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hey guys youre watching Python tutorial videos on my youtube channel Python for microscopy in the previous tutorial I described what features are per machine learning especially for supervised machine learning and today lets actually write some code to generate these features in Python and just a quick reminder again when we mean by features especially for image processing in this context what I mean is applying a bunch of filters that describes the data that describes your images so this is the example Ive used in the previous tutorial so the features that describe the regions of interest in this case are primarily the pixel value right in this case the image pixel value itself is a good feature but in addition to that there could be other features like edge detection and other filters that can enhance the information that Im providing the machine learning algorithm so lets go ahead and start coding and Ill talk about how to apply these filters again Ive done this a while ago