Entropic Thresholding Using a Block Source Model

Entropic Thresholding Using a Block Source Model

Since the pioneer work of Frieden ( J. Opt. Soc. Am. 62, 1972, 511-518; Comput. Graphics Image Process. 12, 1980, 40-59), the entropy concept is increasingly used in image analysis, especially in image reconstruction, image segmentation, and image compression. In the present paper a new entropic thr...

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Veröffentlicht in:Graphical models and image processing 1995-05, Vol.57 (3), p.197-205
Hauptverfasser: Beghdadi, Azeddine, Le Négrate, Alain, de Lesegno, Patrick Viaris
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
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Zusammenfassung:Since the pioneer work of Frieden ( J. Opt. Soc. Am. 62, 1972, 511-518; Comput. Graphics Image Process. 12, 1980, 40-59), the entropy concept is increasingly used in image analysis, especially in image reconstruction, image segmentation, and image compression. In the present paper a new entropic thresholding method based on a block source model is presented. This new approach is based on a distribution-free local analysis of the image and does not use higher order entropy. Our method is compared to the existing entropic thresholding methods.
ISSN:1077-3169
1090-2481
DOI:10.1006/gmip.1995.1019