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dc.contributor.author王蕙綾en_US
dc.contributor.authorHui-Ling Wangen_US
dc.contributor.author薛元澤en_US
dc.contributor.authorDr. Yuang-Cheh Hsuehen_US
dc.date.accessioned2014-12-12T02:46:07Z-
dc.date.available2014-12-12T02:46:07Z-
dc.date.issued2004en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009223614en_US
dc.identifier.urihttp://hdl.handle.net/11536/76664-
dc.description.abstract現在有許多方法可以達到影像變形的目的。但是,這些方法在影像變形過程中常常伴隨著不適當的現象 – “鬼影”。在我的論文中,我們將會討論兩種可避免鬼影的方法。這兩種方法分別為數學型態差補法 (Morphological interpolations)以及等位函數集合法 (Level Set Methods)。更詳盡的說,在數學型態學中,我們比較數種型態差補法,同時我們以 blending 來代表等位函數法。在比較過型態差補法和 blending 的結果後,我們嘗試利用其中一種型態差補的影像來強化blending 的影像。實際上,我們可以發現到強化過的影像明顯的比原本的blending 影像明亮許多且變形過程一樣流暢。zh_TW
dc.description.abstractThere are several ways to achieve image morphing. But it always goes along with some improper phenomenon – “ghost effect” in morphing process. To avoid this phenomenon, in this paper, we will study on morphological interpolations and morphing by level set methods. More detailed, in our experiments, we implement several different interpolating ways to achieve morphological interpolations; and we implement blending to represent level set methods. After comparing the implement results of several kinds of morphological interpolations and blending, we make an attempt to enhance the blending morphed images reusing distance-based interpolation. Actually, we can observe that the results of enhanced blending are more brighten than original blending morphed images.en_US
dc.language.isoen_USen_US
dc.subject數學型態學zh_TW
dc.subject等位函數zh_TW
dc.subjectmorphologyen_US
dc.subjectlevel set methodsen_US
dc.title形態變形法與等位函數變形法之比較zh_TW
dc.titleA Comparison between Image Morphing by Morphological Interpolations and Level Set Methodsen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
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