Abstract
A new filtering scheme using fuzzy generalized morphological operators is proposed for suppressing speckle noise in images. The algorithm employs generalized morphological close-open and open-close operations with a directional structuring element, and acquires the several filtered versions with different directional structure elements respectively, then computes the fuzzy membership of the versions’ every pixel according to the designed fuzzy rule. The final filtered image is composed of all the pixels with corresponding maximal membership. Experiment result shows that performance of the proposed scheme is superior to that of lee’s filter, F.safa’s algorithm and weighted morphological filter.
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Jiang, L., Guo, Y. (2006). Speckle Suppressing Based on Fuzzy Generalized Morphological Filter. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_112
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DOI: https://doi.org/10.1007/11739685_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33584-9
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