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Paper data
Entropy Power for Thresholding Technique in Image Processing

Luthon Franck, University of Pau, France
Lievin Marc, CAESAR, Bonn, Germany

Page numbers in the proceedings:
Volume I pp 605-608

Video Processing

Paper abstract
This paper deals with an entropic approach as unsupervised thresholding technique for image processing, in order to extract a relevant binary information from noisy data. The method is based on the computation of the entropy power of the information source, as defined by Shannon. The threshold used for binarization is proportional to the entropic deviation of the observation source. The performance of the approach is illustrated by two classical image preprocessing tasks, namely motion detection and edge detection. The evaluation set contains both synthetic data and real-world image sequences.

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