| Lifting Scheme and Its Application to Edge Detection |
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| 作者姓名： | Yang Yan He Chu Liao Ya\|li Cao Yang Qin Qian\|qing .School of Electronic Informatio n Wuhan University Wuhan Hubei China .The State Key Laboratory of Cartographical Remote Sensing and Information Engineering Wuhan Univer sity Wuhan Hubei China |
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| 作者单位： | Yang Yan 1，He Chu 1，Liao Ya\|li 1，Cao Yang 1，Qin Qian\|qing 2 1.School of Electronic Informatio n，Wuhan University，Wuhan 430072，Hubei，China 2.The State Key Laboratory of Cartographical，Remote Sensing and Information Engineering，Wuhan Univer sity，Wuhan 430072，Hubei，China |
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| 基金项目： | SupportedbytheNationalNaturalScienceFoundationofChina (699830 0 5) |
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| 摘 要： | 0 ＩｎｔｒｏｄｕｃｔｉｏｎＬｉｆｔｉｎｇｓｃｈｅｍｅａｓｉｎｔｒｏｄｕｃｅｄｂｙＷ .Ｓｗｅｌｄｅｎｓ1] ｉｎ 1996 ,ｉｓａｎｅｗｗａｙｏｆｃｏｎｓｔｒｕｃｔｉｎｇｗａｖｅｌｅｔｔｒａｎｓｆｏｒｍｔｈａｔｎｏｔｎｅｃｅｓｓａｒｉｌｙｂａｓｅｄｏｎｔｒａｎｓｌａｔｅｓａｎｄｄｉｌａｔｅｓｏｆｏｎｅｆｕｎｃｔｉｏｎ .ＬｉｆｔｉｎｇａｌｌｏｗｓｔｈｅｃｏｎｓｔｒｕｃｔｉｏｎｏｆｗａｖｅｌｅｔｓｅｎｔｉｒｅｌｙｉｎｔｈｅｓｐａｔｉａｌｄｏｍａｉｎｗｉｔｈｏｕｔｍａｋｉｎｇｕｓｅｏｆｔｈｅＦｏｕｒｉｅｒｔｒ…
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Lifting scheme and its application to edge detection |
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| Yang Yan ,He Chu ,Liao Ya\|li ,Cao Yang ,Qin Qian\|qing .School of Electronic Informatio n,Wuhan University,Wuhan ,Hubei,China .The State Key Laboratory of Cartographical,Remote Sensing and Information Engineering,Wuhan Univer sity,Wuhan ,Hubei,China.Lifting Scheme and Its Application to Edge Detection[J].Wuhan University Journal of Natural Sciences,2003,8(1):74-76. |
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| Authors: | Yang Yan He Chu Liao Ya-li Cao Yang Qin Qian-qing |
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| Institution: | (1) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China;(2) The State Key Laboratory of Cartographical, Remote Sensing and Information Engineering, Wuhan University, 430072 Wuhan, Hubei, China |
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| Abstract: | Lifting scheme is a useful and very general technique for constructing wavelet decomposition. The paper adapts the lifting into redundant lifting to obtain shift invariant wavelet transform. In prediction and update stages of the lifting morphological operator is adopted for preserving local maxima of a signal over several scales, which is particularly useful in wavelet\|based signal detec tion. The new transform presented in the paper is applied in multiresoluti on edge detection of medical image and experim ent results are given to show better performance and applicable potentiali ty. |
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| Keywords: | lifting scheme redundant wavelet transform morpholog ical operator edge detection |
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