72 KB567 KB40 KB200020242005Debayle, JohanPinoli, Jean-Charles14 straniletnik:24številka:3str. 145-158ISSN:1580-3139COBISSID:20441305URN:URN:NBN:SI:doc-AG742S0PenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyElectrophoresis, Agar GelElektroforeza, agar gelImage Processing, Computer-AssistedMatematično računalništvoMathematical Computingobdelava slikSlika, obdelava z računalnikomstereologijaSpatially adaptive morphological image filtering using intrinsic structuring elements|This paper deals with spatially adaptive morphological filtering, extending the theory of mathematical morphology to the paradigm of adaptive neighborhood. The basic idea in this approach is to substitute the extrinsically-defined, fixed-shape, fixed-size structuring elements generally used by morphological operators, by intrinsically-defined, variable-shape, variable-size structuring elements. These last so-called intrinsic structuringelements fit to the local features of the image, with respect to a selected analyzing criterion such as luminance, contrast, thickness, curvatureor orientation. The resulting spatially-variant morphological operators perform efficient image processing, without any a priori knowledge of the studied image and some of which satisfy multiscale properties. Moreover, in a lot of practical cases, the elementary adaptive morphological operators are connected, which is topologically relevant. The proposed approach is practically illustrated in several application examples, such as morphological multiscale decomposition, morphological hierarchical segmentation and boundary detectionTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike