Applications of Hybrid Metaheuristic Algorithms for Image Processing / / edited by Diego Oliva, Salvador Hinojosa |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (486 pages) |
Disciplina | 621.367 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Signal, Image and Speech Processing |
ISBN | 3-030-40977-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Segmentation Of Thermal Images By Means Of Metaheuristic Algorithms, For Failure Detection And Preventive Maintenance Of Electronic Systems -- A Survey on Image Processing for Hyperspectral and Remote Sensing Images -- Hybrid Grey-Wolf Optimizer Based Fractional Order Optimal Filtering for Texture Aware Quality Enhancement for Remotely Sensed Images -- Robust K- Means Technique For Band Reduction On Hyperspectral Image Segmentation -- Ethnic Characterization In Amalgamated People For Airport Security Using A Repository Of Images And Pigeon-Inspired Optimization (Pio) Algorithm For The Improvement Of Their Results} -- Multi-Level Image Thresholding Segmentation Using Non-Local Means 2d Histogram And Metaheuristics Algorithms -- Comparison Of Metaheuristic Methods For Template Matching -- Novel Feature Extraction Strategies Supporting 2d Shape Description And Retrieval -- Clustering Data Using Techniques Of Image Processing Erode And Dilate To Avoid The Use Of Euclidian Distance -- Estimation Of The Homography Matrix To Image Stitching -- Active Contour Model in Deep Learning Era: A Revise and Review -- Comparison of Evolutionary Techniques for Car Accident Prediction -- Salp Swarm Algorithm: A Comprehensive Review -- Segmentation Of Magnetic Resonance Brain Images Through The Self-Adaptive Differential Evolution Algorithm And The Minimum Cross-Entropy Criterion -- Automatic Detection Of Malignant Masses In Digital Mammograms Based On A Mcet-Hho Approach -- Cancer Cell Prediction using Machine Learning and Evolutionary Algorithms -- Meta Heuristic Approach of RMDL Classification of Parkinson's disease -- Fuzzy- Crow Search Optimization for Medical Image Segmentation -- Intelligent System For The Visual Support Of Caloric Intake Of Food In Inhabitants Of A Smart City Using A Deep Learning Model -- Image Thresholding with Metaheuristic Algorithms for Cerebral Injuries -- Generative Adversarial Network And Retinal Image Segmentation. |
Record Nr. | UNINA-9910485011103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Metaheuristic Algorithms for Image Segmentation: Theory and Applications / / by Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa |
Autore | Oliva Diego |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 226 p. 58 illus., 43 illus. in color.) |
Disciplina |
621.367
006.6 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Image processing Speech processing systems Computational Intelligence Artificial Intelligence Signal, Image and Speech Processing |
ISBN | 3-030-12931-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Optimization -- Metaheuristic optimization -- Image processing -- Image Segmentation using metaheuristics -- Multilevel thresholding for image segmentation based on metaheuristic Algorithms -- Otsu’s between class variance and the tree seed algorithm -- Image segmentation using Kapur’s entropy and a hybrid optimization algorithm -- Tsallis entropy for image thresholding -- Image segmentation with minimum cross entropy -- Fuzzy entropy approaches for image segmentation -- Image segmentation by gaussian mixture -- Image segmentation as a multiobjective optimization problem -- Clustering algorithms for image segmentation -- Contextual information in image thresholding. |
Record Nr. | UNINA-9910484654903321 |
Oliva Diego | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Metaheuristics in machine learning : theory and applications / / Diego Oliva, Essam H. Houssein, Salvador Hinojosa, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (765 pages) |
Disciplina | 670.151 |
Collana | Studies in computational intelligence |
Soggetto topico | Metaheuristics |
ISBN | 3-030-70542-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910492143403321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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