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Proceedings / / IEEE Southwest Symposium on Image Analysis and Interpretation
| Proceedings / / IEEE Southwest Symposium on Image Analysis and Interpretation |
| Pubbl/distr/stampa | [Los Alamitos, Calif.] : , : [IEEE Computer Society] |
| Disciplina | 621 |
| Soggetto topico |
Image processing
Optical pattern recognition Image analysis |
| Soggetto genere / forma |
Periodicals.
Conference papers and proceedings. |
| ISSN | 2473-3598 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
IEEE Southwest Symposium on Image Analysis and Interpretation SSIAI |
| Record Nr. | UNINA-9910626129403321 |
| [Los Alamitos, Calif.] : , : [IEEE Computer Society] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings / / IEEE Southwest Symposium on Image Analysis and Interpretation
| Proceedings / / IEEE Southwest Symposium on Image Analysis and Interpretation |
| Pubbl/distr/stampa | [Los Alamitos, Calif.] : , : [IEEE Computer Society] |
| Disciplina | 621 |
| Soggetto topico |
Image processing
Optical pattern recognition Image analysis |
| Soggetto genere / forma |
Periodicals.
Conference papers and proceedings. |
| ISSN | 2473-3598 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
IEEE Southwest Symposium on Image Analysis and Interpretation SSIAI |
| Record Nr. | UNISA-996581537803316 |
| [Los Alamitos, Calif.] : , : [IEEE Computer Society] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of ... International Conference on Image Analysis and Signal Processing
| Proceedings of ... International Conference on Image Analysis and Signal Processing |
| Pubbl/distr/stampa | [Piscataway, N.J.], : Institute of Electrical and Electronics Engineers, ©2009- |
| Disciplina | 006.37 |
| Soggetto topico |
Image analysis
Optical data processing |
| Soggetto genere / forma | Conference papers and proceedings. |
| ISSN | 2156-0129 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996278268303316 |
| [Piscataway, N.J.], : Institute of Electrical and Electronics Engineers, ©2009- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of ... International Conference on Image Analysis and Signal Processing
| Proceedings of ... International Conference on Image Analysis and Signal Processing |
| Pubbl/distr/stampa | [Piscataway, N.J.], : Institute of Electrical and Electronics Engineers, ©2009- |
| Disciplina | 006.37 |
| Soggetto topico |
Image analysis
Optical data processing |
| Soggetto genere / forma | Conference papers and proceedings. |
| ISSN | 2156-0129 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910626151703321 |
| [Piscataway, N.J.], : Institute of Electrical and Electronics Engineers, ©2009- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems : September 16-19, 2008, Nara, Japan
| Proceedings of the 8th IAPR International Workshop on Document Analysis Systems : September 16-19, 2008, Nara, Japan |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2008 |
| Soggetto topico |
Optical pattern recognition - Digital techniques
Text processing (Computer science) Document imaging systems Image analysis Optical character recognition Image processing Engineering & Applied Sciences Applied Physics |
| ISBN | 1-5090-7905-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996198338003316 |
| [Place of publication not identified], : IEEE Computer Society, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems : September 16-19, 2008, Nara, Japan
| Proceedings of the 8th IAPR International Workshop on Document Analysis Systems : September 16-19, 2008, Nara, Japan |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2008 |
| Soggetto topico |
Optical pattern recognition - Digital techniques
Text processing (Computer science) Document imaging systems Image analysis Optical character recognition Image processing Engineering & Applied Sciences Applied Physics |
| ISBN | 1-5090-7905-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910140028803321 |
| [Place of publication not identified], : IEEE Computer Society, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.]
| Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.] |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 006.37 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Computer vision
Image analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-76047-5
9786612760471 981-283-446-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; 1. An appearance-based method for parametric video registration X. Orriols, L. Barceló and X. Binefa; 1.1. Introduction; 1.2. Appearance Based Framework for Multi-Frame Registration; 1.2.1. Appearance Representation Model; 1.2.2. Polynomial Surface Model; 1.2.3. The Algorithm; 1.3. Experimental Results; 1.3.1. Selecting a Reference Frame. Consequences in the Registration; 1.3.2. Analyzing the Complexity in the Polynomial Model. Towards 3D Affine Reconstruction; 1.4. Summary and Conclusions; Acknowledgments; References
2. An interactive algorithm for image smoothing and segmentation M. C. de Andrade1. Introduction; 2. The interactive image smoothing and segmentation algorithm - ISS; 2.1. Edge preserving smoothing under controlled curvature motion; 2.1.1. Stopping criteria for curvature based denoising; 2.1.2. Effect of denoising on the ISS; 2.2. The interactive region growing and merging step; 2.3. The ISS algorithm steps; 3. Applications; 4. Conclusions and Outlook; Acknowledgments; Appendix A. ISS Pseudo-code; Appendix B. ISS Execution time for known test-images; References 3. Relevance of multifractal textures in static images A. Turiel3.1. Introduction; 3.2. Multifractal framework; 3.3. Multifractal decomposition; 3.4. Reconstructing from edges; 3.5. Relevance of the fractal manifolds; 3.6. Conclusions; Acknowledgements; References; 4. Potential fields as an external force and algorithmic improvements in deformable models A. Caro et al.; 4.1. Introduction; 4.1.1. Overview on Active Contours; 4.1.2. Scope and purpose of the research; 4.2. Algorithm Design; 4.2.1. Standard Deformable Models; 4.2.2. The new approach for Deformable Models 4.2.3. A practical application: DeformableModels on Iberian ham MRI4.3. Practical Results and their Discussion; 4.4. Conclusions; Acknowledgements; References; 5. Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm S. Günter and H. Bunke; 5.1. Introduction; 5.2. Handwritten word recognizer; 5.2.1. Preprocessing; 5.2.2. Feature extraction; 5.2.3. Hidden Markov models; 5.3. Ensemble creation methods; 5.3.1. Issues in ensemble creation; 5.3.2. Bagging; 5.3.3. AdaBoost; 5.3.4. Random subspace method; 5.3.5. Architecture variation 5.4. Combination schemes5.4.1. Maximum score rule; 5.4.2. Performance weighted voting; 5.4.3. Weighted voting using weights calculated by a genetic algorithm; 5.4.4. Voting with ties handling; 5.5. Genetic algorithm for the calculation of the weights used by weighted voting; 5.5.1. Chromosome representation and fitness; 5.5.2. Initialization and termination; 5.5.3. Crossover operator; 5.5.4. Mutation operator; 5.5.5. Generation of a new population; 5.6. Experiments; 5.7. Conclusions; Acknowledgments; Appendix A. HandwrittenWord Samples; References 6. Dempster-Shafer's basic probability assignment based on fuzzy membership functions A. O. Boudraa et al. |
| Record Nr. | UNINA-9910455860003321 |
| Singapore, : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.]
| Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.] |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 006.37 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Computer vision
Image analysis |
| ISBN |
1-282-76047-5
9786612760471 981-283-446-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; 1. An appearance-based method for parametric video registration X. Orriols, L. Barceló and X. Binefa; 1.1. Introduction; 1.2. Appearance Based Framework for Multi-Frame Registration; 1.2.1. Appearance Representation Model; 1.2.2. Polynomial Surface Model; 1.2.3. The Algorithm; 1.3. Experimental Results; 1.3.1. Selecting a Reference Frame. Consequences in the Registration; 1.3.2. Analyzing the Complexity in the Polynomial Model. Towards 3D Affine Reconstruction; 1.4. Summary and Conclusions; Acknowledgments; References
2. An interactive algorithm for image smoothing and segmentation M. C. de Andrade1. Introduction; 2. The interactive image smoothing and segmentation algorithm - ISS; 2.1. Edge preserving smoothing under controlled curvature motion; 2.1.1. Stopping criteria for curvature based denoising; 2.1.2. Effect of denoising on the ISS; 2.2. The interactive region growing and merging step; 2.3. The ISS algorithm steps; 3. Applications; 4. Conclusions and Outlook; Acknowledgments; Appendix A. ISS Pseudo-code; Appendix B. ISS Execution time for known test-images; References 3. Relevance of multifractal textures in static images A. Turiel3.1. Introduction; 3.2. Multifractal framework; 3.3. Multifractal decomposition; 3.4. Reconstructing from edges; 3.5. Relevance of the fractal manifolds; 3.6. Conclusions; Acknowledgements; References; 4. Potential fields as an external force and algorithmic improvements in deformable models A. Caro et al.; 4.1. Introduction; 4.1.1. Overview on Active Contours; 4.1.2. Scope and purpose of the research; 4.2. Algorithm Design; 4.2.1. Standard Deformable Models; 4.2.2. The new approach for Deformable Models 4.2.3. A practical application: DeformableModels on Iberian ham MRI4.3. Practical Results and their Discussion; 4.4. Conclusions; Acknowledgements; References; 5. Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm S. Günter and H. Bunke; 5.1. Introduction; 5.2. Handwritten word recognizer; 5.2.1. Preprocessing; 5.2.2. Feature extraction; 5.2.3. Hidden Markov models; 5.3. Ensemble creation methods; 5.3.1. Issues in ensemble creation; 5.3.2. Bagging; 5.3.3. AdaBoost; 5.3.4. Random subspace method; 5.3.5. Architecture variation 5.4. Combination schemes5.4.1. Maximum score rule; 5.4.2. Performance weighted voting; 5.4.3. Weighted voting using weights calculated by a genetic algorithm; 5.4.4. Voting with ties handling; 5.5. Genetic algorithm for the calculation of the weights used by weighted voting; 5.5.1. Chromosome representation and fitness; 5.5.2. Initialization and termination; 5.5.3. Crossover operator; 5.5.4. Mutation operator; 5.5.5. Generation of a new population; 5.6. Experiments; 5.7. Conclusions; Acknowledgments; Appendix A. HandwrittenWord Samples; References 6. Dempster-Shafer's basic probability assignment based on fuzzy membership functions A. O. Boudraa et al. |
| Record Nr. | UNINA-9910780723403321 |
| Singapore, : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.]
| Progress in computer vision and image analysis [[electronic resource] /] / editors, Horst Bunke ... [et al.] |
| Pubbl/distr/stampa | Singapore, : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (591 p.) |
| Disciplina | 006.37 |
| Altri autori (Persone) | BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Computer vision
Image analysis |
| ISBN |
1-282-76047-5
9786612760471 981-283-446-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; 1. An appearance-based method for parametric video registration X. Orriols, L. Barceló and X. Binefa; 1.1. Introduction; 1.2. Appearance Based Framework for Multi-Frame Registration; 1.2.1. Appearance Representation Model; 1.2.2. Polynomial Surface Model; 1.2.3. The Algorithm; 1.3. Experimental Results; 1.3.1. Selecting a Reference Frame. Consequences in the Registration; 1.3.2. Analyzing the Complexity in the Polynomial Model. Towards 3D Affine Reconstruction; 1.4. Summary and Conclusions; Acknowledgments; References
2. An interactive algorithm for image smoothing and segmentation M. C. de Andrade1. Introduction; 2. The interactive image smoothing and segmentation algorithm - ISS; 2.1. Edge preserving smoothing under controlled curvature motion; 2.1.1. Stopping criteria for curvature based denoising; 2.1.2. Effect of denoising on the ISS; 2.2. The interactive region growing and merging step; 2.3. The ISS algorithm steps; 3. Applications; 4. Conclusions and Outlook; Acknowledgments; Appendix A. ISS Pseudo-code; Appendix B. ISS Execution time for known test-images; References 3. Relevance of multifractal textures in static images A. Turiel3.1. Introduction; 3.2. Multifractal framework; 3.3. Multifractal decomposition; 3.4. Reconstructing from edges; 3.5. Relevance of the fractal manifolds; 3.6. Conclusions; Acknowledgements; References; 4. Potential fields as an external force and algorithmic improvements in deformable models A. Caro et al.; 4.1. Introduction; 4.1.1. Overview on Active Contours; 4.1.2. Scope and purpose of the research; 4.2. Algorithm Design; 4.2.1. Standard Deformable Models; 4.2.2. The new approach for Deformable Models 4.2.3. A practical application: DeformableModels on Iberian ham MRI4.3. Practical Results and their Discussion; 4.4. Conclusions; Acknowledgements; References; 5. Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm S. Günter and H. Bunke; 5.1. Introduction; 5.2. Handwritten word recognizer; 5.2.1. Preprocessing; 5.2.2. Feature extraction; 5.2.3. Hidden Markov models; 5.3. Ensemble creation methods; 5.3.1. Issues in ensemble creation; 5.3.2. Bagging; 5.3.3. AdaBoost; 5.3.4. Random subspace method; 5.3.5. Architecture variation 5.4. Combination schemes5.4.1. Maximum score rule; 5.4.2. Performance weighted voting; 5.4.3. Weighted voting using weights calculated by a genetic algorithm; 5.4.4. Voting with ties handling; 5.5. Genetic algorithm for the calculation of the weights used by weighted voting; 5.5.1. Chromosome representation and fitness; 5.5.2. Initialization and termination; 5.5.3. Crossover operator; 5.5.4. Mutation operator; 5.5.5. Generation of a new population; 5.6. Experiments; 5.7. Conclusions; Acknowledgments; Appendix A. HandwrittenWord Samples; References 6. Dempster-Shafer's basic probability assignment based on fuzzy membership functions A. O. Boudraa et al. |
| Record Nr. | UNINA-9910816632203321 |
| Singapore, : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Qualitative Bildanalyse : Methodische Verfahrensweisen und Techniken zur Analyse von Fotografien / / Jorg Astheimer
| Qualitative Bildanalyse : Methodische Verfahrensweisen und Techniken zur Analyse von Fotografien / / Jorg Astheimer |
| Autore | Astheimer Jorg |
| Pubbl/distr/stampa | Baden-Baden, Germany : , : Nomos, , 2016 |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 621.367 |
| Collana | Short Cuts / Cross Media |
| Soggetto topico |
Image analysis
Image processing - Digital techniques |
| ISBN | 3-8452-7166-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910150387103321 |
Astheimer Jorg
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| Baden-Baden, Germany : , : Nomos, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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