Cross-Entropy Based Image Thresholding

• Authors: Mateusz Malik , Przemysław Spurek , Jacek Tabor
• Languages of publication: 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).

Keywords

PL

Cross-Entropy Clustering, thresholding, binarization, Otsu

• Publisher: [unknown2]
• Journal: Schedae Informaticae
• Year: 2015
• Volume: 24

Dates

published

2015

online

06 - 07 - 2016

Contributors

author

Mateusz Malik

author

Przemysław Spurek

author

Jacek Tabor