Open Source Linux Image Processing Software - Page 6

Image Processing Software for Linux

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  • 1
    CSSgram

    CSSgram

    CSS library for Instagram filters

    Simply put, CSSgram is a library for editing your images with Instagram-like filters directly using CSS. What we're doing is adding filters to the images, as well as applying color and/or gradient overlays via various blending techniques to mimic filter effects. This means less manual image processing and more fun filter effects on the web! We are using pseudo-elements (i.e. :before and :after) to create the filter effects, so you must apply these filters on a containing element (i.e. not a content-block like <img>. The recommendation is to wrap your images in a <figure> tag. If you use custom naming in your CSS architecture, you can add the .scss files for the provided styles within your project and then @extend the filter effects within your style definitions. Mixins allow for multiple filter arguments to be passed into your classes. This is useful for if you want to add filters in addition to the ones provided (i.e. add a blur).
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  • 2
    CT4AM

    CT4AM

    Tools for 3D image analysis of additively manufactured parts

    CT4AM is a cross-platform toolkit for 3D-image processing in the domain of additive manufacturing for toolpath visualisation or correlation to tomographic data and related materials science. It is written in C++ and provides small, problem-specific applications for viewing, analysing and visualising of volumetric data from micro-CT scans with respect to the complex process parameters and characteristics of additive manufacturing. Moreover, data analysis and processing of G-code are key assets of the project. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, CT4AM is a collection of small and simple apps that have already been successfully used to solve various problems in materials science and process visualization. You can either execute these tools directly or use their source codes to develop your own application for toolpath analysis or correlation.
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  • 3
    ColorI-DT

    ColorI-DT

    A tool for the quantitative evaluation of differences in color images

    ColorI-DT (Color Image Difference Tool): Colori-DT is an open-source tool developed in MATLAB and designed to measure color differences in images. It is intended to provide researchers and professionals with an accurate and user-friendly means of assessing color variation and discrepancies in digital images according to different metrics. Contacts: Filippo Piccinini (emails: filippo.piccinini@irst.emr.it; f.piccinini@unibo.it) Repository: https://sourceforge.net/p/colori-dt/ How to cite us when using the tool: Filippo Piccinini et al. “Colori-DT: an open-source tool for the quantitative evaluation of differences in microscopy color images”.
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  • 4
    Compost is a modular image processing program. It has a API for plugin developers and a simple scripting language.
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  • 5
    CompressPng

    CompressPng

    Java Groovy library plugin

    CompressPng is a Java/Groovy library/plugin aimed at automating the compression of PNG images in an Android / JVM-based build environment. It is intended to help with automatically compressing images (e.g., for Android apps) during the build process, possibly integrating with Gradle or build scripts, thereby reducing the size of PNG assets integrated into apps. Support for usage via Gradle or other JVM build tools (via dependencies). Automatic PNG compression integrated into build workflows. Transparent integration (developers may not need manual steps). Minimal configuration surface (simple plugin / API).
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  • 6
    CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
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  • 7
    The DIPS, \"Digital Image Processing with Sound\", is the set of Max objects that handles the real-time visual image processing events and the OpenGL functions in the jMax GUI programming environment.
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  • 8
    An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.
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  • 9
    DThresh

    DThresh

    Get perfect threshold value for image processing

    With help of active trackbars you can change the values of RGB and HSV to threshold the live image feed from your camera!
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  • 10
    The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.
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  • 11
    The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.
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  • 13
    Digital Image Processing Toy process in real time live images captured from video4linux compatible hardware. Remove background from captured tv camera images, invert image colors, split rgb field, display coor istograms, etc.... Strong changes in light i
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  • 14

    Diviz

    Diviz is a tractography software based on python

    Diviz is a tractography software based on python and dipy ,wx-widgets vtk and some image processing algorithms
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  • 15

    EMGU Face Recognition

    Using EMGU to perform Principle Component Analysis (PCA)

    This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website. You will start with 3 warnings for the references not being found. Expand the References folder within the solution explorer delete the 3 with yellow warning icons and Add fresh references to them. Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.
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  • 16
    Image Processing software for combining information from images of the same scene, but with illumination variations or small changes. This work is the result of the coursework of an Image Processing regular course at IMPA.
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  • 17
    Exposure

    Exposure

    Learning infinite-resolution image processing with GAN and RL

    Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may lead to suboptimal results such as posterization. Moreover, jpg and most pngs assume an sRGB color space, which contains a roughly 1/2.2 Gamma correction, making the data distribution different from training images (which are linear). Exposure is just a prototype (proof-of-concept) of our latest research, and there are definitely a lot of engineering efforts required to make it suitable for a real product.
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  • 18
    FIPS is an image processing software, that allows you to edit your images by using several image filters, like minimum and maximum filter, median filter or filters that try to optimize the contrast.
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  • 19
    FibroSoft

    FibroSoft

    Histology staining analysis and quantification tool.

    A histology staining analysis and quantification tool based on machine learning.
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  • 20
    A command-line utility for image processing.
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  • 21
    Filters is a image processing library: filter sobel,convolution,morphology,vectorization,segmentation,blob,blur,histogram,susan,threshold,texture,contrast,standard deviation,canny,distance map,matrix,contour,edge,rotation,correlation,gradient anisotropic
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  • 22
    Calculating 2D-Gray-scale bitmaps Calculation of a 3D-rotation-body form a detected area by using different image processing algorithms. Developed for the German Aerospace Center (DLR). Used Projects: Substance (GUI)
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  • 23
    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.
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  • 24
    Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
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  • 25

    Fork PeRcolate

    A collection of synthesis, signal processing, and image processing

    A collection of synthesis, signal processing, and image processing objects originally authored by Dan Trueman and Luke Dubois. Pd port made by Olaf Matthes and help files ported by Martin Dupras. Fixed by Antoine Le Bras for APO33. http://apo33.org The official PeRColate web page can be found at: http://music.columbia.edu/PeRColate
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