A scalable integrated region-based image retrieval system

Author

Du, Yunping ; Wang, James Z.

Author_Institution

Pennsylvania State Univ., University Park, PA, USA

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

22

Abstract

We present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (integrated region matching), a measure developed to evaluate overall similarity between images. It incorporates properties of all the regions in the images by a region-matching scheme. The algorithm has been implemented as a part of our experimental SIMPLIcity (Semantics-sensitive Integrated Matching for Picture LIbraries) image retrieval system and tested on large-scale image databases of both general-purpose images and pathology slides. Experiments have demonstrated that this technique maintains the accuracy of the original system while reducing the matching time significantly

Keywords

content-based retrieval; feature extraction; image classification; image matching; image retrieval; image segmentation; pattern clustering; statistical analysis; visual databases; SIMPLIcity system; content-based retrieval; general-purpose images; image indexing; image matching; image retrieval; image segmentation; image similarity; integrated region matching; large-scale image databases; pathology slides; region segmentation; scalable algorithm; statistical clustering; Clustering algorithms; Image databases; Image retrieval; Image segmentation; Indexing; Information retrieval; Large scale integration; Libraries; Pathology; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958943

Filename

958943