Low-contrast images segmentation based on the Fourier spectrum approximation

Abstract

In the most analysis and interpretation problems, the segmentation procedure is the key one: it allows to separate an image into parts, which are informatively interpreted and correspond to different objects in the image analyzed. It is shown that approximating the Fourier transform spectrum module of the image allows to approximately increase the contrast by 3.5 times. The results of this research show an acceptability of the suggested method for segmentation of low-contrast images.