【摘要】：圖像拼接與融合技術是圖像處理和計算機視覺領域中的熱門研究點,近年來已經被普遍地應用于國防安全、機器人視覺、視頻監(jiān)控、全景圖像生成、醫(yī)學圖像處理、遙感、海底勘探、視頻壓縮與檢索、3D虛擬場景構建等多個重要領域。其中圖像拼接的配準率和拼接耗時以及圖像融合的質量都是評價一個拼接方法好壞的指標�；谔卣鞯膱D像拼接與融合方法因其配準的質量高并且不易受到尺度變化等因素的影響,受到廣大研究人員的推崇。本文在現(xiàn)有的基于特征的圖像配準與拼接技術的基礎上,對圖像配準和拼接融合的每一個步驟進行了細化和改進,最終得到了良好的配準與拼接結果。主要的工作如下:(1)分析比較了各種鏡頭畸變矯正算法的優(yōu)缺點,根據(jù)實際需求采用張正友標定法或基于Ilya Krylov模型對攝像機參數(shù)進行了標定和矯正。(2)研究了各種圖像增強的預處理方法,并提出了一種基于圖像金字塔的增強算法,使得圖像的配準率得到提升,在光照不佳的條件下配準率平均提高了14.3%。(3)研究了基于SIFT算法的圖像配準,并改進了SIFT特征的描述符,使得圖像配準的平均速度提高了2倍。(4)分析比較了各種圖像融合方法,在原有的加權平均法上進行改進,使得融合結果的視覺效果有所改善。實驗結果表明,文中提出的方法可有效用于各種領域的圖像拼接和視頻拼接。
[Abstract]:Image mosaic and fusion technology is a hot research point in the field of image processing and computer vision. In recent years, it has been widely used in national defense security, robot vision, video surveillance, panoramic image generation, medical image processing, remote sensing. Underwater exploration, video compression and retrieval, 3D virtual scene construction and other important areas. Among them, the registration rate, the time consuming and the quality of image fusion are all indicators to evaluate the quality of a stitching method. The feature-based image stitching and fusion method is highly praised by researchers because of its high registration quality and is not easy to be affected by the change of scale and other factors. In this paper, based on the existing feature-based image registration and stitching techniques, each step of image registration and stitching fusion is refined and improved, and good registration and stitching results are obtained. The main work is as follows: (1) the advantages and disadvantages of various lens distortion correction algorithms are analyzed and compared. According to the actual demand, the camera parameters are calibrated and corrected by using Zhang Zhengyou calibration method or Ilya Krylov model. (2) various image enhancement preprocessing methods are studied, and an image pyramid enhancement algorithm is proposed. The image registration rate is improved, and the average registration rate increases by 14.3% under the condition of poor illumination. (3) the image registration based on SIFT algorithm is studied, and the descriptor of SIFT feature is improved. The average speed of image registration is increased by 2 times. (4) the image fusion methods are analyzed and compared, and the original weighted average method is improved to improve the visual effect of the fusion results. Experimental results show that the proposed method can be effectively used in image mosaic and video mosaic in various fields.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41

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