【摘要】：目標(biāo)體表面的曲面重構(gòu)技術(shù)在醫(yī)學(xué),工業(yè),地質(zhì)等領(lǐng)域有著廣泛的應(yīng)用,屬于信息可視化研究的重要領(lǐng)域。其中基于空間散點(diǎn)的曲面重構(gòu)方法可以總結(jié)為三個(gè)主要步驟:構(gòu)建網(wǎng)格,提取特征和曲面光滑處理。得益于多年來許多研究者在相關(guān)領(lǐng)域的不懈鉆研,許多高效而嚴(yán)謹(jǐn)?shù)乃惴ê退枷氡惶岢霾⑼度氲綄?shí)踐應(yīng)用當(dāng)中。不過這些方法依然有許多不足的地方。目前針對(duì)地質(zhì)數(shù)據(jù)沒有一種可以在保持曲面趨勢(shì)不變的情況下構(gòu)建出光滑曲面的算法。在地質(zhì)數(shù)據(jù)處理領(lǐng)域也沒有一種效果特別好的特征提取算法。本文對(duì)目標(biāo)體表面的曲面重構(gòu)進(jìn)行了研究,并針對(duì)高程模型曲面的網(wǎng)格構(gòu)建,特征提取和曲面光滑處理進(jìn)行了深入探索,實(shí)現(xiàn)了一套曲面重構(gòu)的完整流程。本文的主要?jiǎng)?chuàng)新包括:1.總結(jié)了傳統(tǒng)高程模型曲面特征提取的不足之處。本文針對(duì)這些不足,引入基于曲率的特征提取方法,并結(jié)合流水法特征提取算法提出了一種融合特征的算法。這種算法可以減少特征碎片化,提取出更完整的特征信息。2.針對(duì)傳統(tǒng)曲面光滑方法會(huì)改變曲面趨勢(shì)的缺點(diǎn),本文將特征約束加入基于偏微分方程的曲面光滑處理。結(jié)果不但可以保留原曲面特征,還能使曲面光滑度達(dá)到所需水平。綜上所述,本文針對(duì)曲面重構(gòu)領(lǐng)域中的高程模型曲面重構(gòu)方法進(jìn)行了改進(jìn)和實(shí)現(xiàn)。改善了曲面網(wǎng)格插值效果,使曲面的插值結(jié)果更貼近原始曲面的趨勢(shì)。改善了特征提取的算法,使特征提取的結(jié)果更全面。將基于偏微分方程的曲面光滑方法與特征提取相結(jié)合,改善了曲面光滑的結(jié)果。還實(shí)現(xiàn)了一個(gè)曲面重構(gòu)可視化系統(tǒng)。
[Abstract]:The surface reconstruction technology of object surface has been widely used in medical, industrial, geological and other fields, which belongs to the important field of information visualization. The method of surface reconstruction based on spatial divergence can be summarized as three main steps: grid construction, feature extraction and smooth surface processing. Many efficient and rigorous algorithms and ideas have been put forward and put into practice because of the unremitting research of many researchers in related fields over the years. However, there are still many shortcomings in these methods. At present, there is no algorithm to construct smooth surface while keeping the trend of surface unchanged for geological data. There is also no feature extraction algorithm in the field of geological data processing. In this paper, the surface reconstruction of the object surface is studied, and the mesh construction, feature extraction and smooth surface processing of the elevation model surface are deeply explored, and a complete process of surface reconstruction is realized. The main innovations of this paper include: 1. The shortcomings of surface feature extraction of traditional elevation model are summarized. In this paper, a feature extraction method based on curvature is introduced, and a feature fusion algorithm is proposed in combination with the pipelined feature extraction algorithm. This algorithm can reduce feature fragmentation and extract more complete feature information. In view of the disadvantage that the traditional surface smoothing method can change the surface trend, the feature constraints are added to the surface smoothing process based on partial differential equation in this paper. Results not only the original surface features can be retained, but also the smoothness of the surface can reach the required level. To sum up, the surface reconstruction method of elevation model in the field of surface reconstruction is improved and implemented in this paper. The effect of surface mesh interpolation is improved, and the interpolation result is closer to the trend of original surface. The algorithm of feature extraction is improved and the result of feature extraction is more comprehensive. The method of surface smoothing based on partial differential equation is combined with feature extraction to improve the result of surface smoothing. A visualization system for surface reconstruction is also implemented.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41;O175.2

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