EARLY DETECTION OFHIGH BLOOD PRESSURE AND DIABETIC RETINOPATHY ON RETINAL FUNDUS IMAGES USING CBRIR BASED ON LIFTING WAVELETS

We are presenting here a lifting wavelet based CBRIR image retrieval system in which system uses color and texture as features to describe the content of a retinal fundus images. Our contribution is of three directions. First,Lifting wavelets 9/7 for loss y and SPL5/3 for lossless to extract quality structures from arbitrary shaped retinal fundus regions separated from an image to which increases effectiveness of the system.This process is done which is offline before query processing,therefore to result a query our system ensures to searches the whole database images;instead just a number of same type of class of patient images are required to be searched for image similarity. Further,to upgrade the retrieval accuracy of our system,we were use the region based feature extraction of image,with global structures digs out from the images,which are texture using lifting wavelet and HSV color histogram

https://www.ijiert.org/paper-details?paper_id=141154