Hello I am applying as a GSoC student for scikit-image this year. Last year I was a GSoC student for SimpleCV. To start contributing I wanted to implement Blob Detection ( DOG and LOG initially ). I wanted to have some guidelines as to where to put the code and how to structure it.Is there any piece of code lying around in scikit-image which I can use as a template for Blob Detection ? I would put the new code inside a new .py file inside features. I think it would be a good idea to keep the prototypes identical for all blob detection algorithms. My first intuition is to return a class ( or a dictionary ) with some attributes set. Some blob detection algorithms may compute the area of the blobs as well while some might not. Or I can just return the (x,y) coordinates. Please point out if I am mistaken somewhere. Thanks Vighnesh