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Image Processing Toolbox for Matlab (64-bit) for Windows

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Used Image Processing Toolbox for Matlab (64-bit) for Windows?

Editors’ Review

Download.com staff
Anona Labs' solution offers substantial speedups for Matlab image processing code, delivering an average X10 performance gain. It enhances core image manipulation and analysis capabilities.

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  • Pros

    • Achieves average X10 performance gain in Matlab image processing.
    • Comprehensive functions for image manipulation and analysis.
    • Supports image file I/O including DICOM.
    • Includes color space transformations and linear filtering.
    • Provides mathematical morphology and texture analysis.

  • Cons

    • Specific details on hardware requirements are not provided.
    • Integration process with existing Matlab environments is not detailed.
    • No information on supported Matlab versions is given.
    • Performance gains may vary based on specific code complexity.
    • Cost and licensing model are not mentioned.
Icon of program: Image Processing Toolbox …

Image Processing Toolbox for Matlab (64-bit) for Windows

Download now

Used Image Processing Toolbox for Matlab (64-bit) for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
2.1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 10
  • Windows 2003
  • Windows Vista
  • Windows 7
  • Windows XP
Additional Requirements
Matlab (64-bit) 7.0
POPULARITY
Total Downloads
11,884
Downloads Last Week
1
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Developer’s Description

By Anona Labs
Speed up your image processing Matlab code with X10 performance gain on average.

The Image Processing Toolbox (IPT) provides a comprehensive set of functions for image manipulation, analysis, digital imaging, computer vision, and digital image processing. The IPT capabilities include image file I/O (including DICOM files), color space transformations, linear filtering, mathematical morphology, texture analysis, pattern recognition, image statistics and others. The IPT contains a full reference manual with mathematical descriptions of various algorithms and over 100 code examples of the function usages.

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