• The Wolfram Edge
• How Wolfram Compares
• 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

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

Wolfram technologies include thousands of built-in functions for computation, modeling, visualization, development and deployment »

Image processing specific capabilities:

• Comprehensive support for 2D and 3D image processing and analysis, including segmentation, registration and advanced morphological operations »
• Variety of classical as well as state-of-the-art segmentation techniques, including region growing, active contours and grow-cut for foreground/background separation and other segmentation tasks »
• Standard linear and nonlinear image processing filters for smoothing, sharpening, removing noise and more »
• Collage generation from a list of weighted or normal images »
• Variety of image analysis capabilities, including face detection and text and barcode recognition

• Advanced color processing capabilities, including support for device-independent color spaces such as Lab and LCh »
• Cut and paste or drag and drop images directly into commands or equations and operate on them as simply as on any numerical input »
• Import and export hundreds of formats, including scientific and medical data files such as DICOM, FITS, HDF and more »
• Import of high dynamic range (HDR) images and color profile data »
• Free-form linguistic input produces immediate results without the need for syntax »
• Easily build interactive interfaces to instantly visualize the effects of image manipulations such as adjusting contrasts, enhancing edges, applying filters and more »
• Capture and process images from imaging devices in real time

• Support for GPU computation with CUDA or OpenCL, including built-in functions for pixel operations, morphological operators and image convolution and filtering
• Out-of-core technology for scaling up performance to very large 2D and 3D volumetric images
• Full support for images with arbitrary numbers of channels and arbitrary color depths »
• Perform block and region processing of images and reassembly from arrays »
• Tight integration of the image processing framework with the core Wolfram System and more than 20 built-in application areas such as wavelet analysis and statistics

Organizations Using Wolfram Technologies

Consulting Solutions

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