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Article:Enhancement of Image Resolution by Binarization

by Aroop Mukherjee, Soumen Kanrar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 10
Year of Publication: 2010
Authors: Aroop Mukherjee, Soumen Kanrar
10.5120/1519-1942

Aroop Mukherjee, Soumen Kanrar . Article:Enhancement of Image Resolution by Binarization. International Journal of Computer Applications. 10, 10 ( November 2010), 15-19. DOI=10.5120/1519-1942

@article{ 10.5120/1519-1942,
author = { Aroop Mukherjee, Soumen Kanrar },
title = { Article:Enhancement of Image Resolution by Binarization },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 10 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number10/1519-1942/ },
doi = { 10.5120/1519-1942 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:21.510638+05:30
%A Aroop Mukherjee
%A Soumen Kanrar
%T Article:Enhancement of Image Resolution by Binarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 10
%P 15-19
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image segmentation is one of the principal approaches of image processing. The choice of the most appropriate Binarization algorithm for each case proved to be a very interesting procedure itself. In this paper, we have done the comparison study between the various algorithms based on Binarization algorithms and propose a methodologies for the validation of Binarization algorithms. In this work we have developed two novel algorithms to determine threshold values for the pixels value of the gray scale image. The performance estimation of the algorithm utilizes test images with, the evaluation metrics for Binarization of textual and synthetic images. We have achieved better resolution of the image by using the Binarization method of optimum thresholding techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Thresholding Binarization Optimum Threshold Mean Value

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