Heuristic threshold for Histogram-based Binarization of Grayscale Images
DOI:
https://doi.org/10.15381/idata.v17i1.12043Keywords:
automatic binarization, digital image processing, grayscale histogram, thresholdingAbstract
The development of a Virtual Lab to perform experiments on histogram-based binarization of grey-leveled images is reported. With the aim of automatizing the binarization process, a Heuristic Binarization Threshold is introduced. Once the histogram of a grayscale input image is obtained, the module calculates a Heuristic Threshold by taking the weighted average of the foreground grey levels of the image. Next those pixels in input image whose grey levels are above this threshold are highlighted. Although still not experimentally optimum, this heuristic threshold provides a first approximation towards automatic binarization of greyscale images.Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2014 Javier Montenegro Joo
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
AUTHORS RETAIN THEIR RIGHTS:
a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.
b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.
c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).
