2024年4月14日发(作者:teach怎么读音发音)
Image Processing Toolbox 7.0
Perform image processing, analysis, and algorithm development
Image Processing Toolbox™ provides a comprehensive set of reference-standard algorithms and graphical tools for
image processing, analysis, visualization, and algorithm development. You can perform image enhancement,
image deblurring, feature detection, noise reduction, image segmentation, spatial transformations, and image
registration. Many functions in the toolbox are multithreaded to take advantage of multicore and multiprocessor
computers.
Image Processing Toolbox supports a diverse set of image types, including high dynamic range, gigapixel
resolution, ICC-compliant color, and tomographic images. Graphical tools let you explore an image, examine a
region of pixels, adjust the contrast, create contours or histograms, and manipulate regions of interest (ROIs).
With the toolbox algorithms you can restore degraded images, detect and measure features, analyze shapes and
textures, and adjust the color balance of images.
Key Features
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Image enhancement, filtering, and deblurring
Image analysis, including segmentation, morphology, feature extraction, and measurement
Spatial transformations and image registration
Image transforms, including FFT, DCT, Radon, and fan-beam projection
Workflows for processing, displaying, and navigating arbitrarily large images
Modular interactive tools, including ROI selections, histograms, and distance measurements
ICC color management
Multidimensional image processing
Image-sequence and video display
DICOM import and export
Importing and Exporting Images
Image Processing Toolbox supports images generated by a wide range of devices, including digital cameras,
satellite and airborne sensors, medical imaging devices, microscopes, telescopes, and other scientific instruments.
You can visualize, analyze, and process these images in many data types, including single- and double-precision
floating-point and signed and unsigned 8-, 16-, and 32-bit integers.
There are several ways to import and export images into and out of the MATLAB® environment for processing.
You can use Image Acquisition Toolbox™ to acquire live images from Web cameras, frame grabbers,
DCAM-compatible cameras, and other devices. Using Database Toolbox™, you can access images stored in
ODBC/JDBC-compliant databases.
MATLAB supports standard data and image formats, including JPEG, JPEG-2000, TIFF, PNG, HDF, HDF-EOS,
FITS, Microsoft® Excel®, ASCII, and binary files. It also supports the multiband image formats BIP and BIL, as
used by LANDSAT for example. Low-level I/O and memory mapping functions enable you to develop custom
routines for working with any data format.
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Image Processing Toolbox supports a number of specialized image file formats. For medical images, it supports
the DICOM file format, including associated metadata, as well as the Analyze 7.5 and Interfile formats. The
toolbox can also read geospatial images in the NITF format and high dynamic range images in the HDR format.
A display of MRI slices from a series of DICOM files, enabling visualization and exploration of medical images in
MATLAB.
Displaying and Exploring Images
Image Processing Toolbox extends MATLAB graphics to provide image display capabilities that are highly
customizable. You can create displays with multiple images in a single window, annotate displays with text and
graphics, and create specialized displays such as histograms, profiles, and contour plots.
In addition to display functions, the toolbox provides a suite of interactive tools for exploring images and building
GUIs. You can view image information, zoom and pan around the image, and closely examine a region of pixels.
You can interactively place and manipulate ROIs, including points, lines, rectangles, polygons, ellipses, and
freehand shapes. You can also interactively crop, adjust the contrast, and measure distances. The suite of tools is
available within Image Tool or from individual functions that can be used to create customized GUIs.
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