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ICIP
2010
IEEE
15 years 4 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
CIMCA
2005
IEEE
16 years 3 days ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICPPW
2003
IEEE
15 years 11 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
ACIVS
2005
Springer
16 years 1 days ago
Designing Area and Performance Constrained SIMD/VLIW Image Processing Architectures
Abstract. Image processing is widely used in many applications, including medical imaging, industrial manufacturing and security systems. In these applications, the size of the ima...
Hamed Fatemi, Henk Corporaal, Twan Basten, Richard...
ICASSP
2007
IEEE
15 years 10 months ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel