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  • The paper proposes an image processing algorithm to accurately detect the presence of exudates in Fundus images. For Diabetic Retinopathy, presence of exudates in the fundus image marks the beginning of vision loss and hence detecting the exudates accurately and efficiently is of prime concern. The proposed algorithm is a strategic method which removes false detection because of noise generated for different reasons. Using a strategic combination of two independent approaches based on threshold and edge detection helps in eliminating all possible types of noises leading to false exudates that may have crept in. Hence, this method of detecting the exudates has an advantage of increased accuracy. Experimental results indicate that this method has a clear advantage of accuracy in terms of exudates detection in the digital Fundus image without compromising the computational time.
  • The paper proposes an image processing algorithm to accurately detect the presence of exudates in Fundus images. For Diabetic Retinopathy, presence of exudates in the fundus image marks the beginning of vision loss and hence detecting the exudates accurately and efficiently is of prime concern. The proposed algorithm is a strategic method which removes false detection because of noise generated for different reasons. Using a strategic combination of two independent approaches based on threshold and edge detection helps in eliminating all possible types of noises leading to false exudates that may have crept in. Hence, this method of detecting the exudates has an advantage of increased accuracy. Experimental results indicate that this method has a clear advantage of accuracy in terms of exudates detection in the digital Fundus image without compromising the computational time. (en)
Title
  • Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding
  • Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding (en)
skos:prefLabel
  • Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding
  • Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding (en)
skos:notation
  • RIV/00216305:26220/14:PU111052!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072), P(LD14091), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 16267
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/14:PU111052
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Diabetic Retinopathy, Exudates, Thresholding based detection, Edge detection, Fundus image processing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A6F56B41E8B6]
http://linked.open...v/mistoKonaniAkce
  • Berlín
http://linked.open...i/riv/mistoVydani
  • Berlin, Germany
http://linked.open...i/riv/nazevZdroje
  • 2014 37th International Conference on Telecommunications and Signal Processing (TSP)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Radim
  • Přinosil, Jiří
  • Dutta, Malay Kishore
  • Ganguly, Shaumik
  • Ganguly, Shaunak
  • Parthasarathi, M.
  • Srivastava, Kshitij
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-214-4983-1
http://localhost/t...ganizacniJednotka
  • 26220
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