The Wolfram Solution forImage ProcessingDrag 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 Mathematica image processing solution seamlessly integrates specialized capabilities—like state-of-the-art image processing functions, easy import of data, and an interactive interface—with the reliability of Mathematica's symbolic and algorithmic capabilities. |
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Mathematica includes 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
- 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
- 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
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And more...
- 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
Segmenting a microscopic image using a graph-based segmentation algorithm
Removing noise from an image while preserving edges
Does your current tool set have these advantages?
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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 -
Application interface independent of the underlying image resolution for easy resolution change—up to 64-bit—without changing code
Matlab requires modification of the code to change image resolution -
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
Image processing specific capabilities:
- Cut and paste or drag and drop images directly into commands or equations and operate on them as simply as on any numerical input »
- Binary, morphological, and other image segmentation algorithms for identifying shapes and regions, along with functions for shape and color analysis of image features »
- Standard linear and nonlinear image processing filters for smoothing, sharpening, removing noise, and more »
- Import and export hundreds of formats, including scientific and medical data files such as DICOM, FITS, HDF, and more »
- Free-form linguistic input produces immediate results without the need for syntax »
- Identify shapes and regions along with functions for shape and color analysis of image features
- Support for GPU computation with CUDA or OpenCL, including built-in functions for pixel operations, morphological operators, and image convolution and filtering
- Easily build interactive interfaces to instantly visualize the effects of image manipulations, such as adjusting contrasts, enhancing edges, applying filters, and more »
- Full support for images with arbitrary numbers of channels and arbitrary color depths »
- Process images with a complete set of multichannel and grayscale morphological image processing routines »
- Includes highly optimized linear and nonlinear filters for spatial and frequency-domain processing »
- Perform block and region processing of images and reassembly from arrays »
Explore the Wolfram Image Processing Solutions
White papers, case studies, videos, interactive demonstrations, documentation, and more...
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