Improved adaptive complex diffusion despeckling filter

Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diagnosis or as a preprocessing stage for retinal layer segmentation. Both of these applications are particularly important in monitoring the progression of retinal disorders. In this study we propose a n...

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Detalhes bibliográficos
Autor principal: Bernardes, Rui (author)
Outros Autores: Maduro, Cristina (author), Serranho, Pedro (author), Araújo, Adérito (author), Barbeiro, Sílvia (author), Cunha-Vaz, José (author)
Formato: article
Idioma:eng
Publicado em: 2011
Assuntos:
Speckle
Spatial filtering
Image processing
Optical coherence tomography
Ophthalmology
Optical diagnostics for medicine
Texto completo:http://hdl.handle.net/10400.2/1956
País:Portugal
Oai:oai:repositorioaberto.uab.pt:10400.2/1956
Descrição
Resumo:Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diagnosis or as a preprocessing stage for retinal layer segmentation. Both of these applications are particularly important in monitoring the progression of retinal disorders. In this study we propose a new formulation for a well-known nonlinear complex diffusion filter. A regularization factor is now made to be dependent on data, and the process itself is now an adaptive one. Experimental results making use of synthetic data show the good performance of the proposed formulation by achieving better quantitative results and increasing computation speed.

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