A review on the rule-based filtering structure with applications on computational biomedical imagesYin, X.-X., Hadjiloucas, S. ORCID: https://orcid.org/0000-0003-2380-6114, Sun, L., Bowen, J. W. and Zhang, Y. (2022) A review on the rule-based filtering structure with applications on computational biomedical images. Journal of Healthcare Engineering, 2022. pp. 1-17. ISSN 2040-2295
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1155/2022/2599256 Abstract/Summaryconcepts in the filtering structure. It is crucial for understanding and discussing different principles associated with fuzzy filter design procedures. A number of typical fuzzy multichannel filtering approaches are provided in order to clarify the different fuzzy filter designs and compare different algorithms. In particular, in most practical applications (i.e., biomedical image analysis), the emphasis is placed primarily on fuzzy filtering algorithms, with the main advantages of restoration of corrupted medical images and the interpretation capability, along with the capability of edge preservation and relevant image information for accurate diagnosis of diseases.
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