Hi,<br><br>I am trying to learn Local Binary Pattern with scikit-image and as I have only limited knowledge in numpy and image analysis I find it hard. As a result, I will appreciate a lot if you can provide me some answers as I am sure that they will help me to advance:<br><br>- If I understand correctly the skimage.feature.local_binary_pattern(image, P, R, method=' uniform) will go pixel by pixel (starting from pixel location 1,2) and generate the binary number based on the P and R, am I right?. If so what happens if the R is “out of boundary”?<br>- How do you calculate the histogram and why are there are 18 bins in the example (http://scikit-image.org/docs/dev/auto_examples/plot_local_binary_pattern.html)?<br>- The output is (N, M) array and when I look at it is not clear to me what is the output and how do you generate a histogram from it, can someone you please clarify it.<br><br>I know that these questions are be basic and while I was trying to look for answers I found the information more mathematical and less with applied approach. Therefore, any help, ideas or tips will help.<br><br>Thanks for the patience,<br>G.<br>