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使用深度学习进行图像处理

使用深度神经网络执行图像处理任务,例如去除图像噪声和执行图像到图像的转换(需要 Deep Learning Toolbox™)

深度学习使用神经网络直接从数据中学习有用的特征表示。例如,您可以使用预训练神经网络来识别和去除图像中的噪声等项。

函数

全部展开

augmentedImageDatastoreTransform batches to augment image data
blockedImageDatastoreDatastore for use with blocks from blockedImage objects
denoisingImageDatastoreDenoising image datastore
imageDatastore图像数据的数据存储
randomPatchExtractionDatastoreDatastore for extracting random 2-D or 3-D random patches from images or pixel label images
transform变换数据存储
combine合并来自多个数据存储的数据
jitterColorHSVRandomly alter color of pixels
randomWindow2dRandomly select rectangular region in image
randomCropWindow3dCreate randomized cuboidal cropping window
centerCropWindow2dCreate rectangular center cropping window
centerCropWindow3dCreate cuboidal center cropping window
RectangleSpatial extents of 2-D rectangular region
CuboidSpatial extents of 3-D cuboidal region
randomAffine2dCreate randomized 2-D affine transformation
randomAffine3dCreate randomized 3-D affine transformation
affineOutputViewCreate output view for warping images
imeraseRemove image pixels within rectangular region of interest
resize2dLayer2-D resize layer
resize3dLayer3-D resize layer
dlresizeResize spatial dimensions of dlarray object
DepthToSpace2DLayerDepth to space layer
SpaceToDepthLayerSpace to depth layer
depthToSpaceRearrange dlarray data from depth dimension into spatial blocks
spaceToDepthRearrange spatial blocks of dlarray data along depth dimension
encoderDecoderNetworkCreate encoder-decoder network
blockedNetworkCreate network with repeating block structure
pretrainedEncoderNetworkCreate encoder network from pretrained network
cycleGANGeneratorCreate CycleGAN generator network for image-to-image translation
patchGANDiscriminatorCreate PatchGAN discriminator network
pix2pixHDGlobalGeneratorCreate pix2pixHD global generator network
addPix2PixHDLocalEnhancerAdd local enhancer network to pix2pixHD generator network
unitGeneratorCreate unsupervised image-to-image translation (UNIT) generator network
unitPredictPerform inference using unsupervised image-to-image translation (UNIT) network
denoiseImageDenoise image using deep neural network
denoisingNetworkGet image denoising network
dnCNNLayersGet denoising convolutional neural network layers

主题

预处理图像数据以进行深度学习

创建用于图像处理应用的神经网络

MATLAB 中进行深度学习

  • 在 MATLAB 中进行深度学习 (Deep Learning Toolbox)
    通过使用卷积神经网络进行分类和回归来探索 MATLAB 的深度学习能力,包括预训练网络和迁移学习,以及在 GPU、CPU、集群和云上进行训练。
  • Semantic Segmentation Using Deep Learning (Computer Vision Toolbox)
    This example shows how to train a semantic segmentation network using deep learning.