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This project is about image segmentation algorithms using a Markovian approach. The main contribution is a new hierarchical MRF model and a Multi-Temperature Annealing (MTA) algorithm proposed for the energy minimization of the model. The convergence of the MTA algorithm has been proved towards a global optimum in the most general case, where each clique may have its own local temperature schedule.
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The well-known thin plate spline interpolation method has been adopted and improved to produce a digital elevation model (DEM) covering the whole territory of Hungary.
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MicroSEGAMS is an AMIGA-based system to perform and evaluate isotope-diagnostic studies. It was created using the experiences with SUPER-SEGAMS.
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Supplement to SEGAMS-80 with the creation and evaluation of SPECT studies. It became possible to create user programs for the system in FORTRAN.
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The improvement of the SEGAMS system that made possible to automate the image acquisition and evaluation. The system could be generated in different languages as well.
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SEGAMS: A tree-structured hierarchical data processing system. The software system of a gamma camera connected to a minicomputer that can be used to acquire and evaluate the most common types of nuclear medicine studies used in clinical routine.
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Detecting changes in images acquired by a scintigraph about the distribution of radioactive isotopes is a difficult task. Image processing attempts were made to improve the detection of changes.
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