Image Processing Toolbox

Image Analysis

Extract meaningful information from images, such as finding shapes, counting objects, identifying colors, or measuring object properties.

Image Segmentation

Determine region boundaries in an image using different approaches including automatic thresholding, edge-based methods, and morphology-based methods.

Image Registration

Align images to enable quantitative analysis or qualitative comparison using intensity-based, multimodel, and non-rigid registration techniques.

3D Image Processing Workflows

Visualize and perform complete image processing workflows on 3D volumes.

Hyperspectral Image Processing

Read, write and visual hyperspectral data in a variety of file formats and process the data using algorithms such as Smile reduction, NDVI, or identifying spectral indices.

Deep Learning in Image Processing

Perform image processing tasks, such as removing image noise and performing image-to-image translation, using deep neural networks.

Image Preprocessing

Enhance contrast, remove noise, and correct blurring using contrast adjustment, morphological operators, and custom or predefined filters.

Apps for Exploration and Discovery

Use apps to explore and discover various algorithmic approaches. With the Color Thresholder app, you can segment an image based on various color spaces. Image Region Analyzer app allows you to calculate the properties of regions in binary images.

Acceleration and Deployment

Automatically generate C/C++, CUDA®, and HDL code for prototyping and deploying image processing algorithms to CPUs, GPUs, FPGAs, and ASICs.

“Soon after ForWarn moved into production, it detected previously unnoticed hail damage that posed a threat to a watershed. We would not have been able to do this work as efficiently without MATLAB.”

Duane Armstrong, NASA Stennis Space Center