CFP last date
20 June 2024
Call for Paper
July Edition
IJCA solicits high quality original research papers for the upcoming July edition of the journal. The last date of research paper submission is 20 June 2024

Submit your paper
Know more
Reseach Article

An Implementation of Enhanced Image Morphing Algorithm using Hybrid Approach

by Jignasha B Panchal, Krupali R Shah, Nidhi J Sanghani, Rutvij H Jhaveri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 20
Year of Publication: 2013
Authors: Jignasha B Panchal, Krupali R Shah, Nidhi J Sanghani, Rutvij H Jhaveri
10.5120/11199-6250

Jignasha B Panchal, Krupali R Shah, Nidhi J Sanghani, Rutvij H Jhaveri . An Implementation of Enhanced Image Morphing Algorithm using Hybrid Approach. International Journal of Computer Applications. 66, 20 ( March 2013), 14-18. DOI=10.5120/11199-6250

@article{ 10.5120/11199-6250,
author = { Jignasha B Panchal, Krupali R Shah, Nidhi J Sanghani, Rutvij H Jhaveri },
title = { An Implementation of Enhanced Image Morphing Algorithm using Hybrid Approach },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 20 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number20/11199-6250/ },
doi = { 10.5120/11199-6250 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:56.358919+05:30
%A Jignasha B Panchal
%A Krupali R Shah
%A Nidhi J Sanghani
%A Rutvij H Jhaveri
%T An Implementation of Enhanced Image Morphing Algorithm using Hybrid Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 20
%P 14-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Morphing belongs to image processing defined as the animated transformation of one image into another, deliberately creates special effects, an essential in many multimedia systems and medical imaging field applications. In this paper, a digital image morphing technique is proposed with four phases. The initial phase of the stated algorithm takes source and destination image as an input from the specified location or through the webcam. The second phase deals with finding pixels by grid view of images for tracking the features such as eyes, mouth, nose, lips, ears and face. The third phase deals with mapping pixels from source image to destination image and then generate intermediate image with color interpolation and image transition. The forth most important phase of the process is generation of the final morphed resultant image in the number of certain required phases. This whole process, commonly known as morphing, is realized by combination of image warping with color interpolation or cross-dissolving. The results show that the proposed approach is simple and takes less time to generate the morph.

References
  1. Bhumika H. Bhatt, Hita M. Joshi, "Feature based Image Morphing", International Journal of Computer Science & Technology, vol. 2, issue 3, pp. 46-47, sept. 2011.
  2. Urvshi Bhushan, Dr. G. P. Saroha and Disha Tivari, "An implemention of image morphing through mesh morphing algorithm", Journal of Computer Science, vol. 2, issue 7, pp. 74-76, Jul. 2012.
  3. George Wolberg, "Image Morphing Survey", Department of Computer Science, City College of New York, New York, USA, Jun. 1998.
  4. Seungyong Lee, George Wolberg and Sung Yong Shin, "Polymorph:An Algorithm for Morphing among multiple images", Visual Computer(1998), Springer-Verlag, 1998, pp. 360-371, Jul. 2008.
  5. Manfred Kopp,Werner Purgthofer, "Multi Resolution Image Morphing", Vienna Univ. of Technology, Institute of Computer Graphics, Austria, Jul. 2004.
  6. Srinath Setty, Swati Rallapalli "Implemention of Morphing Algorithm with feature based Image metamorphosis", The Univ. of Texas, Austin, Jun. 2010
  7. Anat M. Bagade, S. N. Talbar, "Image morphing cocept of secure transmission image data contents over internet", Journal of Computer Science, pp. 987-992, Jul. 2010.
  8. George Wolberg, "Recent Advance in Image Morphing", M. Eng. thesis, Department of Computer Science, City College of New York, New York, USA, Jun. 1996.
  9. Prashant K. Oswal,Prashanth Y. Govindaraju, "Image Morphing: A Comparative Study", Department of Electrical and Computer Engineering, Clemson Univ. , Clemson Eng. , Clemson, sept. 2010.
  10. Lei Zhu,Yan Yang,Steven Haker and Allen Tannenbaum, "An Image Morphing Technique Based on Optimal Mass Preserving Mapping", IEEE Transactions on Image Processing, vol. 16, no. 6,pp. 1481-1483, Jun. 2007.
  11. Kinjal N. Shah, Tushar Gohil, "Image Morphing", Department of Information Technology, SCET, Tech. Rep. 6-9, Sept. 2007-2008
  12. Aleandru Vlad FECIORESSCU, "Image Morphing Techniques," Journal of Industrial Design and Engineering Graphics, vol. 5, issue 1, pp. 25-28, Jun. 2010.
  13. Pramod Potlri, Krshna Sagriraj and Venkatachalam Tubati "Image Morphing: Feature based,view,Mesh", Department of Electrical and Computer Eng. , Clemson Univ. , Clemson Eng. , Clemson, Aug. 2009.
  14. Robert de Waard, "Image Morphing Algorithm", Aug. 2011. http://www. infi. nl/blog/view/id/116/Image_Morph_Algorithm
  15. Martin Bichsel, "Automatic Interpolation and Recognition of Face Images by Morphing", 2nd international conference on automatic face and gesture recognition, pp. 128-135, Jan. 2001.
  16. Manolis,Manolis Kamvysselis, Matt D. Blum and Hooman Vassef,Krzysztof Gajos, "3D Morphing", Tech. Rep. 1-13, Nov. 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Image Morphing Cross-dissolving Warping Feature based Morphing Mesh warping Field Morphing Metamorphosis