Convex processing is a quick and efficient library to implement algorithms based on convex analysis. Some specific fields are addressed, such as general image processing and tomography. The graphical interface allows users to play with some reconstruction algorithms in tomography and denoising. For developers, the API is simple, several examples of use are provided, and all important parts are covered by unit tests. This software is intended to help people play, understand, and improve those algorithms.
ACCORD is a C library for composition of SEM or scanning helium-ion microscope images with correction of drift. It is able to compose (average) large sets of extremely noisy images that were acquired by scanning charged-particle microscopes at the highest possible speeds (lowest pixel-dwell times). If the images are composed using traditional techniques, they usually become extensively blurry. The technique that is implemented in this software corrects these derogations by pre-shifting the composed frames.
Simple Image Reducer is an GTK application to easily reduce and rotate images. It can be useful for processing digital photos before sending by email or uploading on the Web. Image files can be supplied to the application from the file manager using the context menu "Open with...", or dragging files to the main window.
Fluere is a graphical software package for particle image velocimetry (PIV). Fluere is highly optimized for parallel processing and runs on multiple platforms. The goal of the project is to provide researchers and educators with high-quality velocimetry software that incorporates the latest advancements in PIV processing, while having complete knowledge of the algorithms used.
Applications that use images usually have requirements for the size of these images. To be able to use an image, users have to cut out the area they want and then resize it to the required size. This is a cumbersome and time-consuming process for most users. With the Image Cutout Component, you can add functionality to crop and resize images to your application, so your users can focus on their task: selecting the area of interest. You tell the component what the desired size is, and the component makes sure the area the user selects has the correct aspect ratio. When the user indicates he has finished selecting the area, the component will crop and resize the image.
Fiji is an image processing package. It can be described as a distribution of ImageJ together with Java, Java 3D, and a lot of plugins organized into a coherent menu structure. Fiji compares to ImageJ as Ubuntu compares to Linux. The main focus of Fiji is to assist research in life sciences. For users, Fiji is easy to install and has an automatic update function, bundles a lot of plugins and offers comprehensive documentation. Developers may access the source code of all internals, libraries, and plugins, which eases the development and scripting of plugins.