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三维体图像处理

对三维体数据进行滤波、分割和执行其他图像处理运算

对三维数据集执行像素运算、局部滤波、形态学及其他图像处理。

App

Volume ViewerView volumetric data and labeled volumetric data

函数

全部展开

volshowDisplay volume
labelvolshowDisplay labeled volume
sliceViewerBrowse image slices
orthosliceViewerBrowse orthogonal slices in grayscale or RGB volume
adaptthresh使用局部一阶统计量的自适应图像阈值
imbinarize通过阈值化将二维灰度图像或三维体二值化
dicomread读取 DICOM 图像
dicomreadVolumeConstruct 4-D volume from set of DICOM images
niftiinfoRead metadata from NIfTI file
niftiwriteWrite volume to file using NIfTI format
niftireadRead NIfTI image
imabsdiff两个图像的绝对差
imaddAdd two images or add constant to image
imdivideDivide one image into another or divide image by constant
immultiplyMultiply two images or multiply image by constant
imsubtract从一个图像中减去另一个图像或从图像中减去常量
affine3d 3-D affine geometric transformation
imcrop3Crop 3-D image
imref3dReference 3-D image to world coordinates
imregisterIntensity-based image registration
imregdemonsEstimate displacement field that aligns two 2-D or 3-D images
imresize3Resize 3-D volumetric intensity image
imrotate3Rotate 3-D volumetric grayscale image
imwarpApply geometric transformation to image
fibermetricEnhance elongated or tubular structures in image
fspecial3Create predefined 3-D filter
histeq使用直方图均衡增强对比度
imadjustnAdjust intensity values in N-D volumetric image
imboxfilt33-D box filtering of 3-D images
imfilterN-D filtering of multidimensional images
imgaussfilt33-D Gaussian filtering of 3-D images
imhistmatchnAdjust histogram of N-D image to match histogram of reference image
imnoiseAdd noise to image
integralBoxFilter33-D box filtering of 3-D integral images
integralImage3Calculate 3-D integral image
medfilt33-D median filtering
bwareaopen从二值图像中删除小对象
bwconncomp查找二值图像中的连通分量
bwmorph3Morphological operations on binary volume
bwskelReduce all objects to lines in 2-D binary image or 3-D binary volume
imbothatBottom-hat filtering
imcloseMorphologically close image
imdilateDilate image
imerodeErode image
imopenMorphologically open image
imreconstructMorphological reconstruction
imregionalmaxRegional maxima
imregionalminRegional minima
imtophatTop-hat filtering
offsetstrelMorphological offset structuring element
strelMorphological structuring element
watershedWatershed transform
activecontour 使用主动轮廓 (snake) 将图像分割成前景和背景
bfscoreContour matching score for image segmentation
diceSørensen-Dice similarity coefficient for image segmentation
gradientweightCalculate weights for image pixels based on image gradient
graydiffweightCalculate weights for image pixels based on grayscale intensity difference
imsegfmmBinary image segmentation using fast marching method
imsegkmeans3K-means clustering based volume segmentation
jaccardJaccard similarity coefficient for image segmentation
superpixels33-D superpixel oversegmentation of 3-D image
bwselect3Select objects in binary volume
edge3Find edges in 3-D intensity volume
imgradient3Find gradient magnitude and direction of 3-D image
imgradientxyzFind directional gradients of 3-D image
imhistHistogram of image data
regionprops3Measure properties of 3-D volumetric image regions
randomPatchExtractionDatastoreDatastore for extracting random 2-D or 3-D random patches from images or pixel label images
centerCropWindow3dCreate cuboidal center cropping window
randomCropWindow3dCreate randomized cuboidal cropping window
randomAffine3dCreate randomized 3-D affine transformation
affineOutputViewCreate output view for warping images

主题

Compute 3-D Superpixels of Input Volumetric Intensity Image

This example shows how to convert 3-D MRI data into a grayscale intensity image of superpixels.

Explore 3-D Volumetric Data with Volume Viewer App

You can view perpendicular cross-sections of 3-D volumetric data using the Volume Viewer app. Adjust the rendering to reveal structures within the volume.

Explore 3-D Labeled Volumetric Data with Volume Viewer App

You can view 3-D labeled volumetric data using the Volume Viewer app. You can view the volume and the labeled volume simultaneously and change the opacity and color map.

Preprocess Volumes for Deep Learning (Deep Learning Toolbox)

Read and preprocess volumetric image and label data for 3-D deep learning.

特色示例

Register Multimodal 3-D Medical Images

Register Multimodal 3-D Medical Images

Align two volumetric images using automatic intensity-based image registration.

打开实时脚本
Segment Lungs from 3-D Chest Scan

Segment Lungs from 3-D Chest Scan

Perform a 3-D segmentation using active contours (snakes). You can view the results using the Volume Viewer app.

打开实时脚本
3-D Brain Tumor Segmentation Using Deep Learning

3-D Brain Tumor Segmentation Using Deep Learning

Train a 3-D U-Net neural network and perform semantic segmentation of brain tumors from 3-D medical images. The example shows how to train a 3-D U-Net network and also provides a pretrained network. Use of a CUDA-capable NVIDIA™ GPU with compute capability 3.0 or higher is highly recommended for 3-D semantic segmentation (requires Parallel Computing Toolbox™).

打开实时脚本

Image Processing Toolbox 文档
支持
介绍通过 MATLAB 完成深度学习

介绍通过 MATLAB 完成深度学习

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