Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space.

Suthaharan, Shan; Rossi, Ethan A; Snyder, Valerie; Chhablani, Jay; Lejoyeux, Raphael; Sahel, Jose-Alain; Dansingani, Kunal

Suthaharan, Shan; Rossi, Ethan A; Snyder, Valerie; Chhablani, Jay; Lejoyeux, Raphael; Sahel, Jose-Alain; Dansingani, Kunal.

Afiliación

Suthaharan S; Department of Computer Science, University of North Carolina at Greensboro, Greensboro, NC 27402, USA.
Rossi EA; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Snyder V; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Chhablani J; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Lejoyeux R; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Sahel JA; Rothschild Foundation Hospital, 29 Rue Manin, 75019 Paris, France.
Dansingani K; Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Signal Processing ; 1772020 Dec.

Article en En | MEDLINE | ID: mdl-32943806

Palabras clave

2010 MSC: 68U10; 92C55; 94A12; 97R40; Hessian feature space; computational models; image registration; machine learning; multimodal imaging; ophthalmology; phase correlation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: Signal Processing Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

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