https://scholars.lib.ntu.edu.tw/handle/123456789/150946
標題: | Recursive order-statistic soft morphological filters | 作者: | SOO-CHANG PEI CHIN-LAUNG LEI Shih, F.Y. |
關鍵字: | Image reconstruction; Morphological filtering; Recursive order-statistic soft morphological filters | 公開日期: | 十月-1998 | 卷: | 145 | 期: | 5 | 起(迄)頁: | 333-340 | 來源出版物: | IEE Proceedings: Vision, Image and Signal Processing | 摘要: | 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/關鍵字: | Edge detection; Noise abatement; Parameter estimation; Performance; Recursive functions; Signal filtering and prediction; Statistical methods; Morphological filtering; Image reconstruction |
顯示於: | 電機工程學系 |
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00741946.pdf | 1.2 MB | Adobe PDF | 檢視/開啟 |
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