Browse free open source Image Processing Libraries and projects for Linux below. Use the toggles on the left to filter open source Image Processing Libraries by OS, license, language, programming language, and project status.

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  • 1
    Asido is a PHP (PHP4/PHP5) image processing solution, with "pluggable" drivers(adapters) for virtually any environment (GD2, Image Magick, etc). Asido does: various resize routines, watermark, rotation, copy images, cropping, grayscale, convert, etc.
    Downloads: 0 This Week
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  • 2
    Foad (EKG Processing)
    Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.
    Downloads: 0 This Week
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  • 3
    Generic Image processing Library of Library (GILL) is a cross-platform and GP-based C++ image processing architecture helping to develop flexible and expandable image processing library.
    Downloads: 0 This Week
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  • 4
    IMGH (IMaGe library in C++ Header files) is a simple, light-weight, and cross-platform image processing library, that supports simple editing and drawing, multiple pixel formats (pointers and float). Designed for developers and researchers.
    Downloads: 0 This Week
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  • 5
    Grayscale and binary image processing library for Qt.
    Downloads: 0 This Week
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  • 6

    ivl

    A C++ template library extending syntax towards mathematical notation

    ivl is a full-header template C++98 math library with convenient yet powerful syntax. It extends classic C++ syntax towards mathematical notation while making use of the language's elements like classes, structs, operators and functions. Expression written using ivl are excessively optimized. In other words, ivl allows writing simpler and more expressive statements using math-like formulas while taking care of optimizing them. ivl features arrays, tuples and custom function-like objects with left-right overloading, function pipelining and function vectorization, automatic lazy evaluation, sub-arrays and other views of a single or multidimensional arrays, stl-compatible iterators, multidimensional iterators and multithreading. ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl.
    Downloads: 0 This Week
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