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Titlebook: Image Analysis and Recognition; International Confer Aurélio Campilho,Mohamed Kamel Conference proceedings 2004 Springer-Verlag Berlin Heid

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A Multiresolution Threshold Selection Method Based on Training methods is the lack of capacity of adaptation to specific vision applications. The proposed method represents a procedure to adapt threshold selection methods to specific applications. The proposed method is based on the analysis of multiresolution decompositions of the image histogram, which is su
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Unsupervised Color-Texture Segmentationd based on adaptive mean shift (AMS) based clustering is used for nonparametric clustering of image data set. The clustering results are used to construct Gaussian mixture modelling of image data set for the calculation of soft J value. The region growing algorithm used in JSEG is then applied in se
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Hierarchical MCMC Samplingons at a fine scale become progressively more local (and therefore more efficient) at coarser levels. The key to effective coarse-scale activity is the proper model definition at those scales. This can be difficult for locally-coupled models such as Ising, but is inherent and easy for those models,
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Registration and Fusion of Blurred Imagesgorithm has the advantage that both tasks are performed simultaneously. An efficient implementation scheme of alternating minimizations is presented. A simulation and a real-data experiment demonstrate the superb performance of the algorithm.
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A New Numerical Scheme for Anisotropic Diffusiong of semantically meaningful features occurs very easily with current discrete version of AD (DAD). We address this problem by considering the difference in the behavior of DAD and its continuous counterpart. A new numerical scheme is proposed in this paper in which the non-negative part of the deri
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An Effective Detail Preserving Filter for Impulse Noise Removaloposed. The median filter works on all image pixels and thus destroys fine details. Alternatively, the peak-and-valley filter identifies noisy pixels and then replaces their values with the minimum or maximum value of their neighbors depending on the noise (dark or bright). Its main disadvantage is
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A Quantum-Inspired Genetic Algorithm for Multi-source Affine Image Registration from both genetic algorithms and quantum computing fields and uses the mutual information as a measure of similarity. The proposed approach is based on some concepts and principles of quantum computing such as quantum bit and states superposition. So, the definitions of the basic genetic operations
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