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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
Produktdetails
Chapman & Hall/CRC Computer Science and Engineering Recipes Series
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.
Inhaltsangabe
I Basic Image Processing: Acquisition and Visualisation Recipe 1: Loading, Displayng and Savng Images Recipe 2: Image Conversion Recipe 3: Image Acquisition Using a Webcam Recipe 4: Browsing Through Images II Geometric Operations Recipe 5: Geometric Transformations Recipe 6: Image Warping III Histograms Recipe 7: Histograms and Statistcs of Grayscale Images Recipe 8: Histogram Equalization and Histogram Matching Recipe 9: Individual Channel Histograms of Color Images Recipe 10: Combined Color Histograms and Dominant Colors in an Image IV Point Transformations Recipe 11: Intensity Transformation Functions Recipe 12: Custom Point Transformation Functions Recipe 13: Gamma Corrections Recipe 14: Leveling Non-Uniform Illumination V Spatial Filtering and Special Effects Recipe 15: Smoothing Filters Recipe 16: Sharpening Filters Recipe 17: Other Image Filters and Special Effects VI Image Segmentation Recipe 18: Image Binarization Recipe 19: Region-Based Segmentation Recipe 20: Image Segmentation Using K-Means Clustering Recipe 21: Superpixel Oversegmentation Using SLIC Recipe 22: Graph-based Segmentation VII Binary Image Analysis Recipe 23: Finding, Counting and Accessing Connected Components in Binary Images Recipe 24: Basic Morphological Operations Recipe 25: Computing COnnected Components' Features VIII Color Image Processing Recipe 26: Converting Among Different Color Spaces Recipe 27: Color Image Adjustments Recipe 28: Image Pseudocoloring IX Batch Processing and Handling Large Images Recipe 29: Processing Very Large Images Recipe 30: Batch Processing a Set of Images
I Basic Image Processing: Acquisition and Visualisation Recipe 1: Loading, Displayng and Savng Images Recipe 2: Image Conversion Recipe 3: Image Acquisition Using a Webcam Recipe 4: Browsing Through Images II Geometric Operations Recipe 5: Geometric Transformations Recipe 6: Image Warping III Histograms Recipe 7: Histograms and Statistcs of Grayscale Images Recipe 8: Histogram Equalization and Histogram Matching Recipe 9: Individual Channel Histograms of Color Images Recipe 10: Combined Color Histograms and Dominant Colors in an Image IV Point Transformations Recipe 11: Intensity Transformation Functions Recipe 12: Custom Point Transformation Functions Recipe 13: Gamma Corrections Recipe 14: Leveling Non-Uniform Illumination V Spatial Filtering and Special Effects Recipe 15: Smoothing Filters Recipe 16: Sharpening Filters Recipe 17: Other Image Filters and Special Effects VI Image Segmentation Recipe 18: Image Binarization Recipe 19: Region-Based Segmentation Recipe 20: Image Segmentation Using K-Means Clustering Recipe 21: Superpixel Oversegmentation Using SLIC Recipe 22: Graph-based Segmentation VII Binary Image Analysis Recipe 23: Finding, Counting and Accessing Connected Components in Binary Images Recipe 24: Basic Morphological Operations Recipe 25: Computing COnnected Components' Features VIII Color Image Processing Recipe 26: Converting Among Different Color Spaces Recipe 27: Color Image Adjustments Recipe 28: Image Pseudocoloring IX Batch Processing and Handling Large Images Recipe 29: Processing Very Large Images Recipe 30: Batch Processing a Set of Images
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