Abstract
The approach described in this paper has been developed as a supporting tool for practical exercises based on a teaching aid; however, its application is far from being limited to be used only in the education process. The main task of the approach is extraction of information about structure of a working environment from color images and its transformation to an appropriate form suitable for path-planning. The working environment considered in this paper is a labyrinth. Since the information is to be used further by path-planning, its expression in the form of a graph is required, or, more precisely, the adjacency matrix is required as the output. The transformation of the real world into a discreet representation is based on the exact cell decomposition in this approach. The approach employs the well-known image processing algorithms; however, the procedure of the labyrinth layout analysis as well as the transformation of the acquired information into the adjacency matrix has been developed and tested in this work. The approach has been realized and verified in MATLAB using the Image Processing Toolbox.
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Acknowledgments
I would like to offer my special thanks to the government of India as well as to the ambassador of India in Czech Republic, mr. Shri Ashok Venkatesan and to the first secretary of the embassy, mr. Somnath Chatterjee, for the support of my studies about image processing at the Indian Institute of Remote Sensing in Dehradun via the ITEC scholarship. The knowledge gained within the studies was very helpful for the solving of the problem described in the paper.
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Škrabánek, P. (2015). Labyrinth Arrangement Analysis Based on Image Processing. In: Matoušek, R. (eds) Mendel 2015. ICSC-MENDEL 2016. Advances in Intelligent Systems and Computing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-319-19824-8_25
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DOI: https://doi.org/10.1007/978-3-319-19824-8_25
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