Open Source Cygwin Image Processing Software
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Image Processing Software for Cygwin
Browse free open source Image Processing software and projects for Cygwin below. Use the toggles on the left to filter open source Image Processing software by OS, license, language, programming language, and project status.
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GraphicsMagick
Swiss army knife of image processing
GraphicsMagick provides a set of commandline tools and programming APIs for manipulating, editing, and converting raster and vector images. It is derived from ImageMagick, with the objective of providing better stability and performance than ImageMagick while retaining the original MIT/X11 license. -
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kradview is a viewer of images obtained for some different sources: X-ray, NMR and all DICOM-compatible imaging devices. Its aim is to be a complete platform for medical imaging and image processing.
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Bitmap to text
converts a bitmap image to text
*not finished* *the code is a shit* feel free to edit the project by your own and send me the changes the main language is vb6, when i started i didnt know a lot of things about images and when i was going to edit again i got too lazy for re-writting the image processing, so you will need a lot of time to correct all my mistakes -
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Fourier is a portable image processing and analysis library written in ANSI C. It implements operations such as color space conversions, noise removal, enhancement, morphology, edge detection, thresholding, segmentation, and visual feature extraction
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Scribe Software is a software system for the nondestructive scanning and digitization of books with the Internet Archive's Scribe machine. The Java UI and PHP image processing pipeline produce books for www.archive.org and other digital libraries.
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UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.
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The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
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