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Java classes that enable definition of new Charsets based on other existing Charsets, without additional programming. Includes a character set with Kamenik encoding.
A simple rendering, imageprocessing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...
An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV imageprocessing library. The code calculates dense flow fields with a user-specified level of precision.
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The mathematical morphology have different applications on Imageprocessing, it represent one processing non lineal sample. We show the CIDEFORM software as result of all mathematical morphology techniques.
The objective of CLJ++(owned by ChenLuJie) is to gives lots of convenient to imageprocessing developers. This tool has been used in university's lab with many kind of purposes by researchers.
Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
A test suite and benchmark for exact Euclidean distance transform algorithms
used in ImageProcessing and computational geometry. It evaluates the
exactness and speed of algorithms for a large number of test
cases. Results can be visualized in Scilab.
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The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of imageprocessing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
LiMa means Lightweight Markup Language. It is a parser for an easy to use ASCII/Text-based markup - comparable to Markdown or the Wikipedia-Markup language with special configurable extensions in defining Links and image-resources.
UIMP(Unified Image Manipulation Program) is an OS independent ImageProcessing system, which provides over 1000 algorithms and supports web online, console and GUI program.
NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
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 imageprocessing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
Image-In is a C++ based imageprocessing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
It software decodes EAN-13 bar code picture by imageprocessing. And a GUI is ship together with it, which can take picture from web camera. So the only thing you need to recognise barcode apart you computer is a webcam.
AIPS is a set of libraries and tools to aid researchers in the fast development of new imageprocessing algorithms and tools. It is specifically designed to provide a consistent interface to the vast number of imageprocessing libraries in the field.
ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, imageprocessing and for other domains of a computational science.
libGo is a C++ class library containing all kinds of
things that proved useful to me.
Included are:
- Linear algebra, using LAPACK and CBLAS
- V4L(1) image grabber
- Multithreading
- Image containers (up to 3D)
- Some simple optimisation code
- Python embedding helper
- Matlab interface
- .. and other things, have a look at the HTML documentation!
golib grew over many years, things I had use for have been added now and then.
Some parts are better taken care of than others...
A histogram library for Java that accepts large datasets with any distribution or range with a very small memory footprint, needs no pre- or post-processing, and provides several statistical functions.