Details

Autor(en) / Beteiligte

• Wu, Xue-Jing
• Zhang, Yi-Jun
• Xia, Liang-Zheng

Titel

A fast recurring two-dimensional entropic thresholding algorithm

Ist Teil von

• Pattern recognition, 1999-12, Vol.32 (12), p.2055-2061

Ort / Verlag

Oxford: Elsevier Ltd

Erscheinungsjahr

1999

Link zum Volltext

Quelle

Elsevier Journal Backfiles on ScienceDirect (DFG Nationallizenzen)

Beschreibungen/Notizen

• Thresholding is an important form of image segmentation and is used in the processing of images for many applications. One of the criteria to select a suitable threshold is the maximization of the two-dimensional (2-D) entropies based on the 2-D (gray-level/local average gray-level) histogram. The rationale of this approach is introduced. In order to reduce the computation time of entropy function, a fast recurring algorithm for 2-D entropic thresholding method is presented. The experimental results show that the processing time to obtain the threshold vector from 2-D histogram is reduced from 30 to 0.15 s.