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Imagej combine images11/27/2022 Finally, CIP provides basic visualisation and measure tools that are needed in every workflow. The function selected are also well adopted by the community to facilitate exchange and understanding. An essential set of tools: CIP gathers the 10% of tools that will get the job done, allowing one to go straight to the tool he needs.Finally, CIP functions never modifies functions inputs so you always know what is happening to your data. It Also uses only 3 main data types, Image, Region Table, to simplify data representation. For instance CIP requires no class and package import. Simplicity of use: Learning programming is demanding and CIP goal is to hide unecessary difficulty when one starts scripting.For the same reason 2D and 3D images can be processed with the same functions. In order to allow an intuitive learning, function parameters can be named or made optionnal while similar functions will have similar signatures. Discoverability of its functionnalities: CIP provides a complete user documentation that explain function usage, details their parameters and provides illustration.For instance, it can process seamlessly all usual imageJ image type (ImagePlus, Dataset, ImgPlus, Img) wihtout requiring any conversion. Integration to ImageJ ecosystem: CIP can be easily used in combination other ImageJ1 and ImageJ2 plugins.CIP also has a specific focus on user experience which should appear clearly in the libraries main features: Its principal goal is to facilitate image analysis workflow construction as well as to provide an accessible entry point to learn the programming of such workflow. It hides ImageJ complexity while making it easy to combine ImageJ packages for more specific tasks.Ĭlassic Image Processing (CIP) is an image procesing toolbox which provides functions for scripting in ImageJ. Figure 1: CIP is a simple toolbox to learn and prototype image analysis workflow in ImageJ.
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