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...It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++. ...

It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but instead of gray, that color). In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha (alpha = 0). You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image...

WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies.

NOTE: The source repository for this project has been moved to a NEW LOCATION: ************************************************************************************ https://github.com/imagingbook/imagingbook-public ************************************************************************************

This is an Image Processing toolkit written in Java. The source code is intended to help you understand processes such as Color Inversion, Edge Detection, Fourier Transform, Morphological process, Laplacian Sharpening, Gaussian Noise Adding, and hist