Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Disease analysis system using Content Based Image Retrieval

Author : K.Ramalakshmi 1 P Kanmani 2 R. N.Devendra Kumar 3 Nisha Soms 4 A.Praveena 5

Date of Publication :11th May 2017

Abstract: One of the common causes of blindness is Diabetic retinopathy. This disease threatens the visions of a lot of people affected with diabetes in the world. This is an important eye disease that may lead to blindness or may blur the visions. In this work, an attempt has been made to examine retinal images for Content Based Image Retrieval (CBIR) application. Various fundus photographs are collected and given as input for further examination. Based on the anatomical structure and feature of the retinal images we classify the type of diseases in the retina. In this work, an Efficient Fuzzy Neural Network (FNN) is proposed to eliminate the iteration dependent nature of the classification system. This disease identification system includes segmentation from retinal images, feature extraction process followed by image classification. Experimental results show promising possibilities for the proposed CBIR based systems in terms of performance measures

Reference :

    1.  Hussain F. Jaafar, Asoke K. Nandi and Waleed Al-Nuaimy, “ Automatic Detection Of Exudates In Retinal Images Using A Split- And-Merge Algorithm”, 1-5, Aug 2010, Department of Electrical Engineering and ElectronicsUniversity of Liverpool, Brownlow Hill, Liverpool .
    2.  Oakar Phyo, AungSoe Khaing, “Automatic Detection Of Optic Disc And Blood Vessels From Retinal Images Using Image Processing Techniques”,1-8,2014, Mandalay Technological University, Mandalay, Myanmar.
    3.  Bin Fan, Wynne Hsu, Mong Li Lee, “On The Detection Of Retinal Vessels In Fundus Images”, 1-8, Singapore-MIAlliance National University of Singapore.
    4. Nikhil Amrutkar, Yogesh Bandgar, Sharad Chitalkar, S.L.Tade, “Retinal Blood Vessel Segmentation Algorithm For Diabetic Retinopathy And Abnormality Detection Using Image Substraction”, 1-7, April 2013, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Issue 4 .
    5. Pavle Prentaˇsi´c, “Detection Of Diabetic Retinopathy In Fundus Photographs”, 1-8, University of Zagreb, Faculty of Electrical Engineering and Computing.
    6.  Thomas Walter_, Jean-Claude Klein, Pascale Massin, and Ali Erginay, “A Contribution Of Image Processing To The Diagnosis Of Diabetic Retinopathy— Detection Of Exudates In Color Fundus Images Of The Human Retina”, 1-8, October 2002, IEEE Transactions On Medical Imaging.
    7. Shraddha Tripathi, Krishna Kant Singh , B.K.Singh , Akansha Mehrotra, “Automatic Detection of Exudates in Retinal Fundus Images using Differential Morphological Profile”, 1-6, june-july 2013, Electronics & Communication Engineering, BTKIT, Earthquake Engineering, IIT, Roorkee, India.
    8. R.Priya, P.Aruna, “SVM And Neural Network Based Diagnosis Of Diabetic Retinopathy”, 1-7, March 2012, International Journal of Computer Applications.
    9. Gulfishan Firdose Ahmed, Raju Barskar, “A Study On Different Image Retrieval Techniques In Image Processing”, 1-5, September 2011, International Journal of Soft Computing and Engineering (IJSCE).
    10. M.Lavanya, S.Oswalt Manoj, R.N.Devendra Kumar, K.Sri Hari “Multi Disease Analysis System Using Content Based Image Retrieval”, 1-6, September 2015, African Journal of Computing & ICT.
    11. Jignyasa Sanghavi, Deepali Kayande, “Content Based Image Retrieval (CBIR) System For Diagnosis Of Blood Related Diseases”, 1-5, 2013, International Journal of Computer Applications.
    12.  Aparna W. Bondade, Priti Saktel, “Survey on Cancer Detection Using Content Based Image Retrieval Technique”,1-2, November 2014, International Journal of Science and Research, Volume 3, Issue 11.

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