Medical Images Segmentation Using Wgac Technique: a Fast Geodesic Active Contour Model Using Prior Analysis and Wavelets - Nabil Maalej - Livros - VDM Verlag Dr. Müller - 9783639265477 - 29 de junho de 2010
Caso a capa e o título não sejam correspondentes, considere o título como correto

Medical Images Segmentation Using Wgac Technique: a Fast Geodesic Active Contour Model Using Prior Analysis and Wavelets

Nabil Maalej

Preço
zł 207,90
excluindo impostos

Item sob encomenda (no estoque do fornecedor)

Espera-se estar pronto para envio 30 de jul - 6 de ago
Adicione à sua lista de desejos do iMusic

Medical Images Segmentation Using Wgac Technique: a Fast Geodesic Active Contour Model Using Prior Analysis and Wavelets

Image Segmentation is an image processing technique which is used to subdivide an image into regions in which each one contains components having similar properties or characteristics. Its goal is to "simplify and/or change the representation of an image into something that is more meaningful and easier to analyze". This approach has many applications. One of its most important applications is the extraction of tumor areas from medical images as a first step in the therapy planning of cancer patients. This objective can be achieved by many image segmentation approaches. One of these successful techniques is the active contour (Snake); its idea is based on a flexible curve (or surface) which is dynamically adapted to required edges or objects in an image. In this work an improvement over a current active contour model is proposed. The new model was tested using real CT images and has given promising results.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 29 de junho de 2010
ISBN13 9783639265477
Editoras VDM Verlag Dr. Müller
Páginas 108
Dimensões 225 × 6 × 150 mm   ·   167 g
Idioma English  

Ver tudo de Nabil Maalej ( por exemplo Paperback Book )