The Wolfram Solution for

Image Processing

Drag and drop images into lines of code or equations; apply sophisticated image processing algorithms; and analyze, visualize, and generate interactive applications—all in one system, with one integrated workflow.

The Wolfram image processing solution seamlessly integrates specialized capabilities—like state-of-the-art 2D and 3D image processing functions, easy import of data, and an interactive interface—with the speed and performance benefits of GPU computation, parallel processing, out-of-core technology, and instant deployment on the web and through APIs.

Importing, visualizing, and processing 3D volumetric images
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Key Capabilities

Wolfram technologies include thousands of built-in functions and curated data on many topics that let you:

  • Process and analyze biometric input such as fingerprints, iris patterns, face and ear images, retinal scans, and more
  • Slice through 3D data and explore the inside of a volume
  • Convert imagery into reliable, artifact-free data for a GIS or geodatabase
  • Process satellite images for environmental applications to determine size of water bodies, existence and location of vegetation and other land covers, and more
  • Apply classifiers to images or image features using built-in machine learning capabilities
  • Enhance and restore aerial photos for agricultural land use
  • Process and analyze medical images
  • Identify the development of fatigue cracks in engineering materials and structures
  • Analyze remote sensing data for environmental research
  • Map land cover through digital image processing of satellite data
  • Scene reconstruction, event detection, tracking, object recognition, learning, indexing, and motion estimation for computer vision applications
  • Metallographic analysis, semiconductor inspection, test and measurement processes, and other industrial imaging tasks
  • Space and frequency domain filtering, intensity transformations, pattern recognition, and more for robot vision applications
  • Instant deployment of image processing applications on the web and through APIs

Segmenting a microscopic image using a graph-based segmentation algorithm

Removing noise from an image while preserving edges

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How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Built-in functionality for complete image processing workflow
    Matlab requires multiple extra-cost toolboxes for image processing
  • Automatic interactive interface construction to easily manipulate and analyze images
    Unique to Mathematica
  • Conveniently drag and drop images directly into the input line to apply image processing functions
    Unique to Mathematica
  • Generic interface creation, independent of the underlying image type, ranging from binary images to 64-bit real images
    Matlab requires modification of the code based on the underlying image data type
  • Integrated environment for interactive visual workflow
    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 20 built-in application areas, such as GIS and statistics

Detecting straight lines in an image using the Hough transform

Repairing image defects by inpainting

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Explore the Wolfram Image Processing Solution

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