Title :
Low-contrast images segmentation based on the Fourier spectrum approximation
Author :
Martyshevsky, Yu V. ; Sharopin, Yu B.
Author_Institution :
Tomsk State Univ. of Control Syst. & Radio Electron., Russia
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
Keywords :
discrete Fourier transforms; image segmentation; Fourier spectrum approximation; discrete Fourier transform; image brightness; image segmentation; low-contrast images; thresholding; Brightness; Discrete Fourier transforms; Fourier transforms; Frequency; Image analysis; Image processing; Image segmentation; Medical control systems; Pixel; X-ray imaging;
Conference_Titel :
Electronic Instrument Engineering Proceedings, 2000. APEIE-2000. Volume 1. 2000 5th International Conference on Actual Problems of
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-5903-8
DOI :
10.1109/APEIE.2000.913129
