Abstract
AbstractPaper presents absolutely new ideas about needs and possibilities of automatic understanding of the image semantic content. The idea under consideration can be found as next step on the way starting from capturing of the images in digital form as two–dimensional data structures, next going throw images processing as a tool for enhancement of the images visibility and readability, applying images analysis algorithms for extracting selected features of the images (or parts of images e.g. objects), and ending on the algorithms devoted to images classification and recognition. In the paper we try to explain, why all procedures mentioned above can not give us full satisfaction, when we do need understand image semantic sense, not only describe the image in terms of selected features and/or classes. The general idea of automatic images understanding is presented as well as some remarks about the successful applications of such ides for increasing potential possibilities and performance of computer vision systems dedicated to advanced medical images analysis.
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