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This contribution shows how the technique of F-transform can be used for handling the problem of edge detection. A justification of the proposed approach is given and the based on it algorithm is presented. Various examples demonstrate effectiveness of the proposed algorithm and compare it with some established techniques.
Developments in hardware, sensor quality and imaging technology have attracted a great deal of research interest in image processing and associated fields in the last two decades. Here, we focus particularly on the problem of image fusion due to the fact that it is one of the leading areas of intense research and development activity. Moreover, image fusion(More)
We show that on the basis of F-transform, the problem of reconstruction of corrupted images can be solved. The proposed technique is called image fusion. A simple linear algorithm of image fusion, based on F-transform, is proposed and justified. A measure of degradation of an image is proposed as well.
Both associative networks and RDF model (here we consider especially its graph version) belong to formal systems of knowledge representation based on concept-oriented paradigm. To treat properties of both of them as common properties of the systems is therefore natural. The article shows a possibility to use universal and existential quantified statements(More)
The article summarizes current approaches to image fusion problem using fuzzy transformation (F-transform) with their weak points and proposes improved version of the algorithm which suppress them. The first part of this contribution brings brief theoretical introduction into problem domain. Next part analyses weak points of current implementations. Last(More)