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Reseach Article

Extraction of Random Data from .png/.tif/.jpeg Image using Prewitt Operator

by Tushar Nayyar, Sarvpreet Singh, Karamdeep Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 2
Year of Publication: 2017
Authors: Tushar Nayyar, Sarvpreet Singh, Karamdeep Singh
10.5120/ijca2017912966

Tushar Nayyar, Sarvpreet Singh, Karamdeep Singh . Extraction of Random Data from .png/.tif/.jpeg Image using Prewitt Operator. International Journal of Computer Applications. 160, 2 ( Feb 2017), 7-12. DOI=10.5120/ijca2017912966

@article{ 10.5120/ijca2017912966,
author = { Tushar Nayyar, Sarvpreet Singh, Karamdeep Singh },
title = { Extraction of Random Data from .png/.tif/.jpeg Image using Prewitt Operator },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 2 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number2/27043-2017912966/ },
doi = { 10.5120/ijca2017912966 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:20.045028+05:30
%A Tushar Nayyar
%A Sarvpreet Singh
%A Karamdeep Singh
%T Extraction of Random Data from .png/.tif/.jpeg Image using Prewitt Operator
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 2
%P 7-12
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this article, a method has been proposed which can be utilized for the extraction of random required data from .jpeg/.png/.tif images. Firstly, the concepts of edge detection in image processing and how it can be used for various applications are being introduced. Then, various steps that are involved in the process of edge detection are discussed in the paper. An algorithm has been developed for the extraction of required data from .jpeg/.png/.tif images. MATLAB® has been used to carry out numerical simulations. It has been found in the study that for the efficient extraction of data from .jpeg/.png/.gif/.tif images, the font size should be > 36 and the considered image should be a high contrast with threshold 0.1 to 0.34.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pixels MATLAB® Masking Prewitt Sobel