Open Source Windows Image Processing Libraries - Page 5

A library for the integration of MATLAB inside .NET projects. It provides the fastes access to MATLAB functions for computation and image processing

Fulguro is an optimized 2D library for image processing with Mathematical Morphology and Linear processing

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.

IPA library is a platform developed for image processing and analysis. It composed by a lot of class of algorithms and functions with loose coupling, which can help users to develop professional applications of image processing or computer vision rapidly

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.

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.

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.

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

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.

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, AVIF and WebP images of varying dimensions. Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output.

The application shows a 3D donut, that can be rotated with two sliders in both axis. It is a simple example of what can be done with frojasg1.com platform libraries: - Zoom option for components - Multi language - Dark mode option - Automatic Undo-Redo for text components, with popup menu included - Text Search/Replace window prepared to be used. - Base components for auto-completion windows. - Automatic component relocation after redimensioning a window. - Base classes for formating text on the fly in JTextPanes - Improved JFileChooser and other functions: - Basic functions of all kind. - Accurate image resizing. - Function to process images. - Classes to easy the xml file management (without validation) - JDK-17 compatibility You will find more about it at this web site: https://www.frojasg1.com:8443/downloads_web/web/html/donut.html?origin=sourceforge

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