Open Source Linux Image Processing Software - Page 8

This is a small Java based library and a software developed on NetBeans for the studying purposes of CS students who are doing image processing. -sasi

Image Processing for Multiple Sclerosis studies

An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.

This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.

Java classes and packages for digital image processing under ImageJ using the Colt Java API, and an enhanced Plugins Control Panel for ImageJ

This project aims at implementing a variety of the image processing algorithms by means of GIL.

Imagine is a OOP library for image manipulation built in PHP 5.3 using the latest best practices and thoughtful design that should allow for decoupled and unit-testable code. ImagineInterface (Imagine\Image\ImagineInterface) and its implementations is the main entry point into Imagine. You may think of it as a factory for Imagine\Image\ImageInterface as it is responsible for creating and opening instances of it and also for instantiating Imagine\Image\FontInterface object. The main piece of image processing functionality is concentrated in the ImageInterface implementations (one per driver - e.g. Imagick\Image). The main idea of Imagine is to avoid driver specific methods spill outside of this class and couple of other internal interfaces (Draw\DrawerInterface), so that the filters and any other image manipulations can operate on ImageInterface through its public API.

NOTE: The source repository for this project has been moved to a NEW LOCATION: ************************************************************************************ https://github.com/imagingbook/imagingbook-public ************************************************************************************

A very basic library with image processing functions.

JCapture is a pure 'Java Screen Capture Program' written by Gorav Taneza. Features include timer based and manual capture. Saving of capture image in jpg, jpeg and png formats. Future plans include timer based repeat, email capability and basic image processing like rotate, sharpen. Moved to GitHub: https://github.com/goravtaneza/jcapture

Java Image Processing Package for Basic Image Processing Operations like reading, writing,displaying ...... etc .. without using any additional tools .

JIPL (Java Image Processing Library) is an attempt to provide an efficient way to load, filter, manipulate, and save images. The goal is to provide an intuitive and extensible library.

This is an Image Processing toolkit written in Java. The source code is intended to help you understand processes such as Color Inversion, Edge Detection, Fourier Transform, Morphological process, Laplacian Sharpening, Gaussian Noise Adding, and hist

JPhotoShop is based on java. The aim of JPhotoShop is to offer an effetvie image processing system . JPhotoShop is likely to achieve most function of Adobe PhotoShop you can read more about jphotoshop from: http://souljava.blog.163.com

Java 3D VR with basic headtracking. Basics of blob tracking, image processing. Make sure you have a webcam and an infrared led

JIF (Java Imaging Framework) aims to provide a rich client platform (plugin framework) for image processing.

The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.

This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images.

The Local Binary Pattern (LBP) is a texture operator that is used in several different computer vision applications and implemented in a variety of platforms. When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. "Evaluation of real-time LBP computing in multiple architectures," Journal of Real Time Image Processing, 2014

robust image processing library

LIBGPIV is software for (Digital) Particle Image Velocimetry (PIV). It contains the core functions for image-processing, image evaluation, validation, post-processing, input/output functions, memory allocation etc.

Grayscale and binary image processing library for Qt.

Lightningbeam is a free, open-source alternative to Adobe Flash. It is written in Python, and uses PyGUI for a GUI, swfc for compiling, and Cairo for image processing. It has the ability to export to HTML5 as well as .swf, allowing for viewing on non-Flash-compatible devices (such as the iPhone or the Kindle), and can pack all resources into a single HTML file for portability. Lightningbeam supports ActionScript, allowing for interactive content creation.

Stopmotion is a Free Software application for creating stop-motion animated movies. It lets you create an animation from pictures captured from a webcam, a videocamera or from pictures imported from the harddrive, add sound effects and export a file.

LuaCV is OpenCV library wrapper for Lua language. Main goal is to access fast image processing library to light-weight, non-type language. Thanks to CMake project is a much easier to compile it under many OS platforms which are supported by OpenCV. LuaCV is being developed at faculty of Electrical Engineering and Communication of Brno University of Technology in Czech republic. Working with: Lua 5.2, OpenCV 2.2-2.4 LuaCV-0.2.0 (svn rev. 62) is last version compatible with Lua 5.1 but working only with OpenCV 2.2 and below.