Title :
A scalable integrated region-based image retrieval system
Author :
Du, Yunping ; Wang, James Z.
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958943
