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Approches de segmentation basées sur la texture pour les images médicales
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ISBN10: 6209309100
ISBN13: 9786209309106
Publisher: Editions Notre Savoir
Published: Nov 27 2025
Pages: 120
Weight: 0.38
Height: 0.28 Width: 6.00 Depth: 9.00
Language: French
ISBN13: 9786209309106
Publisher: Editions Notre Savoir
Published: Nov 27 2025
Pages: 120
Weight: 0.38
Height: 0.28 Width: 6.00 Depth: 9.00
Language: French
Au cours des dernières années, l'atomisation du diagnostic médical a connu une croissance exponentielle. L'une des étapes les plus critiques et les plus importantes de l'analyse d'images est la segmentation. Les résultats de la segmentation jouent un rôle crucial et essentiel dans l'analyse d'images, notamment dans la représentation, la mesure des caractéristiques, la description, et même dans la classification et l'interprétation. La présente étude propose diverses méthodes innovantes de segmentation pour les images médicales. Les méthodes de segmentation proposées sont basées sur des concepts dérivés de combinaisons de morphologie, de transformée en ondelettes discrètes (DWT), de transformée en ondelettes stationnaires (SWT), de filtres de contours, de seuillage et de méthodes basées sur la texture. Les avantages des méthodes morphologiques sont le filtrage du bruit, la squelettisation, l'épaississement, le marquage des objets, la simplification des formes, l'amincissement, l'enveloppe convexe, la segmentation des objets par rapport à l'arrière-plan, la description quantitative des objets (projections, aire, périmètre). Dans cet ouvrage, plusieurs méthodes de segmentation des images de tuberculose (TB) ont été abordées. La TB est une infection bactérienne chronique qui cause plus de décès dans le monde que toute autre maladie infectieuse.
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