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Reseach Article

Multiple Feature Extraction Techniques in Image Stitching

by Taherim S. Shaikh, Archana B. Patankar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 15
Year of Publication: 2015
Authors: Taherim S. Shaikh, Archana B. Patankar
10.5120/ijca2015905747

Taherim S. Shaikh, Archana B. Patankar . Multiple Feature Extraction Techniques in Image Stitching. International Journal of Computer Applications. 123, 15 ( August 2015), 29-33. DOI=10.5120/ijca2015905747

@article{ 10.5120/ijca2015905747,
author = { Taherim S. Shaikh, Archana B. Patankar },
title = { Multiple Feature Extraction Techniques in Image Stitching },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 15 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number15/22037-2015905747/ },
doi = { 10.5120/ijca2015905747 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:48.837118+05:30
%A Taherim S. Shaikh
%A Archana B. Patankar
%T Multiple Feature Extraction Techniques in Image Stitching
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 15
%P 29-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image stitching is the process of combining two or more images with overlapping area to produce a panorama of input images. In order to improve performance of creation of panorama, approach that combine different keypoint extraction methods can be used. This paper proposes a methodology for image stitching process that combines various feature detection and extraction algorithms. First, image stitching will be done based on feature keypoint matches. Final image with seam will be blended with image blending technique. The paper summarizes 3 robust feature detection and extraction algorithms namely SURF, SIFT and MSER. Combined set of keypoints will be used for image transformation. According to proposed system, multiple feature extraction techniques can be used for image stitching which can build seamless panorama image.

References
  1. Luo Juan1, Oubong Gwun, “SURF applied in Panorama Image Stitching”, IEEE Computer Graphics Lab, Computer Science & Computer Engineering,Chonbuk National University, Jeonju 561-756, South Korea,2010.
  2. Bay H, Tuytelaars T, van Gool L J.SURF: Speeded Up Robust Features[C]//European Conference on Computer Vision, 2006, I: 404-417.
  3. Aathreya S. Bhat, Amith V. Shivaprakash, Namrata S. Prasad, Chaitra Nagaraj “Template Matching Technique for Panoramic Image Stitching”,IEEE Transactions On Image Processing, 978-0-7695-5101-2/13 © 2013 IEEE.
  4. Meng You, Jong Seok Lim, Wook Hyun Kim, “Panoramic image stitching using SURF”, Yeungam univercity.
  5. J. Matas, O. Chum, M. Urban, T. Pajdla:”Robust Wide Baseline stereo from maximally stable extreamal regions”, British machine vision conference, 384-393,2002.
  6. Maja Rudinac, Boris Lenseigne, Pieter Jonker, “Keypoint extraction and selection for object recognition”,MVA2009 IAPR conference on Machine Vision Applications, May 20-22,2009, Yokohama,JAPAN.
  7. J.M. Morel and G. Yu. ASIFT: A new framework for fully affine invariant image comparison. SIAM Journal on Imaging Sciences, 2(2):438–469, 2009.
  8. Donoser, M.; Bischof, H. “Efficient Maximally Stable Extremal Region (MSER) Tracking”. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2006, pp.553-56.
  9. Luo Juan and Oubong Gwun, ―A Comparison of SIFT, PCA-SIFT and SURF‖ International Journal of Image Processing (IJIP), Volume(3): Issue (4) 2009.
  10. Marius Muja, David G. Lowe,” FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION”, Computer Science Department, University of British Columbia, Vancouver, B.C., Canada.
  11. Cedric All ´ ene, Jean-Philippe Pons and Renaud Keriven, ”Seamless Image-Based Texture Atlases using Multi-band Blending”, CERTIS, Ecole des ponts, Paris-Est, France.
  12. Adam Schimidit, Marek Kraft, Michat Fularz, Zuzanna Domagala,”THE COMPARISON OF POINT FEATURE DETETORS AND DESCRIPTORS AND DESCRIPTORS IN THE CONTEXT OF ROBOT NAVIGATION”,Workshop on Perception for Mobile Robots Autonomy 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Keypoints Detectors Descriptors SURF SIFT MSER RANSAC FLANN