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ImageClass

version 1.0 (165 KB) by David Legland
Image class for image processing and analysis of images up to 5D (X,Y,Z,C,T), taking into account some metadata.

3 Downloads

Updated 15 Jan 2020

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This package consists in the Image class, that encapsulates a (possibly multidimensional) data array together with various meta-data used to interpret the data (spatial calibration, look-up table, grayscale extent...), and wraps several functions from the Image Processing Toolbox (which is therefore required).

The main features of the Image class are:
* Manages multi-dimensionnal images up to five dimensions, corresponding to the X, Y, Z, Channels, and time.
* Images are asociated to a type that indicates how the content should be interpreted: "color", "intensity", "binary", "label"...
* The spatial calibration is stored within the class, making it possible to extract some information in "real world units" rather than in "pixels"
* Multi-channel images store the name of the channels, that can be taken into account to automatically annotate some graphs.
* Several image processing methods from the Image Processing Toolbox are overloaded, by taking into account image type and/or meta-data, and automatically inferring the type of the resulting image.
* Provides some facilities to read 3D images from various formats (Tif, MetaImage...).

The project is hosted on GitHub (https://github.com/mattools/matlab-image-class). A detailed user manual is available (https://github.com/mattools/matlab-image-class/releases/download/v1.0/ImageClass-Manual.pdf).

This Image class is at the basis of the "ImageM" application (https://fr.mathworks.com/matlabcentral/fileexchange/45847-image_m)

Cite As

David Legland (2020). ImageClass (https://www.mathworks.com/matlabcentral/fileexchange/73926-imageclass), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

David Legland

Hi Nicolas,
do you mean user manual? I used LyX, which is (roughly) a GUI for LaTeX. I could not automate the incoporation of header lines however. Figures were generated after running demo scripts.

Nicolas Douillet

Hi David, which tool did you used to generate your documentation. Thanks.

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

@Image

@Image/private