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, 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
You can perform digital image processing in MATLAB with Image Processing Toolbox, which provide digital image processing algorithms, tools, and a comprehensive environment for data analysis, visualization, and algorithm development.
Examples and How To
- Performing Color-Based Segmentation (Video)
- Dilation Algorithms and Morphology (Blog)
- Applying Contrast Enhancement Techniques (Example)
- Performing Edge Detection and Morphological Operations (Example)
- Calculating Statistics for Segmented Objects (Example)
Software Reference
- Analyzing and Enhancing Images (Documentation)
- Spatial Transformations (Documentation)
- Image Deblurring (Documentation)
- Color Image Processing (Documentation)
- Morphological Operations (Documentation)
See also: Steve on Image Processing, Digital Image Processing Using MATLAB (book), image enhancement, image segmentation, image transform, image analysis, spatial transformations and image registration, image and video processing
