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Reseach Article

Reassembly of 2D Fragments in Image Reconstruction

by Ravi Saharan, Choudhary Vijaypal Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 5
Year of Publication: 2011
Authors: Ravi Saharan, Choudhary Vijaypal Singh
10.5120/2354-3077

Ravi Saharan, Choudhary Vijaypal Singh . Reassembly of 2D Fragments in Image Reconstruction. International Journal of Computer Applications. 19, 5 ( April 2011), 41-45. DOI=10.5120/2354-3077

@article{ 10.5120/2354-3077,
author = { Ravi Saharan, Choudhary Vijaypal Singh },
title = { Reassembly of 2D Fragments in Image Reconstruction },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 5 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number5/2354-3077/ },
doi = { 10.5120/2354-3077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:14.637636+05:30
%A Ravi Saharan
%A Choudhary Vijaypal Singh
%T Reassembly of 2D Fragments in Image Reconstruction
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 5
%P 41-45
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital images may be considered as collection of pixels. If a single image is divided into more than one part, then these subparts are treated as fragments for an image.Joining of 2D fragments of an in image means we have to reassemble these image’s fragments. The joining of fragments to reconstruct images and objects is a problem associated in several applications, like archeology, medicine, art restoration, and forensics.We mainly focused on 2D Image Reconstruction by joining two 2D fragments. This approach is based on the information generated from the boundary and from the color contents of the two fragments. Local curvature is calculated to obtain transformation independent coordinates. Based on this information comparison is done to obtain maximum matching parts among fragments. Finally longest matching parts can be joined to obtain single image.

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Index Terms

Computer Science
Information Sciences

Keywords

Archeology Boundarypixels Color contents Curvature Digital images Fragments