使用深度学习的图像处理
将深度学习与图像处理Toolbox™与Image Processing Toolbox™一起应用图像处理应用程序。
Functions
augmentedImageDatastore |
Transform batches to augment image data |
randomPatchExtractionDatastore |
Datastore for extracting random 2-D or 3-D random patches from images or pixel label images |
阻塞Datastore |
用于与块一起使用的数据存储阻塞对象 |
Topics
- Preprocess Data for Domain-Specific Deep Learning Applications
Perform deterministic or randomized data processing for domains such as image processing, object detection, semantic segmentation, signal and audio processing, and text analytics.
- 使用图像处理工具箱的深度学习工作流程的增强图像
This example shows how MATLAB® and Image Processing Toolbox™ can perform common kinds of image augmentation as part of deep learning workflows.
- Preprocess Images for Deep Learning
Learn how to resize images for training, prediction, and classification, and how to preprocess images using data augmentation, transformations, and specialized datastores.
- Preprocess Volumes for Deep Learning
Read and preprocess volumetric image and label data for 3-D deep learning.
- Preprocess Multiresolution Images for Training Classification Network（图像处理工具箱）
This example shows how to prepare datastores that read and preprocess multiresolution whole slide images (WSIs) that might not fit in memory.
- Get Started with GANs for Image-to-Image Translation（图像处理工具箱）
GAN networks can transfer the styles and characteristics from one set of images to the scene content of other images.
Featured Examples
