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  本文關(guān)鍵詞： 圖像分割 視頻分割 多分辨率分割方法 基于視頻體的分割　出處：《上海交通大學(xué)》2010年碩士論文　論文類型：學(xué)位論文

【摘要】：近幾十年來,數(shù)字圖像,視頻的處理技術(shù)一直受到廣泛關(guān)注。不僅是專業(yè)的影視、動(dòng)漫企業(yè),更多的非專業(yè)用戶希望對(duì)自己拍攝的媒體素材進(jìn)行編輯處理工作。圖像,視頻的分割技術(shù)在素材編輯中起著重要的作用。用戶從素材中提取的前景對(duì)象可以被運(yùn)用在遮片,融合等后期處理技術(shù)中,從而達(dá)到素材高效復(fù)用的目的。因此研究圖像,視頻的分割技術(shù)并且開發(fā)出有良好用戶交互性的素材編輯工具有著重要意義。 本文對(duì)圖像分割和視頻分割技術(shù)進(jìn)行了研究�，F(xiàn)有的圖像分割算法已非常成熟,但隨著數(shù)字高清圖像,視頻捕獲設(shè)備的發(fā)展,產(chǎn)生了大量的高清數(shù)字媒體素材。傳統(tǒng)的分割技術(shù)難以高效運(yùn)用在這些大數(shù)據(jù)量的素材上。多分辨率的圖像分割方法能減少處理節(jié)點(diǎn)的數(shù)量,提高算法的效率,本文對(duì)這種多分辨率的方法做了改進(jìn)并增添額外的約束保證在多層的分割過程中結(jié)果的正確性。 在視頻領(lǐng)域,由于視頻中大數(shù)據(jù)量以及保證結(jié)果時(shí)空連續(xù)性等難點(diǎn),從視頻中提取運(yùn)動(dòng)物體是一個(gè)很大的挑戰(zhàn)。本文將基于多分辨率的圖像分割方法擴(kuò)展到視頻領(lǐng)域,減少了傳統(tǒng)分割算法的時(shí)空耗費(fèi)。同時(shí)利用在低分辨率層次傳播中間結(jié)果的方法,保證了分割結(jié)果的時(shí)空連續(xù)性。 最后,本文提出了基于視頻體的多分辨率視頻分割系統(tǒng)。它提供了一個(gè)有良好交互性的視頻編輯用戶界面,可以對(duì)整個(gè)視頻體進(jìn)行切片,標(biāo)記等操作,并利用基于三維體的分割方法避免了在視頻相鄰幀間傳播結(jié)果的不可靠性。實(shí)驗(yàn)結(jié)果表明,與其他的圖像和視頻分割算法相比,本文提出的方法大量減少了時(shí)間和空間的耗費(fèi),并能得到令人滿意的分割結(jié)果。
[Abstract]:In recent decades, digital image and video processing technology has been widely concerned. Not only professional film and television, animation companies, but also more non-professional users want to edit and process their own media materials. Video segmentation technology plays an important role in material editing. Foreground objects extracted by users from the material can be used in post-processing techniques such as shading, fusion and so on, so as to achieve the purpose of efficient reuse of material. Video segmentation technology and the development of good user interaction material editing tools have great significance. In this paper, image segmentation and video segmentation techniques are studied. The existing image segmentation algorithms are very mature, but with the development of digital high-definition image, video capture equipment, The traditional segmentation technology is difficult to be used in these large amount of data efficiently. Multi-resolution image segmentation method can reduce the number of processing nodes and improve the efficiency of the algorithm. In this paper, the multi-resolution method is improved and additional constraints are added to ensure the correctness of the results in the multi-layer segmentation process. In the field of video, it is a great challenge to extract moving objects from video because of the difficulties of large amount of data in video and the continuity of time and space. In this paper, the method of image segmentation based on multi-resolution is extended to the field of video. The space-time cost of the traditional segmentation algorithm is reduced, and the spatio-temporal continuity of the segmentation results is ensured by using the method of spreading the intermediate results at the low resolution level. Finally, this paper presents a multi-resolution video segmentation system based on video volume, which provides a good interactive video editing user interface, which can slice and mark the whole video body. The method based on 3D volume is used to avoid the unreliability of the results propagating between adjacent frames. The experimental results show that compared with other image and video segmentation algorithms, the proposed method greatly reduces the cost of time and space. Satisfactory segmentation results can be obtained.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 候銳;馬利莊;桑勝舉;;視頻分割中的層次化結(jié)構(gòu)與匹配[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報(bào);2010年07期

2 路平;陳敏剛;馬利莊;桑勝舉;;快速結(jié)構(gòu)化圖像修補(bǔ)[J];中國(guó)圖象圖形學(xué)報(bào);2010年06期

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本文編號(hào)：1549624