[IPOL announce] new article: A C++ Implementation of Otsu’s Image Segmentation Method

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/158/

Juan Pablo Balarini, and Sergio Nesmachnow,
A C++ Implementation of Otsu’s Image Segmentation Method,
Image Processing On Line, 6 (2016), pp. 155–164.
http://dx.doi.org/10.5201/ipol.2016.158

Abstract
This article presents a functional implementation of the Otsu’s 
segmentation method and a case study using multiple images. Otsu’s 
method performs nonparametric and unsupervised image thresholding, 
usually used on image segmentation. The algorithm finds an optimal 
threshold of an image by minimizing the within-class variance, using 
only the gray-level histogram of the image. The proposed implementation 
is conceived emphasizing the role of mathematics as a source for 
algorithm design and the reproducibility of the research, according to 
the Image Processing On Line (IPOL) philosophy.