Image Processing and Computer Vision

MATLAB and Simulink for Image Processing and Computer Vision

Analyze signals and time-series data. Model, design, and simulate signal processing systems.

Signal processing engineers use MATLAB and Simulink at all stages of development—from analyzing signals and exploring algorithms to evaluating design implementation tradeoffs for building real-time signal processing systems.

Solutions in Action

Design vision solutions with a comprehensive set of reference-standard algorithms for image processing, computer vision, and deep learning.

Collaborate with teams using OpenCV, Python^®, and C/C++ using interoperable APIs and integration tools.

Use workflow apps to automate common tasks and accelerate algorithm exploration.

Accelerate algorithms on NVIDIA^®GPUs, cloud, and data center resources without specialized programming or IT knowledge.

Deploy algorithms to embedded devices, including NVIDIA GPUs, Intel^® processors and FPGAs, and ARM^®-based embedded processors.

Get Started

Image Processing Onramp

Explore more getting started resources

Image Processing Resources

Video

Image Processing and Computer Vision with MATLAB

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Video

Image Processing Made Easy

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Video

What Is Computer Vision?

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Key Features

Image Apps and Visualization

Use MATLAB apps to explore data interactively and auto-generate code. Featured apps include Camera Calibration for estimating camera parameters; Image and Video Labeling for labeling images and videos; and Image Segmentation for segmenting images using advanced algorithms.

Two images of the same lighthouse side-by-side: one is a noisy image and the other is a denoised image. — Label images to train machine learning models.

Apps for Visualization

Identify and extract meaningful information from images and videos using list image display and manipulation, image filtering and morphology, segmentation and edge detection, and pixel-based region analysis.

Grains of rice on a dark field. — Image processing capabilities.

Image Processing and Computer Vision Applications

Identify and extract key data from images and videos with apps, including Volume Viewer for viewing 3D volumetric data as volumes or slices; Video Viewer for playing, navigating, or adjusting frame rates; and DICOM Browser for exploring and importing DICOM files into MATLAB.

Screenshot of the Image Labeler, displaying cell particles. — Estimate camera intrinsics, extrinsics, and lens distortion parameters with camera calibration.

Integration with Open Source

Integrate directly with open source. Reuse legacy code written in another programming language. Create MATLAB powered responsive web sites or program hardware using error-free embedded C-code generated directly from MATLAB.

Diagram of Python and MATLAB like connected pieces of a puzzle. — Integrate Python^®with MATLAB.

Direct Camera Access and Image and Video Import

Connect to cameras via hardware support packages to acquire live images and video from frame grabbers, GigE Vision^® cameras, and DCAM cameras. MATLAB supports standard formats, offering prebuilt functions and apps for data access. Use ImageDatastore to manage large datasets beyond memory limits.