Open Source Image Processing Software - Page 9

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.

A histology staining analysis and quantification tool based on machine learning.

A command-line utility for image processing.

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

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)

Fluorescence microscopy became a common tool in cell and molecular biology. Image analysis of fluorescent molecules provides key information about the location, interactions, and dynamic behavior of target molecules. Usually user needs to recognize, characterize and classify particles, and in many cases to do statistical inferences from data collected. FluoJ is a software tool to automate many of these steps. We used it to measure sperm quality, cells movement, virus infection in plants and apoptosis in cancer cells. This results were achieved providing a customizable environment for particles detection, measurement and classification. A wide number of predefined features can be used to characterize fluorescent specimens (e.g. area, circularity, brightness, etc), and new descriptors can be easily added. Once configured, software can be trained to automatically classify particles or used directly for automatic image 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.

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

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

FreeROI is a versatile image processing software developed for neuroimaging data. Its goal is to provide a user-friendly interface for neuroimaging researchers to visualize and analyze their data, especially in defining region of interest (ROI) for ROI analysis.

A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.

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.

GLIP-Lib is an OpenGL image processing library written in C++. It features all the necessary tools to quickly build texture filters and pipelines and operate them on the GPU.

GLipKit (GL Image Processing Kit) is a collection of image processing and computer vision algorithms performed on current programmable 3D graphics hardware for faster execution. The main focus is currently computational stereo.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

GPUVision is a framework for creating GPU based general purpose programs, image processing programs, and computer vision programs in C++. Supported libraries include matrix operations, graph partitioning, kernels, corner detection, edge detection etc.

Geny Photo Effects is simple image processing for Android. This project is for educational purpose.

GpuBIP is an image processing application for CUDA, targeted mainly to process big images organized in tiles. It uses nip2 workspace files to process images on GPUs. However, only small amount of filters will be available (is planned).

GraphicsMagic is an open source project that distributed under the GPL. It is an image processing application, and developed/compiled with Delphi 6/7 + Graphics32.

A web-based photo gallery that can be easily integrated into your website. Includes server-side image processing script that can be run on the command-line or by cron job.

Nowadays, the manual cell counting, performed directly by looking through the microscope’s oculars by using a tally counter and a hemocytometer, still is the gold standard method to count Live&Dead cells (Trypan Blue is typically used to stain the dead cells). However, performing the cell counting by tagging the cells in a steady image mosaic increases the reliability of the counts performed. Unfortunately, to build a mosaic of a hemocytometer's grid shows some problem due to the repeated patterns (i.e., the squared blocks of the grid). GridMos is an open-source software tool conceived to build an image mosaic of a hemocytometer's grid. It is optimized to build the mosaic starting from a sequence of overlapping images previously acquired. The Graphical User Interface (GUI) implemented makes GridMos a very user-friendly software tool. Requirements: MATLAB 2009b (32-bit) and Image Processing Toolbox 8.1 or later versions.

Magie is a HDRI (High Dynamic Range Image) and related tasks infrastructure toolkit which is basically focused on the library of the same name. At present Magie contains adaptive DR transformer GIMPs plug-in only.

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.

S2iLib includes Harpia, a visual way of programming image processing algorithms, with a growing selection of OpenCV functions. Harpia is portable, and features capture from video devices in GNU/Linux and MS-Windows, and retrieves a compact OpenCV C-code.