A Two Tier Approach For Content Based Microscopic Image Retrieval System

Image retrieval is an active research area in image processing, pattern recognition, and computer vision. In this project, a multi-tiered CBIR system for microscopic images utilizing a reference database that contains images of more than one disease is described. This system enables both multi image query and slide level image retrieval in order to protect the semantic consistency among the retrieved images. To improve the performance, the proposed system uses z-score normalization and non achieves high accuracy and reduces the processing time greatly. It provides better performance for all type of images that have inter- and intra- reading semantic variations, intra similarities