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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
journal cover thumbnail

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Mosaic evaluation Image mosaic Strip search.

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