An Effective Implementation of Exudate Extraction from Fundus Images of the Eye for a Content Based Image Retrieval System Through Hardware Description Language

  • C. Gururaj
  • D. Jayadevappa
  • Satish Tunga
Conference paper


Data retrieval plays a critical role in the progress of the technology in the present day technological scenario with huge databases. Content Based Image Retrieval (CBIR) is one of the popular image retrieval techniques which find its application in varied fields including medical image analysis, historical research, military applications etc. Teleconferencing is gaining widespread acceptance in the field of medical analysis. One of the methods for testing through the above method is to use images of the fundus of the eye. Although there are CBIR algorithms that are accurate, their implementation on PC based systems suffer from long execution time. The paper proposes to accelerate the algorithm through its implementation in a mixed hardware/software platform. The first towards this process is implementation through a Verilog HDL code which can be used on a VLSI system. The extraction of features from these images may indicate the presence of infirmities namely exudates that are determined and its possible implementation through Verilog HDL is addressed in this paper. An improvement in terms of effective implementation was observed using the standard DRIVE database. The algorithm has been implemented and optimized on Xilinx ISE Design Suite version 14.2 and simulated on Modelsim simulator version 10.1d.


Exudate Content based image retrieval CBIR Fundus Verilog Optical disc 



The authors would like to acknowledge the management of BMS College of Engineering, Bangalore for sponsoring the publishing of this work through the TEQIP—II grants.


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of TelecommunicationBMS College of Engineering, Jain UniversityBengaluruIndia
  2. 2.Department of Instrumentation TechnologyJSSATE (VTU)BengaluruIndia
  3. 3.Department of TelecommunicationMSRIT, Jain UniversityBengaluruIndia

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