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Entropy of an image

The entropy of an image can be computed generalizing classical 1D methods to the 2D case. Obviously it must take into account “spatial information”, not just gray levels. Classical approaches used in ...
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Significance test for an image centroid

I might be way off depending on what you are actually trying to do. Maybe you can use some sort of a bootstrap method. It is quite hard to tell how exactly to do this unless we know your sampling ...
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Significance test for an image centroid

As you do not have a well-defined null hypothesis $H_0$ (you do not know the distribution under $H_0$), there is no way to compute the probability of the observation under $H_0$. Under the assumption, ...
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Where can I find pre-trained fully convolutional neural networks?

Some examples: image models from huggingface that can be used as image encoders, like clip-ViT from sentence-transformers in Pytorch/Tensorflow in Tensorflow/PyTorch you can manipulate CNN models by ...

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