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Image Processing Toolbox
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, image registration, and 3D image processing.
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.
Getting Started
Learn the basics of Image Processing Toolbox
Import, Export, and Conversion
Image data import and export, conversion of image types and classes
Display and Exploration
Interactive tools for image display and exploration
Geometric Transformation and Image Registration
Scale, rotate, perform other N-D transformations, and align images using intensity correlation, feature matching, or control point mapping
Image Filtering and Enhancement
Contrast adjustment, morphological filtering, deblurring, ROI-based processing
Image Segmentation and Analysis
Region analysis, texture analysis, pixel and image statistics
Deep Learning for Image Processing
Perform image processing tasks, such as removing image noise and creating high-resolution images from low-resolutions images, using convolutional neural networks (requires Deep Learning Toolbox™)
3-D Volumetric Image Processing
Filter, segment, and perform other image processing operations on 3-D volumetric data
Code Generation
Generate C code and MEX functions for toolbox functions
GPU Computing
Run image processing code on a graphics processing unit (GPU)
