Hi,
I am undertaking a project that will automatically count values of coins from an input image. So far I have segmented the coins using some pre-processing with edge detection and using the Hough-Transform.
My question is how do I proceed from here? I need to do some template matching on the segmented images based on some previously stored features. How can I go about doing this.
I have also read about something called K-Nearest Neighbours and I feel it is something I should be using. But I am not too sure how to go about using it.
Research articles I have followed:
