Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

18

3DPVT
2002
IEEE

favoriteEmaildiscussreport

207views Visualization» more 3DPVT 2002»

Content-Based Image Retrieval from Large Medical Databases

13 years 9 months ago

Content-Based Image Retrieval from Large Medical Databases

Download cobweb.ecn.purdue.edu

The main goal of content based image retrieval is to e ciently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retrieval from large medical databases, outline the problems speci c in this area and describe the recent advances in the eld. We will also present some of the more signi cant results obtained withASSERT(AutomaticSearch and Selection Engine with Retrieval Tools), the content based image retrieval system developed in our laboratory.

Avi Kak, Christina Pavlopoulou

Real-time Traffic

3DPVT 2002 | Content Based Image Retrieval | Content Based Image Retrieval System | Query Image | Visualization |

claim paper

Related Content

» Using Human Perceptual Categories for ContentBased Retrieval from a Medical Image Database

» ContentBased Image Retrieval Using Shape and Depth from an Engineering Database

» A Tool for ContentBased Image Retrieval in ObjectOriented Databases

» ContentBased and Metadata Retrieval in Medical Image Database

» Affinity Hybrid Tree An Indexing Technique for ContentBased Image Retrieval in Multimedia ...

» ContentBased Queries on the CasImage Database Within the IRMA Framework

» Relevance Feedback and Term Weighting Schemes for ContentBased Image Retrieval

» ContentBased Image Retrieval for Digital Forensics

» Qcluster Relevance Feedback Using Adaptive Clustering for ContentBased Image Retrieval

Post Info
More Details (n/a)

Added	14 Jul 2010
Updated	14 Jul 2010
Type	Conference
Year	2002
Where	3DPVT
Authors	Avi Kak, Christina Pavlopoulou

Comments (0)