Research Article
An Efficient Design of Blood Vessel Image Extraction Using LBP Technique
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308564, author={Somasekhar G. and Obulesu Dr. O. and Dr. P. Appala naidu and Dr.Rokesh Kumar Yarava}, title={An Efficient Design of Blood Vessel Image Extraction Using LBP Technique}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={blood vessel image extraction classifier technique image segmentations histogram equalization local binary pattern (lbp)}, doi={10.4108/eai.7-6-2021.2308564} }- Somasekhar G.
Obulesu Dr. O.
Dr. P. Appala naidu
Dr.Rokesh Kumar Yarava
Year: 2021
An Efficient Design of Blood Vessel Image Extraction Using LBP Technique
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308564
Abstract
An efficient architecture of blood vessel image extraction is implemented. This system provides both physiological and behavioral characteristics which give the overview of retina, iris recognition, and face detection. The main intent of this project is to detect and measure the blood vessels present in the retina. This is done by using the classifier technique. By using classifier technique, the accuracy of the system will be increased. Image segmentation is applied to divide the number of cells available in the retina. The LBP technique will extract the features of input retinal images. Image feature extraction using LBP will extract the images which are featured. Imaging Library provides the interpreter with image editing capabilities. Hence this blood vessel image extractiongives effective results and this can be observed from simulation results.