Ievgen Sidenko, Tetiana Misiuk, Galyna Kondratenko and Yuriy Kondratenko

Petro Mohyla Black Sea National University, 68th Desantnykiv Str., 10, Mykolaiv, 54003, Ukraine

The paper discusses objects (images) segmentation algorithms that are applicable in mobile applications with augmented reality. An example of image processing with virtual objects by different algorithms (the MeanShift algorithm, the GrabCut algorithm, the k-means algorithm) is considered. Different libraries, tools, and environments to implement segmentation algorithms were analyzed, such as Scikit-image, Pixellib, OpenCV, Point Cloud Library. The application was created for mobile devices running iOS 10 and higher. The GrabCut algorithm turned out to be the best algorithm for image processing. The processing result was the closest to the expected one. Although the algorithm has some errors. Despite the fact that the area that was contoured turned out to be the clearest and most complete in comparison with other algorithms, this area also includes areas of the image that do not belong to the objects under study.

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