An Efficient Design of Blood Vessel Image Extraction Using LBP Technique

G., Somasekhar and Dr. O., Obulesu and Appala naidu, Dr. P. and Kumar Yarava, Dr.Rokesh (2021) An Efficient Design of Blood Vessel Image Extraction Using LBP Technique. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: blood vessel image extraction classifier technique image segmentations histogram equalization local binary pattern (lbp)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 11 Jun 2021 08:07
Last Modified: 11 Jun 2021 08:07
URI: https://eprints.eudl.eu/id/eprint/3957

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