docs: improve glossary

[EscapedGibbon]

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[stropitek]

https://29-feedback-on-glossary.image-js-docs.pages.dev/docs/Glossary

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[stropitek]

I'm wondering if we should remove the definition of "intensity", or maybe give it a narrow definition which fits in the context of image-js.

Because the definition is actually not very well defined for digital image processing. It's clear what it is for grey images but ambiguous, but not for multi-channel images. Can you review where this term is used in the library (parameters, method names etc...) and report it in an issue? We can leave it like it is for this PR.

especially in color images, where each channel represents a primary color or a specific property of the image

I think it's more a specific property of each pixel than of the image.

Mask in imageJS is a class that represents binary data from the image...

I would say masks are a special "class" of 1-bit depth, single channel images, rather than the "grid of binary data" definition.

A ROI (Region of Interest) map, also known as segmentation map, is a binary image that highlights regions of interest within a larger image

Do we really need this definition? Do we reference ROI maps anywhere in the public methods of image-js?

[EscapedGibbon]

I'm wondering if we should remove the definition of "intensity", or maybe give it a narrow definition which fits in the context of image-js.

Because the definition is actually not very well defined for digital image processing. It's clear what it is for grey images but ambiguous, but not for multi-channel images. Can you review where this term is used in the library (parameters, method names etc...) and report it in an issue? We can leave it like it is for this PR.

especially in color images, where each channel represents a primary color or a specific property of the image

I think it's more a specific property of each pixel than of the image.

Mask in imageJS is a class that represents binary data from the image...

I would say masks are a special "class" of 1-bit depth, single channel images, rather than the "grid of binary data" definition.

A ROI (Region of Interest) map, also known as segmentation map, is a binary image that highlights regions of interest within a larger image

Do we really need this definition? Do we reference ROI maps anywhere in the public methods of image-js?

The intensity is used as a term in centroidIntensity and watershed. I believe they define intensity the same way it is defined in glossary.

We also have ROI as a separate class which comes from Mask and can create a ROI map. I am not sure yet how ROI will be documented but it will certainly be important to understand these terms outside of ROI documentation.