Drag and drop images into lines of code or equations, apply sophisticated image processing algorithms, analyze, visualize, and generate interactive applications—all in one system, with one integrated workflow.
The Mathematica image processing solution seamlessly integrates specialized capabilities like state-of-the-art built-in image processing functions, easy import of data, and an interactive interface with the reliability of Mathematica's symbolic and algorithmic capabilities.
Performing neighborhood processing using highly optimized filters
Color image convolved with a second-derivative filter to enhance edges
Importing standard medical formats and instantly applying image processing operations
Segmentation of different regions in a digital head scan
Adding artistic effects and visualizing the results interactively
Image with effects such as oil paint, charcoal, solarization, etc.
Working with images as symbolic expressions
Image broken into pieces and sorted by a measure of total brightness, giving a list of images as the result
Compare Mathematica to your current tools. Do they have these advantages?
Built-in functionality for complete image processing workflow Competitor note: Matlab requires multiple extra-cost toolboxes for image processing
Automatic interactive interface construction to easily manipulate and analyze images Competitor note: Unique to Mathematica
Convenient drag-and-drop of images directly into the input line to apply image processing algorithms Competitor note: Unique to Mathematica
Application interface independent of the underlying image resolution for easy resolution change, up to 64 bit, without changing code Competitor note: Matlab requires modification of the code to change image resolution
Integrated environment for interactive visual workflow Competitor note: C, C++, and other languages require you to switch between a graphical window and text input to visualize and process images
Tight integration of the image processing framework with the core Mathematica system and more than twenty built-in application areas, such as GIS and statistics
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
Processing and analyzing biometric input such as fingerprints, iris patterns, face and ear images, retinal scans, and more
Processing satellite images for environmental applications to determine size of water bodies, existence and location of vegetation and other land covers, and more
Converting imagery into reliable artifact-free data for a GIS or geodatabase
Processing and analyzing medical images
Enhancing and restoring aerial photos for agricultural land use
Identifying the development of fatigue cracks in engineering materials and structures
Land-cover mapping through digital image processing of satellite data
Scene reconstruction, event detection, tracking, object recognition, learning, indexing, and motion estimation for computer vision applications
Analyzing remote sensing data for environmental research
Space and frequency domain filtering, intensity transformations, pattern recognition, and more for robot vision applications
Metallographic analysis, semiconductor inspection, test and measurement processes, and other industrial imaging tasks
![[ja]](/common/images2003/lang_bottom_ja.gif)
![[es]](/common/images2003/lang_bottom_es.gif)
![[zh]](/common/images2003/lang_bottom_zh.gif)