Название: MATLAB Image Processing Toolbox User’s Guide (R2022b)Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2022
Страниц: 1692
Язык: английский
Формат: pdf (true)
Размер: 71.9 MB
Perform image processing, visualization, and analysis.
Image Processing Toolbox provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, and image registration using deep learning and traditional image processing techniques. The toolbox supports processing of 2D, 3D, and arbitrarily large images. Image Processing Toolbox apps let you automate common image processing workflows. You can interactively segment image data, compare image registration techniques, and batch-process large datasets. Visualization functions and apps let you explore images, 3D volumes, and videos; adjust contrast; create histograms; and manipulate regions of interest (ROIs). You can accelerate your algorithms by running them on multicore processors and GPUs. Many toolbox functions support C/C++ code generation for desktop prototyping and embedded vision system deployment.
Key Features:
- Image analysis, including segmentation, morphology, statistics, and measurement
- Apps for image region analysis, image batch processing, and image registration
- 3D image processing workflows, including visualization and segmentation
- Image enhancement, filtering, geometric transformations, and deblurring algorithms
- Intensity-based and non-rigid image registration methods
- Support for CUDA enabled NVIDIA GPUs (with Parallel Computing Toolbox)
- C-code generation support for desktop prototyping and embedded vision system deployment
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