Entropy Power for Thresholding Technique in Image Processing

Franck Luthon (1) , Marc Liévin (2)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 LIS - Laboratoire des images et des signaux

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Franck Luthon, Marc Liévin. Entropy Power for Thresholding Technique in Image Processing. XI European Signal Processing Conf. (EUSIPCO'02), Sep 2002, Toulouse, France. pp.605-608. ⟨hal-00814896⟩