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An Implementation of Enhanced Image Morphing Algorithm using Hybrid Approach

by Jignasha B Panchal, Krupali R Shah, Nidhi J Sanghani, Rutvij H Jhaveri
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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
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Index Terms

Computer Science
Information Sciences

Keywords

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

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