Fovea and vessel detection via a multi-resolution parameter transform

Katia Estabridis; Rui Defigueiredo

doi:10.1117/12.705078

8 March 2007 Fovea and vessel detection via a multi-resolution parameter transform

Katia Estabridis, Rui Defigueiredo

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65122K (2007) https://doi.org/10.1117/12.705078
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

A multi-resolution, parallel approach to retinal blood vessel detection has been introduced that can also be used as a discriminant for fovea detection. Localized adaptive thresholding and a multi-resolution, multi-window Radon transform (RT) are utilized to detect the retinal vascular system. Multi-window parameter transforms are intrinsically parallel and offer increased performance over conventional transforms. Large vessels are extracted in low-resolution mode, whereas minor vessels are extracted in high-resolution mode further increasing computational efficiency. The image is adaptively thresholded and then the multi-window RT is applied at the different resolution levels. Results from each level are combined and morphologically processed to improve final performance. A systematic approach has been implemented to perform fovea detection. The algorithm relies on a probabilistic method to perform initial segmentation. The intensity image is re-mapped into probability space to detect areas with low-probability of occurrence. Intensity and probability information are coupled to produce a binary image that contains potential fovea candidates. The candidates are discriminated based upon their location within the blood vessel network.

Citation Download Citation

Katia Estabridis and Rui Defigueiredo "Fovea and vessel detection via a multi-resolution parameter transform", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65122K (8 March 2007); https://doi.org/10.1117/12.705078

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