Results 261 to 270 of about 2,635,657 (307)
Some of the next articles are maybe not open access.
An Image Level Set Method for Denoising
2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2010In this paper, we propose a new algorithm for image denoising. Our method based on image level set and partial differential equations (PDE) operator. The new method is feasible and easy to implement. Moreover, our method can also retain the key information and some fine structures of image.
Dazhi Zhang +3 more
openaire +1 more source
Level set methods in image science
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004In this article, we discuss the question "what level set methods can do for image science". We examine the presence of these and related methods in image science and introduce some relevant level set techniques that are potentially useful for this class of applications.
Yen-Hsi Tsai, Stanley J. Osher
openaire +1 more source
The Level Set Method for Etching and Deposition
Mathematical Models and Methods in Applied Sciences, 1997We provide a rigorous interpretation of the level set approach to certain nonlocal geometric motions modelling etching effects in manufacture. The shadowing of certain parts of a surface by other parts gives rise to a nonlocal Hamilton–Jacobi type PDE, with a multivalued Hamiltonian.
Adalsteinsson, D. +2 more
openaire +1 more source
Level set methods and image segmentation
Proceedings International Workshop on Medical Imaging and Augmented Reality, 2002We discuss some questions for applying level set methods to image segmentation. During image segmentation, it has been found that the level sets function could be changed into a non-distance function with the initial level set function defined as a distance function. This causes some applications to fail, such as coupled surfaces propagation.
Hongchuan Yu, Dejun Wang, Zesheng Tang
openaire +1 more source
A Level Set Method for Gland Segmentation
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017Histopathology plays a role as the gold standard in clinic for disease diagnosis. The identification and segmentation of histological structures are the prerequisite to disease diagnosis. With the advent of digital pathology, researchers' attention is attracted by the analysis of digital pathology images.
Chen Wang, Hong Bu, Ji Bao, Chunming Li
openaire +1 more source
A Level-Set Method for the Evolution of Faceted Crystals
SIAM Journal on Scientific Computing, 2000Summary: A level-set formulation for the motion of faceted interfaces is presented. The evolving surface of a crystal is represented as the zero-level of a phase function. The crystal is identified by its orientation and facet speeds. Accuracy is tested on a single crystal by comparison with the exact evolution.
RUSSO, Giovanni, SMEREKA P.
openaire +2 more sources
Novelty Detection Using Level Set Methods
IEEE Transactions on Neural Networks and Learning Systems, 2015This paper presents a level set boundary description (LSBD) approach for novelty detection that treats the nonlinear boundary directly in the input space. The proposed approach consists of level set function (LSF) construction, boundary evolution, and termination of the training process.
Xuemei Ding +3 more
openaire +2 more sources
Out-of-core and compressed level set methods
ACM Transactions on Graphics, 2007This article presents a generic framework for the representation and deformation of level set surfaces at extreme resolutions. The framework is composed of two modules that each utilize optimized and application specific algorithms: 1) A fastout-of-coredata management scheme that allows for resolutions of the deforming geometry limited only by the ...
Michael Bang Nielsen +3 more
openaire +2 more sources
2006
The level set method for capturing moving fronts was introduced in 1987 by Osher and Sethian [401]. It has proven to be phenomenally successful as a numerical device. For example, as of June 2002, typing in “Level Set Methods” on Google’s search engine gives roughly 2800 responses and the original article has been cited over 530 times (according to web
openaire +1 more source
The level set method for capturing moving fronts was introduced in 1987 by Osher and Sethian [401]. It has proven to be phenomenally successful as a numerical device. For example, as of June 2002, typing in “Level Set Methods” on Google’s search engine gives roughly 2800 responses and the original article has been cited over 530 times (according to web
openaire +1 more source
Level set methods and the stereo problem
1997We present a novel geometric approach for solving the stereo problem for an arbitrary number of images (greater than or equal to 2). It is based upon the definition of a variational principle that must be satisfied by the surfaces of the objects in the scene and their images. The Euler-Lagrange equations which are deduced from the variational principle
Olivier D. Faugeras, Renaud Keriven
openaire +1 more source