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Convolutional Neural Nets versus kernel-based morphology transformations. What is better?


Convolutional Neural Nets versus kernel-based morphology transformations. What is better?


If somebody has experience or just tried to compare for himself, can you list the differences? Typical applications, limitations, different output ...

Convolutional Neural Nets versus kernel-based morphology transformations. What is better?

If somebody has experience or just tried to compare for himself, can you list the differences? Typical applications, limitations, different output ...

Programmatically, they are the same so I wonder, are there any differences besides the names used?