image_processing_toolbox

image_processing_toolbox


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

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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