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Synthtic OCT Data for image processing performance testing
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Orientador(es)
Resumo(s)
The use of synthetic images is needed for testing the performance of image processing methods in order to establish a ground truth to test performance metrics. However, these synthetic
images do not represent real applications. The aim of this paper is to build a mathematical model to obtain a synthetic noise-free image mimicking a real Optical Coherence Tomography (OCT) B-scan or volume from the human retina,
in order to establish a ground truth for filtering performance metrics in this context. Moreover we also suggest a method to add speckle noise to this image based on the speckle noise
of the given OCT volume. In this way we establish a replicable method to obtain a ground truth for image processing performance metrics that actually mimics a real case.
Descrição
Palavras-chave
Image processing Optical coherence tomography Synthetic data
Contexto Educativo
Citação
Serranho, Pedro [et. al.] - Synthtic OCT Data for image processing performance testing. In International Conference on Image Processing, 18, Brussels, 2011. "Proceedings of International Conference..." [Em linha]. [S.l.]: IEEE, 2011. p. 409-412