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2015 | 24 |
Article title

Cross-Entropy Based Image Thresholding

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PL
Abstracts
PL
This paper presents a novel global thresholding algorithm for the binarization of documents and gray-scale images using Cross-Entropy Clustering. In the first step, a gray-level histogram is constructed, and the Gaussian densities are fitted. The thresholds are then determined as the cross-points of the Gaussian densities. This approach automatically detects the number of components (the upper limit of Gaussian densities is required).
Publisher
Year
Volume
24
Physical description
Dates
published
2015
online
06 - 07 - 2016
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YADDA identifier
bwmeta1.element.ojs-issn-2083-8476-year-2015-volume-24-article-6331
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