ImageClass
This package consists in the Image class, that encapsulates a multidimensional data array together with various meta-data used to interpret the data (e.g. spatial calibration).
The Image class can manage 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"...
Nearly 200 methods are provided for quickly applying image processing operators on image instances, by keeping relevant meta-data such as spatial calibration, and automatically inferring the type of the result images. Utility methods for facilitating the visualization of images area also provided.
Cite As
David Legland (2024). ImageClass (https://github.com/mattools/matlab-image-class/releases/tag/v1.1.2), GitHub. Retrieved .
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Platform Compatibility
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
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Version | Published | Release Notes | |
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1.1.2 | See release notes for this release on GitHub: https://github.com/mattools/matlab-image-class/releases/tag/v1.1.2 |
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1.1.1 | See release notes for this release on GitHub: https://github.com/mattools/matlab-image-class/releases/tag/v1.1.1 |
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1.1 | See release notes for this release on GitHub: https://github.com/mattools/matlab-image-class/releases/tag/v1.1 |
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1.0 |
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