

DOI

10.1109/ISPA.2009.5297726

Filename

5297726

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2043386