Abstract
The general object recognition method is based on the various area segmentation algorithms. However, there might be difficulties with segmenting the adjacent objects when their boundaries are not clear. In order to solve this problem, we propose an efficient method of dividing adjacent circular-shape objects into single object through three steps: detection of the region of interest (ROI), determination of the candidate segmentation points, and creation of a segmentation boundary. The simulation shows robust results of 6.5 % average difference ratio compared to the existing methods, even when SNR was severe.
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Acknowledgments
This research was supported by Gachon University in 2012; by the Ministry of Knowledge Economy of Korea under its Convergence Information Technology Research Center support program (NIPA-2012-H0401-12-1001) supervised by the National IT Industry Promotion Agency.
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Eun, SJ., Whangbo, TK. (2013). Efficient Object Recognition Method for Adjacent Circular-Shape Objects. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_110
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DOI: https://doi.org/10.1007/978-94-007-5860-5_110
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