Resultats globals: 3 registres trobats en 0.04 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
16 p, 396.6 KB Explicit traveling waves and invariant algebraic curves / Gasull, Armengol (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Giacomini, Hector (Université de Tours (France). Laboratoire de Mathématiques et Physique Théorique)
We introduce a precise definition of algebraic travelling wave solution of n-th order partial differential equations and prove that the only algebraic travelling waves solutions for the celebrated Fisher-Kolmogorov equation are the ones found in 1979 by Ablowitz and Zeppetella. [...]
2015 - 10.1088/0951-7715/28/6/1597
Nonlinearity, Vol. 28 (2015) , p. 1597-1606  
13 p, 569.2 KB A PDE Method to Segment Image Linear Objects with Application to Lens Distortion Removal / El-Melegy, Moumen T. (Assiut University (Assiut, Egipte). Electrical Engineering Department) ; Al-Ashwal, Nagi H. (Assiut University (Assiut, Egipte). Electrical Engineering Department)
In this paper, we propose a partial differential equation based method to segment image objects, which have a given parametric shape based on energy functional. The energy functional is composed of a term that detects object boundaries and a term that constrains the contour to find a shape compatible with the parametric shape. [...]
2007 - 10.5565/rev/elcvia.145
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 2 (2007) p. 9-21  
17 p, 2.1 MB An Interactive Algorithm for Image Smoothing and Segmentation / Carneiro de Andrade, Marcos (Centro de Desenvolvimento da Tecnologia Nuclear (Belo Horizonte, Brasil))
This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automatically detected, labeled and eventually merged. [...]
2004 - 10.5565/rev/elcvia.71
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 4 n. 1 (2004) p. 32-48  

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