Open Source Image Processing Software - Page 7
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Image Processing Software
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MORPHE
MORphological PHenotype Extraction
MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony. -
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MatQuantify
An image processing tool
MatQuantify, written in MATLAB, detects both large-scale and subtle structural changes in the spindle or DNA and can be used to statistically compare the effects of different treatments. MatQuantify can quantify various physical properties extracted from fluorescence microscopy images, such as area, lengths of various components, perimeter, eccentricity, fractal dimension, satellite objects and orientation. It can also measure textual properties including entropy, intensities and the standard deviation of intensities. Using MatQuantify, we studied the effect of knocking down the protein clathrin heavy chain (CHC) on the mitotic spindle. We analysed 217 microscopy images of untreated metaphase cells, 172 images of metaphase cells transfected with small interfering RNAs targeting the luciferase gene (as a negative control), and 230 images of metaphase cells depleted of CHC. Using the quantified data, we trained 23 supervised machine learning classificatio -
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Medical Img Segmentation Suite
A software providing easy ways to segment structures in medical images
- 15 segmentation tools (FloodFill Strict, Adaptive Gaussian Threshold, Manual Brush (Freehand Lasso), Polygon Lasso (Click Points), Manual Bounding Box, Auto Bounding Box, Local Otsu Auto-Threshold, K-Means Clustering, Watershed, GrabCut AI, Canny Edge + Morphological Close, Morphologic Active Contours, Interactive Heatmap, Topographical Relief Map, Segment Anything AI) - Hybrid Layout (1 window with editor tools or Split-View with a preview window) - Intelligent file management (once a folder is loaded, the system recognizes which files already have masks and leaves them in the background) - Real-time filter application (CLAHE, Global Histogram Equalization, Top-Hat, Bottom-Hat, Multi-Scale Retinex, Homomorphic Filter, Sharpness Control) - Three mask and label options (conventional masks in - Lesion shape, lesion region bounding boxes, and heatmap to outline the lesion and its secondary components) - Brush/cursor sensitivity control. - Global brightness and contrast adjustments -
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A lightweight PHP implementation of Don Park's original identicon code for visual representation of MD5 hash values. The program uses the standard PHP GD library for image processing.
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PI-Based Image Encoder / Converter
Python code able to convert / compress image to PI (3.14, π) Indexes
Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! Power Management set as High Performance .. in Balanced is slow) -
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc... -
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S.A.K.I
SWISS ARMY KNIFE of IMAGES
/¯¯¯¯/\¯¯¯¯\`·.''/¯¯¯¯/\¯¯¯¯\`·.'|¯¯¯¯|:|¯¯¯¯|`·.|¯¯¯¯|`·. \____\::¯¯¯¯`·.'|.·´`·.·|::|`·.·´`·|:::|·.·´`·.|/____/`·.'|.·´`·.·|::: ____::\¯¯¯¯\`·.'|.·´`·.·|¨¨| |:::|·.·´`·.|\¯¯¯¯\·./'|.·´`·.·|::: \____\/____/`·.'|____|::|____|:::|____|:|____|`·.|____|::: '`·.:::::::::::::`·./'`·.:::::`·'`·.:::::`·.'`·.:::::`·`·.::::'`·.'`·.:::::`·. SWISS ARMY KNIFE of IMAGES SAKI-0.1 is a simple, compiled C Windows 10/11 program designed for essential batch image manipulation, supporting JPG, PNG, BMP, GIF, WEBP, and JFIF formats. It installs locally and adds an entry to the Windows Explorer context menu—labeled "SWISS ARMY KNIFE of IMAGES"—offering the following functions:: 👁View/Slideshow 🔀Convert image(s) 📐Resize 🌀 Rotate 90° 🆔 Batch Rename -
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The Scientific Image Analysis (SIA) software is an image processing application written in MATLAB for scientific analysis of images and video. SIA is designed to be intuitive and easy to use, and is free to download. While SIA is designed to meet the image processing needs of biologists, its functionalities can be used for a wide variety of applications. With SIA, users can calibrate and make single and continuous measurements of length, angle, area and the average color values within a region. Future releases will allow users to count and track objects in videos, and calculate objects' kinematic properties (e.g. position, velocity, and acceleration). SIA Reference: I. Bentley, J. Ralston, S. Garman, O. Hershberger, C.M. Probst, and C. Washer. Introducing the Scientific Image Analysis Application: A Free and User Friendly Program for Extracting Bioinformatics From Digital Images. 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0778-0787
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Talay
Image Viewer and Converter
Named after the Turkish god of oceans and seas, Talay is a lightning-fast, lightweight image viewer and converter built for Windows. Designed with both casual users and professionals in mind, it serves as a versatile utility for graphics craftsmanship and software development. Beyond simple viewing, Talay allows for seamless format conversion across dozens of file types. It also features read-only image manipulation, allowing you to inspect and analyze visual details safely without altering your original files. Whether you are managing a massive photography library, analyzing game textures, or converting assets for a project, Talay delivers robust performance without the bloat. Talay is completely free, open-source, and distributed under the MIT License. For the curious, the following main technologies have been used in the development process: C++, Visual Studio, Windows API, WinUI, Direct2D, FreeImage, and SQL. -
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Vector Raster Geographic Information Synthesis. Incorporates Vector: Vector processing, Image processing, Digital Elevation Model DEM processing. These data can be combined to be viewed in 3D. Multitude of system organization aids.
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An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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VisAmp is a visually controlled mp3 player. It was initially developed during the "Softwarepraktikum" at the Chair for Image Processing and Pattern Recognition of the University of Freiburg, Germany in 2001.
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it only wraps basic functionalities of ImageJ. The developers of WrapImaJ intend the library to support compatibilty with the main imaging systems available in the Java language and broadly used in the field of life sciences. -
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cleanvideo-cli
CLI tool for removing watermarks from AI-generated videos using frame-
cleanvideo-cli is a command-line tool designed to remove visible watermarks from AI-generated videos. It works by analyzing video frames and reconstructing the underlying pixels in watermark regions, without cropping or blurring the original content. This project is intended for developers, researchers, and creators who need a lightweight utility for cleaning preview or draft videos before further processing. Note: This tool does not bypass platform restrictions and should be used only on content you own or have the rights to use. -
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DIPlib - is Digital Image Processing Library, implemented with C and OpenGL programmable pipeline(ARB(NV)_fragment_program and ARB_fragment_shader).
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GLEWpy aims to bring advanced OpenGL extensions to Python. This allows the Python OpenGL developer to use features such as fragment/vertex shaders and image processing on the GPU. It serves as a compliment to PyOpenGL and toolkits such as GLUT and SDL.
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ijTools
A set of plugins and tools for ImageJ (Image processing sofware)
A collection of plugins and tools for the ImageJ software. Contains modules for image filtering (directional filtering), segmentation, analysis (perimeter estimation, geodesic diameter...), or visualisation (image overlay). -
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matImage
An image processing and analysis library for Matlab
MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT). Project is being transfered to GitHub: http://github.com/dlegland/matImage -
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palbum is a perl script which turns a directory (or directory hierarchy) full of images into a nice image gallery. It generates thumbnails and index.html files, and requires no configuration. It uses the ubiquitous netpbm library for image processing.
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This project contains an open-source implementation of an OPT platform. The 3D-printable components are provided to built your customized sample stage. We offer our open source MATLAB software with an GUI for OPT imaging. We developed a generalized automated workflow including a two-step registration approach for correcting the center of rotation and provide accurate and high-quality 3D reconstruction. *Here we provide the raw tomography videos recorded using the zOPT hardware. *For source codes and more information, please go to https://github.com/Hq-Z/zOPT
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BRIC
BRIC is a powerful tool for batch image processing.
Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten. -
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A3D Legacy Library
Legacy C++ libraries for basic image processing
This Library was released by Acute3D for educational purposes. It is distributed under a BSD license. Some derivative works are used for teaching C++ development and image processing at Ecole des Ponts ParisTech. The Library is composed of 4 modules: - Common: base containers, random number generation, timer functions. - Images: image I/O and basic image processing algorithms. - LinAlg: simple wrappers for linear algebra algorithms. - Graphics: basic graphical user interface based on wxWidgets. -
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Image processing attempts to enhance certain features in images and suppress others. However, we aren't processing just any image with this ACL2 software, but images important to scientific research where accuracy must be insured by a mathematical proof.
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Create a gamer who can play instead of you. Using image processing and aritificial intelligence, a AI robot will play a game and may clear the most difficult level.
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ANDTool
Analysis Nuclei DAB (AND) Tool
Analysis Nuclei DAB (AND) Tool is a Graphical User Interface (GUI) to analyse microscopy images representing cells with nuclei stained using DAB dyes. The tool requires as input the original RGB images, and the FastRed, FastBlue, DAB channel, easily obtained using the Fiji function: "ImageJ" -> "Image" -> "Colour Deconvolution" -> "FastRed FastBlue DAB" Then, the tool first segment the nuclei using the FastBlue channel and the DAB channel, and then computes statistics by subdividing the sample in three regions according to the FastRed channel: a dark-red ROI, a light-pink ROI and a white ROI. ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. MAIN CONTACT: Filippo Piccinini (E-mail: filippo.piccinini85@gmail.com)
