Оцінювання якості зображень томограм макулярної області сітківки ока

Abstract

The paper is devoted to the practical confirmation of the expediency of applying the methods of correction of the brightness of the image, in the event of its general eclipse, as well as the method of unscrupulous masking to improve image clarity. The best quality of removing periodic noise by median filtration is established compared to adaptive Vineyard filtration. For filtration, conversions have been made based on the fact that the intensity of the image varies in spatial coordinates slower than the interference function. In the filtration methods, when evaluating a real signal at some point in the frame, some set of adjacent points is taken into account, taking advantage of a certain similarity of the signal at the given points. Practically the expediency of using the methods of correction of the brightness of the image, in the event of its general eclipse, as well as non-erroneous masking techniques to enhance the image clarity has been confirmed. The best quality of removing periodic noise by median filtration is established compared to adaptive Vineyard filtration. Practically a slight advantage is found in the speed of adaptive Wien filtering over median filtering in the MATLAB package, so this feature needs to be taken into account when creating new spatial image processing methods that will use the above filters.