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SIGGRAPH
1995
ACM
13 years 11 months ago
Stochastic screening dithering with adaptive clustering
We developa clustereddithering methodthatusesstochasticscreening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendit...
Luiz Velho, Jonas Gomes
ICIP
2009
IEEE
14 years 9 months ago
Adaptivity And Group Invariance In Mathematical Morphology
The standard morphological operators are (i) defined on Euclidean space, (ii) based on structuring elements, and (iii) invariant with respect to translation. There are several way...
WBIR
2010
SPRINGER
14 years 1 months ago
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration
We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Lisa Tang, Ghassan Hamarneh, Rafeef Abugharbieh
CBMS
2008
IEEE
14 years 7 months ago
Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion
This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In ou...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
ICIP
2009
IEEE
13 years 6 months ago
Colour saliency-based parameter optimisation for adaptive colour segmentation
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
Dana Elena Ilea, Paul F. Whelan