Nonlinear Image Mosaic of Pipe Inner Surface

Abstract:

The present study is concerned about image mosaic in single reflector panoramic imaging system (SRPIS). A nonlinear image mosaic algorithm is proposed to get the panoramic image of pipe inner surface. Because of nonlinear distortion in the images which are unwrapped from the original images, its practically impossible for traditional image mosaic method based on 2D planar projective transformation to eliminate phenomenon of ghost and blur in the seam. Nonlinear image mosaic algorithm is performed by projecting many pieces of image divided from right image onto the left image. The position-variant parameters of transformation model are got by quadratic interpolation. The results show that nonlinear image mosaic algorithm overcomes the limitations of traditional image mosaic method in images with distortion and the mosaic image is clearer than that by traditional image mosaic method.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1620-1624
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1620
• Online since: September 2013
• Authors: Jun Wei Bao*, Qiang Chen, Fu Qiang Peng
• Keywords: Image Mosaic, Image Restoration, Pipe Inner Surface, Single Reflector Panoramic Imaging System, SURF

References

[1] Weifang Zhao. studies of annulus ultra-high pixel panoramic imaging [D]. ​​Hangzhou: Zhejiang University, (2007).

[2] Xiao X, YANG G. A present and development of panoramic imaging technique[J]. Optical Instruments, 2007, 4: 017.

[3] Gumustekin S, Hall R W. Mosaic image generation on a flattened Gaussian sphere[C]. Applications of Computer Vision, 1996. WACV'96., Proceedings 3rd IEEE Workshop on. IEEE, 1996: 50-55.

DOI: 10.1109/acv.1996.571998

[4] Wang Z, Wang S, Quan Y. Image Mosaic for On-machine Measurement of Large-Scale Workpiece[C]. Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on. IEEE, 2010: 52-54.

DOI: 10.1109/mvhi.2010.85

[5] Peleg S, Rousso B, Rav-Acha A, et al. Mosaicing on adaptive manifolds[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2000, 22(10): 1144-1154.

DOI: 10.1109/34.879794

[6] Shixiang Cao, Jie Jiang, Guangjun Zhang. Multi-Scale Image Mosaic Using Features from Edge[J]. Computer Research and Development, 2011, 48 (9): 1788-1793.

[7] Guoqing Chou, Hanqing Feng, Tianyue Jiang, etc. Improved Image Mosaic Algorithm Based on Harris Corner[J]. Computer Science, 2012, 39 (11): 264-266.

[8] ZENG L, SUN S, ZHANG Y, et al. Adaptive Real-time Video Image Mosaicing System[J]. Journal of Computational Information Systems, 2013, 9(9): 3637-3644.

[9] Szeliski R. Video mosaics for virtual environments[J]. Computer Graphics and Applications, IEEE, 1996, 16(2): 22-30.

DOI: 10.1109/38.486677

[10] ZHANG R, ZHANG J, YANG C. Image registration approach based on SURF [J]. Infrared and Laser Engineering, 2009, 1: 041.

[11] Kai X, Wei L. Image mosaic based on kernel regression[C]. Computer Application and System Modeling (ICCASM), 2010 International Conference on. IEEE, 2010, 3: V3-194-V3-197.

DOI: 10.1109/iccasm.2010.5620039

[12] Islam M R, Naser M A, Hasan M R, et al. Using catadioptric sensor to obtain image of the inner surface of a pipe and detection and analysis of faults by image processing[C]. Computer and Information Technology (ICCIT), 2011 14th International Conference on. IEEE, 2011: 607-610.

DOI: 10.1109/iccitechn.2011.6164860

[13] Hongzhi W, Meijing L, Liwei Z. The distortion correction of large view wide-angle lens for image mosaic based on OpenCV[C]. Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on. IEEE, 2011: 1074-1077.

DOI: 10.1109/mec.2011.6025652

[14] Fuqiang Peng, Distortion Correction for the Gun Barrel Bore Panoramic Image, unpublished.

[15] Xiaojuan Li. The research of image mosaic technology[D]. ​​Xi'an University of Electronic Science and Technology, (2007).

[16] Sui C, Kwok N M, Ren T. Image mosaic construction using feature matching and weighted fusion[C]. Image and Signal Processing (CISP), 2010 3rd International Congress on. IEEE, 2010, 6: 2782-2786.

DOI: 10.1109/cisp.2010.5647600