Using fractal features of digital images for the detection of surface defects

Abstract

The self similarity of a digital image is described. New image features that characterize the internal distribution of self similarity and the image segments with the highest similarity are proposed. An algorithm for generating fractal features of images (characteristic image segments and self-similarity distribution) is described. The results of investigating the possibility of using the self-similarity distribution in image classification problems are presented.