基于文件读写图像数据

基于文件读写图像数据，获取图像文件的内容信息

Image Processing Toolbox™ 使您能够读取和写入许多常见文件格式的图像文件，包括 BMP、GIF、JPEG、PNG 和 TIFF。该工具箱支持读取和写入医疗文件格式，包括 DICOM、NIfTI 和 Analyze 7.5。工具箱还支持读取 RAW 文件格式。您还可以处理特殊文件格式的图像，包括 NITF、DPX 和 Interfile。

App

DICOM 浏览器

浏览 DICOM 文件的集合

函数

全部展开

一般文件的导入和导出

`imread`	从图形文件读取图像
`imwrite`	将图像写入图形文件
`imfinfo`	有关图形文件的信息

处理 DICOM 文件

`dicominfo`	从 DICOM 消息中读取元数据
`dicomfind`	Find location and value of target attribute in DICOM metadata (自 R2021b 起)
`dicomupdate`	Update value of target attribute in DICOM metadata (自 R2021b 起)
`dicomread`	读取 DICOM 图像
`dicomwrite`	Write images as DICOM files
`dicomreadVolume`	Create 4-D volume from set of DICOM images
`dicomCollection`	Gather details about related series of DICOM files
`dicomContours`	Extract ROI data from DICOM-RT structure set (自 R2020a 起)
`dicomanon`	Anonymize DICOM file
`dicomdict`	Get or set active DICOM data dictionary
`dicomdisp`	Display DICOM file structure
`dicomlookup`	Find attribute in DICOM data dictionary
`dicomuid`	生成 DICOM 全局唯一标识符
`images.dicom.decodeUID`	Get information about DICOM unique identifier
`images.dicom.parseDICOMDIR`	Extract metadata from DICOMDIR file

处理 RAW 文件

`rawinfo`	Read metadata from RAW file (自 R2021a 起)
`rawread`	Read color filter array (CFA) image from RAW file (自 R2021a 起)
`raw2rgb`	Transform color filter array (CFA) image in RAW file into RGB image (自 R2021a 起)
`planar2raw`	Combine planar sensor images into full Bayer pattern CFA (自 R2021a 起)
`raw2planar`	Separate Bayer pattern color filter array (CFA) image into sensor element images (自 R2021a 起)

处理专用文件格式

`tiffreadVolume`	Read volume or time series image stack from TIFF file (自 R2020b 起)
`niftiinfo`	Read metadata from NIfTI file
`niftiwrite`	Write volume to file using NIfTI format
`niftiread`	Read NIfTI image
`analyze75info`	从 Analyze 7.5 数据集的头文件中读取元数据
`analyze75read`	Read image data from image file of Analyze 7.5 data set
`interfileinfo`	Read metadata from Interfile file
`interfileread`	Read images in Interfile format
`nitfinfo`	Read metadata from National Imagery Transmission Format (NITF) file
`nitfread`	Read image from NITF file
`isnitf`	Check if file is National Imagery Transmission Format (NITF) file
`dpxinfo`	Read metadata from DPX file
`dpxread`	Read DPX image
`exrinfo`	Read metadata from EXR file (自 R2022b 起)
`exrread`	Read image data from EXR file (自 R2022b 起)
`exrwrite`	Write image data to EXR file (自 R2022b 起)
`isexr`	Check if file is valid EXR file (自 R2022b 起)
`exrHalfAsSingle`	Convert numeric values into half-precision values (自 R2022b 起)

主题

读写标准图形文件

Image Types in the Toolbox

Image types determine how MATLAB^® interprets data matrix elements as pixel intensity values. The toolbox supports many image types including binary, grayscale, truecolor, multispectral, and label images.

处理 RAW 文件

Implement Digital Camera Processing Pipeline
This example shows how to implement a camera processing pipeline that renders an RGB image from a RAW Bayer-pattern color filter array (CFA) image.

处理 DICOM 和其他医疗文件

DICOM Support in Image Processing Toolbox

The Digital Imaging and Communications in Medicine (DICOM) Standard facilitates access to image data and files across medical imaging equipment.
Mayo Analyze 7.5 Files
Analyze 7.5 is a file format, developed by the Mayo Clinic, for storing MRI data.
Interfile Files
Interfile is a file format that was developed for the exchange of nuclear medicine image data.
Import and Spatial Referencing (Medical Imaging Toolbox)
Read images and spatial metadata from medical imaging file formats

精选示例

Create Image Datastore Containing DICOM Images

Create an image datastore from a collection of DICOM files containing 2-D images. To learn more about organizing images labeled using the Medical Image Labeler (Medical Imaging Toolbox) app, see Create Datastores for Medical Image Semantic Segmentation (Medical Imaging Toolbox).

打开实时脚本

Create Image Datastore Containing Single and Multi-File DICOM Series

Datastores are a convenient way of working with and representing collections of data that are too large to fit in memory at one time, especially in deep learning workflows. Digital Imaging and Communications in Medicine (DICOM) is a standardized medical image file format that can store volumes and image series as a single file or multiple files in a folder. This example shows how to create an image datastore containing DICOM data stored as a mix of single files and multiple files.