Imaging and Vision Systems: Theory, Assessment and ApplicationsContents: Joint Edge-Preserving and Moire-Suppressing Image Resampling Using the Discrete Gabor Transform; scanned Multiresolution Imaging using Binary Hadamard Masks; The Application of Markov Random Field models to Wavelet-Based Image Denoising; Characteristic Interaction Structures in Gibbs Texture Modelling; Multifractal Multipermuted Multinomial Measure for Texture Characterisation and Segmentation; Performance Characterisation in Computer Vision: The role of Statistics in Testing and Design; Quantative Assessment of Image Filtering: Comparison of Objective Metrics; Progressive Image Coding for Improved Perceptual Quality and Recognition at Low Bit Rates; On the Masking Effects in a Perceptually Based Image Quality Metric; Advanced Computer Vision and Graphics Collaboration Techniques for Images-Based Rendering; Adaptive Dynamic Scene Analysis; Assessment of Image Processing Algorithms as the Keystone of Autonomous Robot Control Architectures; Parameter Optimisation for Visual Obstacle Detection Using a Derandomised Evolution Strategy; Obstacle Tracking in Registered Range and Reflectance Images Sequences using Multivalued Template Matching. |
Contents
Scanned Multiresolution Imaging Using Binary | 23 |
The Application of Markov Random Field Models | 43 |
Characteristic Interaction Structures in Gibbs Texture | 71 |
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Imaging and Vision Systems: Theory, Assessment and Applications Jacques Blanc-Talon Limited preview - 2001 |
Common terms and phrases
adaptive applications approach assessment attention manager behavior bit rates camera chi-square distances classification clique families co-occurrence matrix component compression Computer Vision control architecture corresponding defined distribution edge detection edge information error estimate evaluation evolution strategy facets filter frequency function fusion Gaussian Gibbs energies GLC-simulation grey level ground truth Hadamard Hadamard matrix histogram IEEE IEEE Trans image denoising image processing interaction structure interpolation iteration linear Markov Random Field measure method metrics moiré patterns multifractal multivalued template matching noise object obstacle tracking obtained operator optimization original image parameters perception agents perception processes performance pixel problem Proc radiosity Random Field range and reflectance recognition reconstructed reflectance-based region representation resampling resolution robot scale scene scheme segmentation sensors shape-based shown in Figure shrinkage signal simulation SPIHT statistical subband surface target lattice techniques template matching texture threshold transform vector visual wavelet coefficients Z-Buffer