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020 _a9783030409777
024 7 _a10.1007/978-3-030-40977-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTA1637
_b2020 EB
245 0 0 _aApplications of Hybrid Metaheuristic Algorithms for Image Processing
_cedited by Diego Oliva, Salvador Hinojosa.
250 _aFirst edition 2020.
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (IX, 490 páginas)
_b311 ilustraciones, 221 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v890
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aSegmentation 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.
520 3 _aThis book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
988 _aSpringer_Robotics_31032020
650 7 _2embne
_aProceso digital de imágenes
_9413188
650 7 _2embne
_aAlgoritmos
_9141162
700 1 _aOliva, Diego
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHinojosa, Salvador
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030409760
776 0 8 _iPrinted edition:
_z9783030409784
776 0 8 _iPrinted edition:
_z9783030409791
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-40977-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_ek
_zSI