CFP last date
20 December 2024
Reseach Article

Mosaic Evaluation: an Efficient and Robust Method based on Maximum Information Retrieval

by Kantilal P. Rane, Mayur B. Limbachiya, Shrirang S. Pandit, Sunil G. Bhirud
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 12
Year of Publication: 2013
Authors: Kantilal P. Rane, Mayur B. Limbachiya, Shrirang S. Pandit, Sunil G. Bhirud
10.5120/12793-0044

Kantilal P. Rane, Mayur B. Limbachiya, Shrirang S. Pandit, Sunil G. Bhirud . Mosaic Evaluation: an Efficient and Robust Method based on Maximum Information Retrieval. International Journal of Computer Applications. 73, 12 ( July 2013), 22-26. DOI=10.5120/12793-0044

@article{ 10.5120/12793-0044,
author = { Kantilal P. Rane, Mayur B. Limbachiya, Shrirang S. Pandit, Sunil G. Bhirud },
title = { Mosaic Evaluation: an Efficient and Robust Method based on Maximum Information Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 12 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number12/12793-0044/ },
doi = { 10.5120/12793-0044 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:57.138888+05:30
%A Kantilal P. Rane
%A Mayur B. Limbachiya
%A Shrirang S. Pandit
%A Sunil G. Bhirud
%T Mosaic Evaluation: an Efficient and Robust Method based on Maximum Information Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 12
%P 22-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Performance Evaluation Process for video mosaic algorithms is developed on the basis of maximum information retrieval through closeness and residue between the original input images/ actual frames and the estimated images/frames from mosaic image. This evaluation method can be applicable to image as well as video mosaicing methods. Estimation of original input images/video frames and maximum information retrieval in terms of closeness/residue are the major steps involved in it. Without specific design of standard database, this method evaluates the mosaics in reference with the information in original input images/frames through a unique and single valued metric. Problems in case of mosaicing in complex condition like nonlinear vertical distortions and geometrical distortions in image and video capturing are discussed. Performance results are tested and compared with different mosaic images from different mosaic algorithms presented before.

References
  1. R. Marzotto, A. Fusiello, V. Murino, "High resolution video mosaicing with global Alignment," In Computer Vision and Pattern Recognition, volume 1, pages I–692–I–698, 2004.
  2. Azzari P, Stefano L. D, and Mattoccia S, " An evaluation methodology for image mosaicing algorithms. ," Proceedings ACIVS, Juan-les-Pins, France , pp. 89–100, 2008.
  3. Brown M, "Multi-image matching using invariant features," Ph. D. thesis, University of British Columbia, Vancouver, BC, pp. 74–87, 2005.
  4. Boutellier J, Silvén O, Tico M, Korhonen L, "Objective evaluation of image mosaics," Commun. Comp. Info. Sci. vol: 21, 107–117, 2009.
  5. Birgit Möller, Rafel Garcia, Stefan Posch, "Towards objective quality assessment of image registration results," In Proceedings of the 2nd International Conference on Computer Vision Theory and Applications, VISAPP, pp: 233-240, 2007.
  6. Vladimir Petrovi´c, Costas Xydeas, "Objective image fusion performance characterization, "In Proceedings of the Tenth IEEE International Conference on Computer Vision, vol. 2, pp: 1866–1871, 2005.
  7. Li-hui Zou, Jie Chen, Juan Zhang, "Assessment approach for image mosaicing algorithms," Opt. Eng. Vol. 50(11), Nov 2011.
  8. Alexander Behrens, Michael Bommes, Sebastian Gross, Til Aach, "Image Quality Assessment of Endoscopic Panorama Images," Proceedings of IEEE International Conference on Image Processing-ICIP, 2011.
  9. Christopher Coffin, Sehwan Kim, Tobias Hollerer, "Evaluation of four methods for real time panorama acquisition," Phd thesis, University of California, Santa Barbara.
  10. Pierre Désaulniers, Simon Thibault, "Performance evaluation of panoramic electro-optic imagers using the TOD method," Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, Proc. of SPIE, Vol. 801409, 2011.
  11. Rand Shaker Al Ani, "An evaluation of the Film–Based and Digital Panoramic Radiographic Quality," Al Rafidain Dent J, vol. 8(1), pp: 67-71, 2008.
  12. Dove SB, McDavid WD, Welander U, Tronje G, "Preliminary evaluation of a digital system for rotational panoramic radiography ," Oral Surg Oral Med Oral Pathol, vol. 73(5), pp:623-32, May1992.
  13. Ladeirua DB, Cruz AD, Almeida SM, Bóscolo FN. , "Evaluation of the panoramic image formation in different anatomic positions," Braz Den Journal, vol. 21(5), pp: 458-62, 2010.
  14. ] Andrzej Glowacz, Michal Grega, Piotr Romaniak, and Miko?aj Leszczuk, "Quality Evaluation of Compressed Panoramic Images Constructed using MPEG-7-Based Image Registration," Next Generation Internet Networks, 2008. NGI 2008, pp: 167 – 172.
  15. Igor Potucek, Vitezslav Beran, Stanislav Sumec and Pavel Zemcik , "Evaluation and comparison tracking methods using meeting omnidirectional images,"pp:3-15,2007.
  16. Kantilal P. Rane, S. G. Bhirud, "Image Mosaicing with Strip Search Algorithm based on a Novel Similarity Measure," International Journal of Computer Applications vol. 27 (2), pp: 42-47, August 2011.
  17. Benedict Brown, Philip Shilane, "Image Mosaic," http://www. cs. princeton. edu/~bjbrown/ mosaic/Benedict Brown and Philip Shilane. mht.
  18. Wexler, Y. Simakov, "Space-time manifolds," Tenth IEEE International Conference on Computer Vision, vol: 1, pp: 858-863, 2005.
  19. Andrew Hazelden, "Andrrew Hazelden's Blog: A blog about photography, visual effects, and electronics," http://www. andrewhazelden. com/blog/auther/andrew/CHDK. mht.
Index Terms

Computer Science
Information Sciences

Keywords

Mosaic evaluation Image mosaic Strip search.