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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/102673

    Title: 基於階層式相似度分析與適應性遮罩技術應用於二維轉三維內視鏡影像系統之研究與實現
    Other Titles: The research and implementation of a 2D to 3D endoscopy image system with the techniques of content-adaptive filtering and hierarchical similarity analysis
    Authors: 李信廷;Li, Hsin-Ting
    Contributors: 淡江大學電機工程學系碩士班
    Keywords: 3D內視鏡;內視鏡3D模型;階層式相似度分析;適應性遮罩;3D Endoscopy;DIBR;Endoscopy 3D Module;Hierarchical Similarity Analysis;Content-Adaptive Filter
    Date: 2014
    Issue Date: 2015-05-04 10:01:35 (UTC+8)
    Abstract: 在近年之醫療產業及醫療設備的發展中,內視鏡 (Endoscope) 一直是醫療人員及研究人員亟需的工具,但目前內視鏡通常是單一鏡頭,使得醫生對於視覺深度難以抓取,只能憑藉經驗判斷,存在著會傷害其他組織之不必要的風險。因此本論文乃提出以單一鏡頭的內視鏡來達到立體內視鏡的視覺效果。考量到系統對整張影像做深度估測的運算量較大,無法達到即時的效果,在文中提出以階層式相似度分析來將影像拆成16×16、8×8及4×4進行相似度分析及深度估測,而估測完的深度影像時常會因為深度影像急遽變化而產生3D影像破洞及幾何失真,考量到實際上深度影像急遽變化的大小及方向不一,所產生的破洞大小和方向也就有所不同。因此,本文提出以自適應性遮罩技術以強化三維深度影像繪圖,依據不同的破洞大小及紋理方向使用對應到的高斯濾波器進行深度影像的前處理,接著透過DIBR (Depth Image Base Rendering)演算法將2D影像轉換至3D影像呈現在3D顯示器上,並透過OpenGL建立3D影像模型,最後將系統實現於GPU (Graphics Processing Unit)上達到即時的處理。
    With the advance of endoscopic technique, the researches of endoscopy are urgently needed for medical devices. However, the endoscopy is usually implemented in monocular image, making it difficult for doctors to judge the visual depth. It therefore may cause unnecessary damages to other tissues. This research work proposes a method using monocular endoscopic video to convert the 2D endoscopy into 3D view. Considering the depth estimation of the entire image, it needs a huge amount of computations, which cannot be attained throughout real time process. We propose the hierarchical similarity analysis to split the images into 16×16, 8×8, and 4×4 to analyze the similarity and depth estimation. However, the depth image may change drastically to make the converting view to have holes with different sizes and directions. It will affect the qualities of the 3D appearance and may take more time for hole-filling. This research hence presents a content-adaptive filtering technique to modify the depth map. A pre-process that applies the respective filter to different sizes and directions of holes is used to optimize the depth map. After the estimation of the depth map, the 2D image can be converted to a 3D image on the 3D display by DIBR (Depth Image Based Rendering) and create 3D modules through OpenGL (Open Graphics Library). Furthermore we implement the proposed approach on GPU (Graphics Processing Unit) to achieve the real time processing.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Thesis

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