The potential importance of the mathematical morphological operations applied in the analysis of digital fundus images has been described. A proposal of appropriate computing tools has been demonstrated and sample applications have been shown for further developments.
Explorations of e-learning platforms in preparing the courseware for graduate students of medical physics and informatics is shortly described. Preliminary reflections and conclusions focused mainly on essential content building are presented.
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An attempt to apply fractal analysis in the interpretation of fundus images of retinal vessel patterns in the human eyes has been presented. An implementation of the algoriyhm estmating the fractal dimension of surfaces (accoding to the Minkowski-Bouligand definition) has been suggested within the framework of professional image processing software as an effective tool in a search for a classifying feature, supporting the retinal disease diagnosing. Preliminary test results demonstrating the possibilities of the proposed tool and further developments of the approach are discussed.
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