https://scholars.lib.ntu.edu.tw/handle/123456789/150946
Title: | Recursive order-statistic soft morphological filters | Authors: | SOO-CHANG PEI CHIN-LAUNG LEI Shih, F.Y. |
Keywords: | Image reconstruction; Morphological filtering; Recursive order-statistic soft morphological filters | Issue Date: | Oct-1998 | Journal Volume: | 145 | Journal Issue: | 5 | Start page/Pages: | 333-340 | Source: | IEE Proceedings: Vision, Image and Signal Processing | Abstract: | A new class of recursive order-statistic soft morphological (ROSSM) filters are proposed and their important properties related to morphological filtering are developed. Criteria for specific selection of parameters are provided to achieve excellent performance in noise reduction and edge preservation. It is shown through experimental results that the ROSSM filters, compared to the order-statistic soft morphological filters or other well known nonlinear filters, have better outcomes in signal reconstruction. Two examples are given for demonstrating the flexibility of the proposed filters in signal processing applications. © IEE, 1998. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910032491 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032184496&doi=10.1049%2fip-vis%3a19982318&partnerID=40&md5=d1264f8c9306c3c75918727522e3a3c1 |
ISSN: | 1350245X | SDG/Keyword: | Edge detection; Noise abatement; Parameter estimation; Performance; Recursive functions; Signal filtering and prediction; Statistical methods; Morphological filtering; Image reconstruction |
Appears in Collections: | 電機工程學系 |
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00741946.pdf | 1.2 MB | Adobe PDF | View/Open |
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