Contrast Enhancement by Top-Hat and Bottom-Hat Transform with Optimal Structuring Element: Application to Retinal Vessel Segmentation

  • Rafsanjany Kushol
  • Md. Hasanul Kabir
  • Md Sirajus Salekin
  • A. B. M. Ashikur Rahman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10317)

Abstract

Automatic detection of the retinal blood vessel can be used in biometric identification, computer assisted laser surgery, and diagnosis of many eye related diseases. Early detection of retinal blood vessel helps people to take proper treatment against diseases such as diabetic retinopathy, hypertension which can significantly reduce possible vision loss. This paper presents an efficient and simple contrast enhancement technique where morphological operations like top-hat and bottom-hat are applied to enhance the image. Edge Content-based contrast matrix is measured for selecting the optimal structuring element size and simple straightforward steps are applied for completely extracting the vessels from the enhanced retinal image. The proposed method acquires an average accuracy rate of 0.9379 and 0.9504 on two publicly available DRIVE and STARE benchmark dataset respectively.

Keywords

Retina Top-hat Bottom-hat Vessel segmentation 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Rafsanjany Kushol
    • 1
  • Md. Hasanul Kabir
    • 1
  • Md Sirajus Salekin
    • 1
  • A. B. M. Ashikur Rahman
    • 1
  1. 1.Department of Computer Science and EngineeringIslamic University of TechnologyDhakaBangladesh

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