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The combined approach to the object contour superimposition in heterogeneous images for multispectral computer vision systems is proposed and described. The application of the approach proposed increases the superimposition quality for heterogeneous images and decreases the success dependency from the scene in the images under consideration. The results of the experiments for the sequence of the real...
The works presented by the authors at MECO-2013 – MECO-2015 conferences as well as the other works considered the components of image superimposition techniques in computer vision systems with different degree of detail. In this paper for the first time a complete description of the automatic image superimposition technique is provided. This technique is suitable for the images both of a similar and...
The results of experimental research of both homogeneous and heterogeneous image superimposition quality by means of multiple view geometry. One of the most important tasks in the problem of image superimposition which has not been solved till now is the task to make the right selection of a set of key (corresponding) point pairs on superimposed images. The research shows image superimposition by...
The research and algorithm development process in MATLAB for the multispectral computer vision system is described. There are a lot of ready-made tools for that in MATLAB. These tools save the development time. Then the well-tested computer vision algorithms are translated from MATLAB to C/C++ language for the further implementation.
An approach to the image superimposition problem solving on basis of the contour analysis methods is discussed; a number of contour analysis algorithms are suggested; the results of the developed algorithms implementation are shown by example of aerial photograph pair processing
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