Abstract
In this paper a new fuzzy control based filter called by Adaptive C-average Fuzzy Control Filter ‘ACFCF’ is introduced. The aim of this filter is removing impulsive noise, smoothing Gaussian noise out while at the same time preserving edges and image details efficiently. To increase the run-time speed, the floating point operations are avoided. This filter employs the idea that each pixel is not fired uniformly by each of the fuzzy rules which are adaptively tuned. To show how efficient our filtering approach is, we perform several different test cases on image enhancement problem. From these results we may list the concluding remarks of the proposed filtering as: i) no need of floating point calculations, ii) very fast performance of the filter in compared with those of the other recently proposed filters, iii) high quality of filtering, iv) high edge preserving ability.
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Farbiz, F., Menhaj, M.B., Motamedi, S.A. (1999). An Adaptive C-Average Fuzzy Control Filter for Image Enhancement. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_20
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DOI: https://doi.org/10.1007/3-540-48774-3_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66050-7
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