[IPOL announce] new article: A C++ Implementation of Otsu’s Image Segmentation Method
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Sun Jul 10 00:42:23 CEST 2016
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.
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