Digital Image Processing

Process digital images with computer algorithms

Digital image processing is the use of computer algorithms to create, process, communicate, and display digital images. Digital image processing algorithms can be used to:

Convert signals from an image sensor into digital images
Improve clarity, and remove noise and other artifacts
Extract the size, scale, or number of objects in a scene
Prepare images for display or printing
Compress images for communication across a network

The following images illustrate a few of these examples:

Removing noise using a Wiener Filter.

Counting circular objects in an image.

Effective techniques for processing digital images include using algorithms and tools that provide a comprehensive environment for data analysis, visualization, and algorithm development.

For more information, see Image Processing Toolbox™.

Examples and How To

What Is Image Processing Toolbox? (2:12) - Video
Color-Based Segmentation with Live Image Acquisition (5:11) - Video
Dilation Algorithms and Morphology - Blog
Applying Contrast Enhancement Techniques - Example
Performing Edge Detection and Morphological Operations - Example
Identifying Round Objects - Example

Software Reference

Analyzing and Enhancing Images - Documentation
Spatial Transformations - Documentation
Image Deblurring - Documentation
Color Image Processing - Documentation
Morphological Operations - Documentation
Image Processing Tool - MATLAB App
Finding Circles Tool - MATLAB App

Making Vehicles and Robots See: Getting Started with Perception for Students (4 videos)

Image Processing Application Examples

See examples