DocumentCode
2991303
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
fYear
2000
fDate
2000
Firstpage
231
Lastpage
232
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/APEIE.2000.913129
Filename
913129
Link To Document