Open Source Image Processing Libraries - Page 6

ivl is a full-header template C++98 math library with convenient yet powerful syntax. It extends classic C++ syntax towards mathematical notation while making use of the language's elements like classes, structs, operators and functions. Expression written using ivl are excessively optimized. In other words, ivl allows writing simpler and more expressive statements using math-like formulas while taking care of optimizing them. ivl features arrays, tuples and custom function-like objects with left-right overloading, function pipelining and function vectorization, automatic lazy evaluation, sub-arrays and other views of a single or multidimensional arrays, stl-compatible iterators, multidimensional iterators and multithreading. ivl includes a rich set of functions and operators, including operations for image processing. Seperate modules are also included. The module ivl-lina implements a linear algebra LAPACK wrapper. The module ivl-cv integrates OpenCV into ivl.

library for image processing in java

A desktop calculator for Linux. Originally 'kgcalc' was developed as a demo program for Kulina Graphics Library and 'kgdevelop' (https://www.sourceforge.net/projects/kulinagraphics). But it was felt it may have a wider interest and hence this project. May be its extra feature is its editable view of the calculating expression and ability to recover previous calculations. Kulina Graphics Library uses GraphicsMagick for its image processing and depends on GaphickMagick and its dependencies. 'kgcalc' binary is 64 bit and linked statically with kulina graphics library and its dependencies.

Desktop clock for X Windows/Linux, provides desktop clock and a alert/notification system. Built using Kulina Graphics Library (kglib) and the companion development tool 'kgdevelop', 'kgclock' has very few other dependencies. However Kulina Graphics depends on Graphic Magick for its image processing components. Hence Kulina Graphics depends on Graphic Magick and its dependencies. Kulina Graphics Libray and kgdevelop are available for free download. The binary file for 'kgclock' is statically linked with kulina graphic library and its dependencies and hence should work for any 64bit Linux distribution. A tarball for binary and another source tarball are provided. Also provided is a .deb package which can be installed using 'dpkg -i <package>'. The binary tarball should work for any 64 bit Linux distribution. If one prefers to build from source one need to install Kulina Graphics also. One specialty of 'kgclock' its low cpu usage, after one minute it is negligible.

libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.

Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library.

Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.

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

A numerical library designed for n-dimensional image-processing written in Java.

New Python bindings for the popular OpenCV image processing library.

openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.

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.

Image cropping is a common task in many web applications. Usually just cutting out the center of the image works out ok. It's often a compromise and sometimes it fails miserably. Smartcrop.js is the result of my experiments with content aware image cropping. It uses fairly simple image processing and a few rules to attempt to create better crops of images. This library is still in it's infancy but the early results look promising. So true to the open source mantra of release early, release often, I'm releasing version 0.0.0 of smartcrop.js. Smartcrop.js implements an algorithm to find good crops for images. It can be used in the browser, in node or via a CLI. Smarcrop requires support for Promises, use a polyfill for unsupported browsers or set smartcrop.Promise to your favorite promise implementation (I recommend bluebird).

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The package includes an initial version of the project you'll be working with. While you're working, you'll need a basic HTTP server to serve your pages. Test out the web server by loading the finished version of the project. The main goal of tracking.js is to provide those complex techniques in a simple and intuitive way on the web. We believe computer vision is important to improve people's life, bringing it to the web will make this future a reality a lot faster.

Uses GDAL and wxPython to display, process and manipulate satellite imagery. Has Python Command Line embedded to access RS library of functions.

x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE