文章基本信息

标题：A C++ Implementation of Otsu’s Image Segmentation Method
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作者：Juan Pablo Balarini ; Sergio Nesmachnow
期刊名称：Image Processing On Line
电子版ISSN：2105-1232
出版年度：2016
卷号：6
页码：155-164
DOI：10.5201/ipol.2016.158
出版社：Image Processing On Line
摘要：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.