Sometimes, the corners may be needed to be found with maximum accuracy. With the corner_subpix() function from the scikit-image's feature module, the corners detected are refined with sub-pixel accuracy. The following code demonstrates how to use this function. The Louvre Pyramid in Paris is used as the input image. As usual, first the Harris Corners are computed with corner_peaks(), then the sub-pixel positions of corners are computed with the corner_subpix() function, which uses a statistical test to decide whether to accept/reject a corner point computed earlier with the corner_peaks() function. We need to define the size of neighborhood (window) the function will use to search for corners:
image = imread('../images/pyramids2.jpg') ...
