Computer Science ›› 2017, Vol. 44 ›› Issue (12): 274-278.doi: 10.11896/j.issn.1002-137X.2017.12.049

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Algorithm of Eliminating Image Stitching Line Based on Improved IGG Model

QU Zhong and LI Xiu-li   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to improve the quality of panorama obtained by image stitching,L-M(Levenberg-Marquardt) algorithm is usually applied to the parameter optimization for image mosaic of the transform model,but it cannot eliminate the influence of mismatching points of the model solution.To solve this problem,robust L-M algorithm based on IGG function model was proposed.Firstly,the iterative process of IGG algorithm has the characteristics of strong resistance to gross error and high convergence speed,which contribute to optimize transformation model and improve the accuracy of image registration.Secondly,the method of combining Laplacian multi-resolution fusion algorithm of the adaptive region and the optimal stitching line is used to eliminate transition discontinuity,which is caused by the seam and uneven illumination.The experimental results show that the improvesd algorithm not only effectively improves the registration accuracy,but also achieves a seamless and high quality panorama.

Key words: Panoramic image mosaic,L-M algorithm,IGG method,Parameter optimization,Seam-line elimination

[1] HUANG C M,LIN S W,CHEN J H.Efficient Image Stitching of Continuous Image Sequence With Image and Seam Selections[J].IEEE Sensors Journal,2015,5(10):5910-5918.
[2] KUPER B,NETANYAHU N S,SHIMSHONI I.An EfficientSIFT Based Mode Seeking Algorithm for Sub-Pixel Registration of Remotely Sensed Images[J].IEEE Geoscience & Remote Sensing Letters,2015,2(2):379-383.
[3] ZHANG D,YU C G.Image Mosaic Technology Based on Feature Point Match[J].Computer Systems & Applications,2016,5(3):107-112.(in Chinese) 张东,余朝刚.基于特征点的图像拼接方法[J].计算机系统应用,2016,5(3):107-112.
[4] BROWN M,LOWE D G.Automatic Panoramic Image Stitching using Invariant Features[J].International Journal of Computer Vision,2007,4(1):59-73.
[5] PAUL S,PATI U C.Remote Sensing Optical Image Registration Using Modified Uniform Robust SIFT[J].IEEE Geoscience &Remote Sensing Letters,2016,3(9):1300-1304.
[6] CHIA W C,YEONG L S,CH’NG S I,et al.The effect of rainfall on feature points extraction and image stitching[C]∥2014 International Conference on Information Science,Electronics and Electrical Engineering (ISEEE).IEEE,2014:1382-1386.
[7] SHEN J,ZHAO Y,YAN S,et al.Exposure fusion using boosting Laplacian pyramid[J].IEEE Transactions on Cybernetics,2014,4(9):1579-1590.
[8] QU Z,QIAO G Y,LIN S P.A Fast Image Stitching Algorithm Eliminates Seam line and Ghosting[J].Computer Science,2015,2(3):280-283.(in Chinese) 瞿中,乔高元,林嗣鹏.一种消除图像拼接缝和鬼影的快速拼接算法[J].计算机科学,2015,2(3):280-283.
[9] WAINE M,ROSSA C,SLOBODA R,et al.3D shape visualization of curved needles in tissue from 2D ultrasound images using RANSAC[C]∥IEEE International Conference on Robotics and Automation.IEEE,2015:4723-4728.
[10] WANG T J,CHENG L Z.Image mosaic via improved Leven-berg-Marquardt algorithm[J].Journal of Computer Application,2009,9(10):2693-2694.(in Chinese) 王腾蛟,成礼智.基于Levenberg-Marquardt改进算法的图像拼接[J].计算机应用,2009,9(10):2693-2694.
[11] MO C K,CHEN S X,HAO W U,et al.A Robust Estimation Based 3D Passive Locating Algorithm[J].Electronics Optics & Control,2015,2(2):22-26.

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