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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5192
標題: | 運用超像素的即時互動式影像切割 Real-Time Interactive Segmentation with Superpixel Pre-Segmentation |
作者: | Chia-Jung Lin 林家蓉 |
指導教授: | 丁建均 |
關鍵字: | 互動式影像切割,超像素,像切割,即時系統, Interactive Image Segmentation,Superpixel,Graph Cut,Real-Time System, |
出版年 : | 2014 |
學位: | 碩士 |
摘要: | 影像切割一直是計算機視覺中一個重要的研究課題。這是因為電腦很難完全自動地從背景分割出目標,這也導致了互動式影像分割研究的興起 互動式影像分割藉由使用者的引導及修正來切割出理想的結果。然而,雖然稱為“互動”式影像切割,近期的許多研究仍未做到能即時回饋。
在本篇論文中,我們著重於縮短切割系統的反應時間。為了產生即時的結果,我們提出充分利用使用者仍在與系統互動的時間(例如正在標記前景或背景的大概位置),我們將演算法分為兩部份,其中只有第二部分會造成使用者可能察覺到的系統延遲。我們也提出採用的紋理特徵以降低切割的錯誤率,尤其當前景和背景具有相似的顏色的時候。實驗結果表明,在人眼的反應系統下,我們的演算法和框架可以達到視為“即時”的反應時間,這樣的框架同時也可以被其他演算法拿來應用。 Image segmentation has been a major research topic in computer vision. It is hard to segment the object from the background fully automatically, and solving the problem leads to the researches in interactive image segmentation, which incorporates user intervention to guide the segmentation process and to correct anomalies in the segmentation results. Although called “interactive,” real-time response is not yet reachable by many recent methods. In this thesis, we focus on shorten the response time of the segmentation system. To produce real-time result, we propose making use of the time when user interacts with the system. We separate our algorithm into two parts, where the response time is only contributed by the later part. We adopt texture feature to enhance the results in images where foreground and background have similar colors. Experimental results show that our implementation achieves short response time that could be perceived as “instant.” The framework can also be applied by other different algorithms to shorten the response time. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5192 |
全文授權: | 同意授權(全球公開) |
顯示於系所單位: | 電信工程學研究所 |
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檔案 | 大小 | 格式 | |
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ntu-103-1.pdf | 5.3 MB | Adobe PDF | 檢視/開啟 |
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