About: Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy     Goto   Sponge   NotDistinct   Permalink

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  • This paper describes a new method for detection biffurcation points of retinal vascular tree. This approach uses Hessian matrix for blood vessel segmentation, followed by morphological thinning and binary matched filtering. Thesebifurcation points are consequently used as landmarks for rigid image registration based on the iterative closest point method. Registered images were used for simple analysis with the aim to enhance the new pathologies in analyzed image sequence.
  • This paper describes a new method for detection biffurcation points of retinal vascular tree. This approach uses Hessian matrix for blood vessel segmentation, followed by morphological thinning and binary matched filtering. Thesebifurcation points are consequently used as landmarks for rigid image registration based on the iterative closest point method. Registered images were used for simple analysis with the aim to enhance the new pathologies in analyzed image sequence. (en)
Title
  • Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy
  • Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy (en)
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  • Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy
  • Automatic Rigid Registration and Analysis of Colour Fundus Image in Patients with Diabetic Retinopathy (en)
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  • RIV/00216305:26220/09:PU82821!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
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  • P(1M0572), Z(MSM0021630513)
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  • 304484
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  • RIV/00216305:26220/09:PU82821
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  • Diabetic retinopathy, landmark registration, feature detection, blood vessel segmentation (en)
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  • [B5C4010AE9F8]
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  • Kolář, Radim
  • Harabiš, Vratislav
http://linked.open...n/vavai/riv/zamer
http://localhost/t...ganizacniJednotka
  • 26220
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