Open Source Image Processing Software - Page 8

Simply put, CSSgram is a library for editing your images with Instagram-like filters directly using CSS. What we're doing is adding filters to the images, as well as applying color and/or gradient overlays via various blending techniques to mimic filter effects. This means less manual image processing and more fun filter effects on the web! We are using pseudo-elements (i.e. :before and :after) to create the filter effects, so you must apply these filters on a containing element (i.e. not a content-block like <img>. The recommendation is to wrap your images in a <figure> tag. If you use custom naming in your CSS architecture, you can add the .scss files for the provided styles within your project and then @extend the filter effects within your style definitions. Mixins allow for multiple filter arguments to be passed into your classes. This is useful for if you want to add filters in addition to the ones provided (i.e. add a blur).

CT4AM is a cross-platform toolkit for 3D-image processing in the domain of additive manufacturing for toolpath visualisation or correlation to tomographic data and related materials science. It is written in C++ and provides small, problem-specific applications for viewing, analysing and visualising of volumetric data from micro-CT scans with respect to the complex process parameters and characteristics of additive manufacturing. Moreover, data analysis and processing of G-code are key assets of the project. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, CT4AM is a collection of small and simple apps that have already been successfully used to solve various problems in materials science and process visualization. You can either execute these tools directly or use their source codes to develop your own application for toolpath analysis or correlation.

ColorI-DT (Color Image Difference Tool): Colori-DT is an open-source tool developed in MATLAB and designed to measure color differences in images. It is intended to provide researchers and professionals with an accurate and user-friendly means of assessing color variation and discrepancies in digital images according to different metrics. Contacts: Filippo Piccinini (emails: filippo.piccinini@irst.emr.it; f.piccinini@unibo.it) Repository: https://sourceforge.net/p/colori-dt/ How to cite us when using the tool: Filippo Piccinini et al. “Colori-DT: an open-source tool for the quantitative evaluation of differences in microscopy color images”.

Compost is a modular image processing program. It has a API for plugin developers and a simple scripting language.

CompressPng is a Java/Groovy library/plugin aimed at automating the compression of PNG images in an Android / JVM-based build environment. It is intended to help with automatically compressing images (e.g., for Android apps) during the build process, possibly integrating with Gradle or build scripts, thereby reducing the size of PNG assets integrated into apps. Support for usage via Gradle or other JVM build tools (via dependencies). Automatic PNG compression integrated into build workflows. Transparent integration (developers may not need manual steps). Minimal configuration surface (simple plugin / API).

CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.

Czimps (pronounced chimps) allows you to process images and short video clips, produce new images and visualize data in 2d and 3d. It can accept input from webcams etc. and often process this in real time. The project uses the Qt cross platform development system. There are a lot of internal functions and tools, but the majority of the underlying functionality is due to public domain libraries which must be compiled separately and linked to this project. (see Image Magick, Open CV, VTK, MuParser, POV-Raytracer and CombineZ) It is impossible to list all of the uses for the software, the basic idea is that you develop or download a Function List which will solve some graphics problem when it is run. Function Lists are built from simple functions, in turn the settings and properties of these functions can be altered interactively. In essence a function list is like a program that provides easy interaction with the end user, e.g. interactive previews to alter settings.

Algorithms based on Total Variation (TV) minimization are prevalent in image processing. They play a key role in a variety of applications such as image denoising, compressive sensing and inverse problems in general. In this work, we extend the TV dual framework that includes Chambolle's and Gilboa-Osher's projection algorithms for TV minimization. We use a flexible graph data representation that allows us to generalize the constraint on the projection variable. We show how this new formulation of the TV problem may be solved by means of fast parallel proximal algorithms. On denoising and deblurring examples, the proposed approach is shown not only to perform better than recent TV-based approaches, but also to perform well on arbitrary graphs instead of regular grids. The proposed method consequently applies to a variety of other inverse problems including image fusion and mesh filtering.

The DIPS, \"Digital Image Processing with Sound\", is the set of Max objects that handles the real-time visual image processing events and the OpenGL functions in the jMax GUI programming environment.

An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.

With help of active trackbars you can change the values of RGB and HSV to threshold the live image feed from your camera!

The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.

DataObjects is a high-level C++ library that assists developers in designing 2D or 3D applications in the fields of computer gaming, computer graphics, and image processing.

The main objective of the proposed software solution is to improve the performance in dental diagnosis using infrared lock-in thermography and complex image processing algorithms for the determination of defective zones of teeth. The recorded amplitude profile of the thermal wave shows a maximum corresponding to a heat accumulation in the region where the open micro-gap is found, whereas a minimum in the phase profile is detected. These maxima/minima are convenient indicators that allow to locate surface breaking defects on teeth. For the purpose of emphasizing very small temperature variations surrounding the thin flaws, different image processing algorithms were developed and included within the DCD software solution. Authors: Bogdan Belean and Mihaela Streza Acknowledgement The software solution was supported by the Romanian UEFISCDI research grant PNII-RU-TE-2014-4-1507 (IMAGEDENT).

A simple modular program for manipulating images

The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.

Goal of this project is Easy tool for digital image processing. It provides modularized filter, macro script, and GUI tool for WYSIWYG.

Digital Image Processing Toy process in real time live images captured from video4linux compatible hardware. Remove background from captured tv camera images, invert image colors, split rgb field, display coor istograms, etc.... Strong changes in light i

Diviz is a tractography software based on python and dipy ,wx-widgets vtk and some image processing algorithms

A simple rendering, image processing 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...

**Zastosowanie**: Głównym celem projektu jest optymalizacja wykorzystania pamięci w graficznych bazach danych poprzez analizę podobieństwa cosinusowego wektorów cech obrazów. Umożliwia identyfikację duplikatów (obrazów bardzo do siebie podobnych), co prowadzi do efektywniejszego zarządzania zasobami. **Program** W chwili obecnej program przeszukuje obrazy w katalogu, do którego ścieżka została zapisana w pliku 'Data\settings.txt'. **Użycie**: Program obsługuje się w terminalu. Po piewszym wykonaniu programu, zostaje utworzony katalog Data, w miejscu gdzie zapisany jest program. Aby wybrać ścieżkę do katalogu z obrazami należy w pliku 'settings.txt' zapisać ścieżkę. Następnie można wykonywać program z: -an, -mnb, -c, -i Link do GitHub: https://github.com/Duke-Axer/Duplicate-Finder Wszystkie pytania proszę pisać na b.gabka.nkn@gmail.com

This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website. You will start with 3 warnings for the references not being found. Expand the References folder within the solution explorer delete the 3 with yellow warning icons and Add fresh references to them. Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.

The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. The discrete-time equivalent of Wiener's work was derived independently by Kolmogorov and published in 1941. Hence the theory is often called the Wiener-Kolmogorov filtering theory. In these examples the signal processes is the movement of the mouse and random data. While a simple application the algorithm can have numerous applications including image smoothing, edge tracking and optical flow to name a few.

Image Processing software for combining information from images of the same scene, but with illumination variations or small changes. This work is the result of the coursework of an Image Processing regular course at IMPA.