"Chain" filters in filterplot (?)

[SarthakJariwala]

Allow chaining different filters together to give a final filtered image

For example, Raw Image ---> Gaussian Filter ---> Percentile Filter ---> Visualize the final filtered image

Currently, in filterplot() only individual filters are supported.

Potential challenges

While the filters that need to be applied can be passed as a list or something, the kwargs for the different filters need to be handled correctly. Can't just dump all the kwargs into the individual functions...

Something that could work (?)

Create a new chain_kw or something and have the individual filter parameters be supplied in there.
Maybe something like this (?) :

isns.filterplot(img, ["gaussian", "percentile"], chain_kw=[{"sigma" : 2}, {"percentile" : 10, "size" : 10}] )

[SarthakJariwala]

Thinking more about it - should this be part of the filterplot() or its own separate function....? If its a separate function, then it could be made a "figure-level" function where a split parameter is implemented to visualize all the intermediary filter steps towards the eventual filtered image.
For eg, doing

isns.fcplot(img, ["gaussian", "percentile"], 
                 chain_kw=[{"sigma" : 2}, {"percentile" : 10, "size" : 10}], 
                 chain=True)

will retrun 'one' image img after applying "gaussian" and "percentile" filters in that order (one after the other like a chain).
But doing

isns.fcplot(img, ["gaussian", "percentile"], 
                 chain_kw=[{"sigma" : 2}, {"percentile" : 10, "size" : 10}], 
                 chain=True, split=True)

will return 'all' the intermediary filtered images. So, here it would return - Gaussian filtered image and Gaussian+Percentile filtered image.

Going further with this idea, if chain=False, the filters specified will be applied in isolation to the supplied image. For eg,

isns.fcplot(img, ["gaussian", "percentile"], 
                 chain_kw=[{"sigma" : 2}, {"percentile" : 10, "size" : 10}], 
                 chain=False)

will return img after gaussian filter and img after percentile filter, both applied in isolation to the img (and not in chain)

NOTE: function name and parameters are not final....

Need to think more if FilterGrid (#30) can be adapted to do this or just better to create another function for this use case and let filterplot and FilterGrid handle their own use cases...?

[SarthakJariwala]

This is going to be added as isns.nfilterplot() in v0.5

isns.nfilterplot(data, filt, filt_kws=None, chain=True, split=False)