Geometric Level Set Methods in Imaging, Vision, and Graphics

By Stanley J. Osher, Nikos Paragios. Springer: New York, 2011

1,019 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/bbce6747d79b3caf31ca77d33a3a9ef023ffd04b

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In Computer Vision and Pattern Recognition

Citations in the corpus

Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation (2006, methodology): “Osher and Sethian introduced the level set method (Osher and Sethian, 1988; Osher and Fedkiw, 2002; Osher and Paragios, 2003) as a means of propagating contours (independent of parameterization ) by evolving associated embedding functions via partial differential equations.”
Nonlocal Operators with Applications to Image Processing (2008, background): “For details regarding the theory and the applications see [1, 42, 41, 17, 49] and the references therein.”
Shape representation and classification using the Poisson equation (2004, background): “One example in which this may be useful is character recognition (OCR).”
Oriented Speckle Reducing Anisotropic Diffusion (2007, methodology): “It shows the tendency of the flux diffusion to create elongated structures from noise of high standard deviation, the strong attenuation of the small vessel structure for Rudin et al.'s filter, the good restoration of DPAD filter but with remaining noise at the contours, and the good restoration of ”
Imaging and image processing in porous media research (2008, methodology): “An introduction to these methods is given in [33] and an overview, with more recent results and applications, is provided by Osher and Paragios [63].”
Graph Cuts and Efficient N-D Image Segmentation (2006, methodology): “The methods in group (A) include snakes (Kass et al., 1988; Cohen, 1991), region competition (Zhu and Yuille, 1996), geodesic active contours (Caselles et al., 1997), and other methods based on level-sets (Sethian, 1999; Osher and Fedkiw, 2002; Sapiro, 2001; Osher and Paragios, 2003).”
Ultrasound image segmentation: a survey (2006, neutral): “[115]).”
Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow (2007, methodology): “Speciﬁcally, this sequence can be deﬁned by means of a gradient ﬂow that minimizes the value of a properly deﬁned cost functional [31].”
Nonlocal Linear Image Regularization and Supervised Segmentation (2007, background): “For some recent theory and applications see [3, 47, 46, 19] and the references therein.”