We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Image Mosaicing with Strip Search Algorithm based on a Novel Similarity Measure

by Kantilal P.Rane, S.G.Bhirud
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 2
Year of Publication: 2011
Authors: Kantilal P.Rane, S.G.Bhirud
10.5120/3272-4439

Kantilal P.Rane, S.G.Bhirud . Image Mosaicing with Strip Search Algorithm based on a Novel Similarity Measure. International Journal of Computer Applications. 27, 2 ( August 2011), 42-47. DOI=10.5120/3272-4439

@article{ 10.5120/3272-4439,
author = { Kantilal P.Rane, S.G.Bhirud },
title = { Image Mosaicing with Strip Search Algorithm based on a Novel Similarity Measure },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 2 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number2/3272-4439/ },
doi = { 10.5120/3272-4439 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:47.103656+05:30
%A Kantilal P.Rane
%A S.G.Bhirud
%T Image Mosaicing with Strip Search Algorithm based on a Novel Similarity Measure
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 2
%P 42-47
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A novel mosaic technique based on Strip Search Algorithm is proposed that improves non-linearity, accuracy and vertical distortions possibly found in mosaic image. Strip Search Algorithm based on novel measure of Relative- Sum of the Squared Difference (R-SSD) is proposed to search particular strip of frame within its specified portion and it is used for normalization and simplification of some important steps of image mosaic. Steps like key frames selection, frames registration, their transformation and combination are suggested for mosaic creation. An optimal criterion is suggested for key frames selections. Hierarchical Seam Line Estimation and Vertical Strip Registration are introduced for precise image warping and distortion-less vertical transformation. Structural linearity, precision and non-deformation property reflects from mosaic results of proposed algorithm.

References
  1. Gao Guandong Jia Kebin, “A New Image Mosaics Algorithm Based on Feature Points Matching”, Second International Conference on Innovative Computing, Information and Control, 2007. ICICIC '07, 471 – 471, Sept. 2007.
  2. Lingjia Gu, JiLin Univ., Jilin, “An Automatic Target Image Mosaic Algorithm”, The International Conference on "Computer as a Tool" EUROCON, 2007, 369 – 374, Sept. 2007.
  3. Wan, Yanli Miao, Zhenjiang Chen, Jing, “A Robust Image Mosaic Algorithm”, Image and Signal Processing, 2008 Congress, 766 – 770, May 2008.
  4. Yanli Wan, Zhenjiang Miao, “Automatic panorama image mosaic and ghost eliminating”, IEEE International Conference on Multimedia and Expo-2008, 945 – 948, April 26 2008.
  5. Yi Wang Camargo, A. Fevig, R. Martel, F. Schultz, R.R. “Image Mosaicking from Uncooled Thermal IR Video Captured by a Small UAV”, IEEE Southwest Symposium on Image Analysis and Interpretation, 2008. SSIAI 2008, 161 – 164, March 2008.
  6. Melvin Sze-Ming Ni, Three-Dimensional Mapping and Navigation with Stereo Vision”, Thesis of Aeronautics and Astronautics of Stanford University, December 2000.
  7. M.Brown, D.G.Lowe, “Recognising Panoramas” Proceddings of Ninth IEEE International Conference on Computer Vision (ICCV-03).
  8. Panli He, Xiaowei Han, Tianmin Deng, “A new method of color image mosaic”, 7th World Congress on Intelligent Control and Automation, 2008. WCICA 2008, 7757 – 7761, June 2008.
  9. Yang, Guosheng -Zhang, Huanlong Yang, YuLin, “Study of Image Mosaic Based on the Method of Finite Difference”, Image and Signal Processing, 2008 Congress, 436 – 440, May 2008.
  10. Wexler, Y. Simakov, D., “Space – time scene manifolds”, Tenth IEEE International Conference on Computer Vision, 2005. ICCV 2005, 1, 858 – 863, Oct. 2005.
  11. Shmuel Peleg, Benny Rousso, Alex RAv-Acha, Assaf Zomet, “Mosaicing on Adaptive Manifolds”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol 22, No. 10, PP 1144-1154, October 2000.
  12. Shmuel Peleg, Moshe Ben- Ezra, Yael Pritch, “Omnistereo: Panoramic Stereo Images”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol 23, No 3, PP 279-290, March 2001.
  13. Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P. Simoncelli, “Image Quality Assessment: from error visibility to structural Similarity ” IEEE transaction on image processing Vol 13, No.4, PP 600- 612, April 2004.
  14. Ging Li, quan Pan, Tao Yang, Stan. Z.Li, “Automated Feature Point management for video mosaic construction”, proceeding of the third International Conference on Information Technology and Application (ICITA05), 2005.
  15. M.Brown, D.G.Lowe, “Recognising Panoramas”, Proceddings of Ninth IEEE International Conference on Computer Vision (ICCV-03).
  16. Melvin Sze-Ming Ni, Three-Dimensional Mapping and Navigation with Stereo Vision”, Thesis of Aeronautics and Astronautics of Stanford University, December 2000.
  17. 31 M.Brown, D.G.Lowe, “Recognising Panoramas”, Proceddings of Ninth IEEE International Conference on Computer Vision (ICCV-03).
  18. Ming Shing Su, Wen –Liang Hwang, Kuo-Young Cheng, “Analysis of Multiresolution Mosaic Images”, IEEE Transaction of Image Processing Vol 13 , no.7, July 2004, PP 952-959.
  19. Horizontal Blending Algorithm, http://www.eecis.udel.edu/~qili/ta/cis489/2/
Index Terms

Computer Science
Information Sciences

Keywords

Image stitching Image registration Similarity measure Key frame selection