1. An image processing method comprising the steps of: extracting a plurality of candidate images similar to a reference image from among a plurality of images by utilizing granulometry; transforming the plurality of candidate images on the basis of the reference image; calculating mutual information shared by each of the transformed candidate images and the reference image; and selecting a candidate image, which shares the largest amount of mutual information with the reference image, from among the plurality of candidate images.