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Local Adaptive Automatic Binarisation (LAAB)

by T. Romen Singh, Sudipta Roy, Kh. Manglem Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 6
Year of Publication: 2012
Authors: T. Romen Singh, Sudipta Roy, Kh. Manglem Singh
10.5120/4961-7218

T. Romen Singh, Sudipta Roy, Kh. Manglem Singh . Local Adaptive Automatic Binarisation (LAAB). International Journal of Computer Applications. 40, 6 ( February 2012), 27-30. DOI=10.5120/4961-7218

@article{ 10.5120/4961-7218,
author = { T. Romen Singh, Sudipta Roy, Kh. Manglem Singh },
title = { Local Adaptive Automatic Binarisation (LAAB) },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 6 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number6/4961-7218/ },
doi = { 10.5120/4961-7218 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:27:49.917912+05:30
%A T. Romen Singh
%A Sudipta Roy
%A Kh. Manglem Singh
%T Local Adaptive Automatic Binarisation (LAAB)
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 6
%P 27-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most of the binarization techniques associate a certain intensity value called threshold which separate the pixel values of the concerned input grey scale image into two classes like background and foreground. Each and every pixel should be compared with the threshold and transformed to its respective class according to the threshold value. In this paper an automatic binarisation technique with local adaptation without any intensity value (threshold) of partition, is described. It creates a binarised image by transforming the input image to its respective binarised image automatically without using any threshold value. It uses local mean to adapt to local environment within a window of size WxW. Local mean determination is time consuming one and to reduce the time consumption, integral sum image is used as prior process. The input grey scale image is self transformed to an integral sum image within itself and then transform to binary image from the integral sum image itself.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Binarisation local adaptive integral sum image autobinarization

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