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» Image Watermarking based on Genetic Algorithm
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3DOR
2008
13 years 9 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
HCI
2009
13 years 5 months ago
Mind-Mirror: EEG-Guided Image Evolution
Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this s...
Nima Bigdely Shamlo, Scott Makeig
FUIN
1998
135views more  FUIN 1998»
13 years 7 months ago
A Study on Partitioned Iterative Function Systems for Image Compression
The technique of image compression using Iterative Function System (IFS) is known as fractal image compression. An extension of IFS theory is called as Partitioned or local Iterati...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu
CEC
2010
IEEE
13 years 5 months ago
Real-coded differential crisp clustering for MRI brain image segmentation
Abstract-- In this paper, a segmentation technique of multispectral magnetic resonance image of the brain using a new differential evolution based crisp clustering is proposed. Rea...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...