A Basic Knowledge of Image Morphing

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2015-02-18 DOI:10.26472/ijces.v1i2.21
Aakanksha Patel
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引用次数: 1

Abstract

The term "morphing" is used to describe the combination of generalized image warping with a crossdissolve between image elements. The term is derived from "image metamorphosis". Morphing is an image processing technique typically used as an animation tool for the metamorphosis from one image to another. The idea is to specify a warp that distorts the first image into the second. Its inverse will distort the second image into the first..The morph process consists of warping two images so that they have the same "shape", and then cross dissolving the resulting images. Cross- dissolving is the major problem as how to warp an image. In this paper I have concentrated on one of the methodology of image morphing named “Mesh Warping”.
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图像变形的基本知识
“变形”一词用于描述广义图像变形与图像元素间交叉溶解的结合。这个词来源于“形象变形”。变形是一种图像处理技术,通常用作从一个图像到另一个图像变形的动画工具。这个想法是指定一种扭曲,将第一幅图像扭曲成第二幅图像。变形过程包括扭曲两幅图像,使它们具有相同的“形状”,然后交叉溶解生成的图像。交叉溶解是图像变形的主要问题。在本文中,我集中讨论了一种名为“网格变形”的图像变形方法。
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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