Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

An Efficient Design of Blood Vessel Image Extraction Using LBP Technique

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  • @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
Somasekhar G.1,*, Obulesu Dr. O.2, Dr. P. Appala naidu3, Dr.Rokesh Kumar Yarava4
  • 1: Associate Professor, Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, Telangana-501401
  • 2: Associate Professor, Department of IT, G.Narayanamma Institute of Technology & Science (Autonomous), Hyderabad, Telangana-500104
  • 3: Associate Professor of CSE, Raghu Engineering College, Dakamarri (V), Bheemunipatnam (M), Visakhapatnam (Dt), A.P.-531162
  • 4: Yarava, Associate Professor, Department of CSE, Chalapathi Institute of Engineering and Technology(A), Guntur,A.P.-522006
*Contact email: giddalurisomasekhar@gmail.com

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.