Abstract
In this paper we present the implementation and analysis of a morphological algorithm for the attributes opening and closing on grayscale images. We investigated the application of this algorithm to different types of images. As a result we determined the range of the algorithm applicability and obtained recommendations for choosing it’s parameters.
Unlike most morphological algorithms this one solves both tasks: removing grayscale peaks and retaining image structure.
This makes the image more simple for subsequent processing. At the same time we retained all significant image features for solving the segmentation problem.
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Bachurin, D., Lakhtin, A. (2015). Implementation and Analysis of a Morphological Algorithm for the Attributes Opening and Closing. In: Elleithy, K., Sobh, T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-06764-3_26
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DOI: https://doi.org/10.1007/978-3-319-06764-3_26
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