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Medical Image Registration using a Graph Theoretic Method
Medical Image Processing
Taschenbuch von Muhannad Al-Hasan
Sprache: Englisch

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Beschreibung
Image registration is an important problem for image processing and computer vision with many applications. IR techniques attempt to map corresponding features between two images. The problem is particularly difficult in medical image analysis as anatomy may be subject to elastic deformation. This research considers this problem in the context of graph matching. Firstly, weighted Region Adjacency Graphs (RAGs) are constructed from each image using an approach based on the morphological watershed. Over-segmentation problems arising from the watershed technique are solved by revisiting the concept of watershed saliency based on a graph of the mosaic image. Secondly, The vertices of the RAG represent salient regions in the image and the (weighted) edges represent the relationship (bonding) between each region. Correspondences between images are then determined using a weighted graph matching method. Finally, Graph matching is considered one of the most complex problems in computer science, due to its combinatorial nature.
Image registration is an important problem for image processing and computer vision with many applications. IR techniques attempt to map corresponding features between two images. The problem is particularly difficult in medical image analysis as anatomy may be subject to elastic deformation. This research considers this problem in the context of graph matching. Firstly, weighted Region Adjacency Graphs (RAGs) are constructed from each image using an approach based on the morphological watershed. Over-segmentation problems arising from the watershed technique are solved by revisiting the concept of watershed saliency based on a graph of the mosaic image. Secondly, The vertices of the RAG represent salient regions in the image and the (weighted) edges represent the relationship (bonding) between each region. Correspondences between images are then determined using a weighted graph matching method. Finally, Graph matching is considered one of the most complex problems in computer science, due to its combinatorial nature.
Über den Autor
I received my BSc. Degree in Physics, King Saud University, Saudi Arabia, 1990. I obtained my master degree in Medical physics, surrey university, United Kingdom,1991. I received my PhD degree in computer science from School of Computing Sciences in University of East Anglia, United Kingdom, [...] research area is Medical Image Processing.
Details
Erscheinungsjahr: 2015
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 208 S.
ISBN-13: 9783639766363
ISBN-10: 3639766369
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Al-Hasan, Muhannad
Hersteller: Scholars' Press
Verantwortliche Person für die EU: Scholars Press, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 13 mm
Von/Mit: Muhannad Al-Hasan
Erscheinungsdatum: 01.07.2015
Gewicht: 0,328 kg
Artikel-ID: 104391792
Über den Autor
I received my BSc. Degree in Physics, King Saud University, Saudi Arabia, 1990. I obtained my master degree in Medical physics, surrey university, United Kingdom,1991. I received my PhD degree in computer science from School of Computing Sciences in University of East Anglia, United Kingdom, [...] research area is Medical Image Processing.
Details
Erscheinungsjahr: 2015
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 208 S.
ISBN-13: 9783639766363
ISBN-10: 3639766369
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Al-Hasan, Muhannad
Hersteller: Scholars' Press
Verantwortliche Person für die EU: Scholars Press, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 13 mm
Von/Mit: Muhannad Al-Hasan
Erscheinungsdatum: 01.07.2015
Gewicht: 0,328 kg
Artikel-ID: 104391792
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