图像处理和计算机视觉
借助 MathWorks® 的图像处理和计算机视觉产品，您可以执行端到端的处理工作流，从数据采集和预处理，到增强和分析，一直到部署到嵌入式视觉系统。
这些产品支持面向图像、视频、点云、激光雷达和高光谱数据的各种工作流。使用这些产品，您可以：
使用 App 以交互方式可视化、探查、标注和处理数据。
用算法增强和分析数据。
使用深度学习执行语义分割、目标检测、分类和图像到图像的转换。
与硬件对接，用于图像采集、算法加速、桌面原型构建和嵌入式视觉系统部署。
适用产品: 图像处理和计算机视觉
主题
标注和预处理数据
- 选择用于标注真值数据的 App (Computer Vision Toolbox)
决定使用哪个 App 来标注真实值数据：图像标注器、视频标注器、真实值标注器、激光雷达标注器、信号标注器或医学图像标注器。 - Get Started with Image Preprocessing and Augmentation for Deep Learning (Image Processing Toolbox)
Preprocess data for deep learning applications with deterministic operations such as resizing, or augment training data with randomized operations such as random cropping. - Medical Image Preprocessing (Medical Imaging Toolbox)
Learn common preprocessing steps used in medical image analysis. - Choose an Image Registration Technique (Image Processing Toolbox)
Register images using the Registration Estimator app, or select from techniques including automated feature matching, intensity-based registration, or control point registration.
检测目标和特征
- Get Started with Object Detection Using Deep Learning (Computer Vision Toolbox)
Perform object detection using deep learning neural networks such as YOLOX, YOLO v4, and SSD. - Local Feature Detection and Extraction (Computer Vision Toolbox)
Learn the benefits and applications of local feature detection and extraction. - Object Detection in Point Clouds Using Deep Learning (Lidar Toolbox)
Detect 3-D bounding boxes for objects in a point cloud.
分割图像和点云
- Get Started with Image Segmentation (Image Processing Toolbox)
Get started with tools for image segmentation, including Segment Anything Model, classical segmentation techniques, and deep learning-based semantic and instance segmentation. - Segment Objects Using Segment Anything Model (SAM) in Image Segmenter (Image Processing Toolbox)
Interactively segment objects or automatically segment the entire image using the Segment Anything Model (SAM) in the Image Segmenter app. (自 R2024b 起) - Semantic Segmentation in Point Clouds Using Deep Learning (Lidar Toolbox)
Assign class labels to each point inside a point cloud using deep learning.
增强图像
执行同步定位与地图构建
- Choose SLAM Workflow Based on Sensor Data (Computer Vision Toolbox)
Choose the right simultaneous localization and mapping (SLAM) workflow and find topics, examples, and supported features.
采集和标定数据
- Get Started with Image Acquisition Explorer (Image Acquisition Toolbox)
Use the Image Acquisition Explorer to preview, configure, acquire, and save image data. - Using the Single Camera Calibrator App (Computer Vision Toolbox)
Prepare camera calibration images and estimate camera intrinsic parameters. - What Is Lidar-Camera Calibration? (Lidar Toolbox)
Fuse lidar and camera data.
在硬件上部署
- 图像处理的代码生成 (Image Processing Toolbox)
了解如何使用 MATLAB® Coder™ 从 Image Processing Toolbox™ 函数生成 C 代码。 - GPU Code Generation Workflow (GPU Coder)
Design, implement, and verify generated CUDA MEX for acceleration and standalone CUDA code for deployment. - Integrate YOLO v2 Vehicle Detector System on SoC (Vision HDL Toolbox)
Simulate a YOLO v2 vehicle detection algorithm that contains FPGA and ARM sections for deployment to an SoC device.
精选示例
调整图像大小
通过指定乘法缩放因子或指定所需的图像输出大小来更改图像的大小。
Detect Nuclei in Large Whole Slide Images Using Cellpose
Detect cell nuclei in whole slide images (WSIs) of tissue stained using hematoxylin and eosin (H&E) by using Cellpose.
Detect Image Anomalies Using Explainable FCDD Network
Use an anomaly detector to distinguish between normal pills and pills with anomalous chips or contamination.
Detect, Classify, and Track Vehicles Using Lidar
Detect, classify, and track vehicles by using lidar point cloud data captured by a lidar sensor mounted on an ego vehicle.
Performant and Deployable Monocular Visual SLAM
Use visual inputs from a camera to perform vSLAM and generate multi-threaded C/C++ code.
Segment CT Scan Using MONAI Label
Apply deep learning models from the Medical Open Network for AI (MONAI) Label platform to segment a CT scan.
视频
什么是计算机视觉
了解计算机视觉如何扩展图像处理以实现各种应用领域，例如目标检测、跟踪和识别。
什么是 Lidar Toolbox
探索 Lidar Toolbox™ 处理点云数据以实现感知和导航应用的功能。
什么是 Medical Imaging Toolbox
探索 Medical Imaging Toolbox™ 的功能，包括可视化、注册、分割和标注。
