The design and analysis of spatial data structures
The design and analysis of spatial data structures
ACM Computing Surveys (CSUR)
Increasing retrieval efficiency by index tree adaptation
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Adapting indexing trees to data distribution in feature spaces
Computer Vision and Image Understanding
Hi-index | 0.00 |
Fast retrieval using organ shapes is crucial in medical image databases since shape is a clinically prominent feature. In this paper, we propose that 2-D shapes in medical image databases can be indexed by embedding them into a vector space and using efficient vector space indexing. An optimal shape space embedding is proposed for this purpose. Experimental results of indexing vertebral shapes in the NHANES II database are presented. The results show that vector space indexing following embedding gives superior performance than metric indexing.