Ten lectures on wavelets
Communications of the ACM
IRM: integrated region matching for image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Medical Image Databases
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
A semantic content-based retrieval method for histopathology images
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
| Hi-index | 0.00 |
Searching digital biomedical images is a challenges problem. Prevalent retrieval techniques involve human-supplied text annotations to describe image contents. Biomedical images, such as pathology slides, usually have higher resolution than general-purpose pictures, making it additionally difficut to index. Precise object segmentation is also extremely difficult and is still an open problem. We are developing a multiresolution region-based retreival system for high-resolution biomedical image databases. The system, based on wavelets, the IRM (Integrated Region Matching) distance, and image classification, is highly robust to inacurate image segmentation and various visual alterations. Tested on a database of more than 70,000 pathology image fragments, the system has demonstrated high accuracy and fast speed.