Image Processing Recipes in MATLAB by Oge Marques Paperback Book

Description: Image Processing Recipes in MATLAB by Oge Marques, Gustavo Benvenutti Borba Leveraging the latest developments in MATLAB and its image processing toolbox, this cookbook is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. FORMAT Paperback CONDITION Brand New Publisher Description Leveraging the latest developments in MATLAB and its image processing toolbox, this cookbook is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features:A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB.Each recipe is presented through clear, step-by-step instructions and rich visual examples.Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference.Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges.The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis. Author Biography Oge Marques, PhD is a Professor of Computer Science and Engineering in the College of Engineering and Computer Science, a Professor of Biomedical Science (Secondary) in the Charles E. Schmidt College of Medicine, and a Professor of Information Technology (by courtesy), in the College of Business at Florida Atlantic University (FAU) (Boca Raton, FL).He is the author of 12 technical books, one patent, and more than 130 refereed scientific articles on image processing, medical image analysis, computer vision, artificial intelligence, and machine learning.Dr. Marques is a Senior Member of both the IEEE (Institute of Electrical and Electronics Engineers) and the ACM (Association for Computing Machinery), Fellow of the NIH AIM-AHEAD Consortium, Fellow of the Leshner Leadership Institute of the American Association for the Advancement of Science (AAAS), Tau Beta Pi Eminent Engineer, and member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.Gustavo Benvenutti Borba, PhD is an Associate Professor in the Department of Electronics and the Graduate School on Biomedical Engineering at the Federal University of Technology-Paraná (UTFPR) (Curitiba, Brazil).He obtained his PhD in Electrical Engineering from UTFPR. He is the author of more than 30 refereed scientific articles on image processing, image retrieval, and related topics. Table of Contents I Basic Image Processing: Acquisition and VisualisationRecipe 1: Loading, Displayng and Savng ImagesRecipe 2: Image ConversionRecipe 3: Image Acquisition Using a WebcamRecipe 4: Browsing Through ImagesII Geometric OperationsRecipe 5: Geometric TransformationsRecipe 6: Image WarpingIII HistogramsRecipe 7: Histograms and Statistcs of Grayscale ImagesRecipe 8: Histogram Equalization and Histogram MatchingRecipe 9: Individual Channel Histograms of Color ImagesRecipe 10: Combined Color Histograms and Dominant Colors in an ImageIV Point TransformationsRecipe 11: Intensity Transformation FunctionsRecipe 12: Custom Point Transformation FunctionsRecipe 13: Gamma CorrectionsRecipe 14: Leveling Non-Uniform IlluminationV Spatial Filtering and Special EffectsRecipe 15: Smoothing FiltersRecipe 16: Sharpening FiltersRecipe 17: Other Image Filters and Special EffectsVI Image SegmentationRecipe 18: Image BinarizationRecipe 19: Region-Based SegmentationRecipe 20: Image Segmentation Using K-Means ClusteringRecipe 21: Superpixel Oversegmentation Using SLICRecipe 22: Graph-based SegmentationVII Binary Image AnalysisRecipe 23: Finding, Counting and Accessing Connected Components in Binary ImagesRecipe 24: Basic Morphological OperationsRecipe 25: Computing COnnected Components FeaturesVIII Color Image ProcessingRecipe 26: Converting Among Different Color SpacesRecipe 27: Color Image AdjustmentsRecipe 28: Image PseudocoloringIX Batch Processing and Handling Large ImagesRecipe 29: Processing Very Large ImagesRecipe 30: Batch Processing a Set of Images Details ISBN0367767139 Author Gustavo Benvenutti Borba Publisher Taylor & Francis Ltd Series Chapman & Hall/CRC Computer Science and Engineering Recipes Series Year 2024 ISBN-13 9780367767136 Format Paperback Imprint Chapman & Hall/CRC Country of Publication United Kingdom Alternative 9780367771973 Illustrations 4 Tables, black and white; 6 Line drawings, color; 5 Line drawings, black and white; 84 Halftones, color; 35 Halftones, black and white; 90 Illustrations, color; 40 Illustrations, black and white Audience Professional & Vocational Publication Date 2024-05-16 UK Release Date 2024-05-16 Pages 248 DEWEY 006.37 ISBN-10 0367767139 We've got this At The Nile, if you're looking for it, we've got it. 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