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  • Image Processing Recipes in MATLAB®
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    Rövid leírás:

    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.

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    Hosszú leírás:

    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.

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    Tartalomjegyzék:

    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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