Title :
Fuzzy mathematical morphology to analyse astronomical images
Author :
Maccarone, M.C. ; Tripiciano, M. ; Di Gesù, V.
Author_Institution :
Istituto Fisica Cosmica ed Applicazioni dell´´Inf., CNR, Palermo, Italy
fDate :
30 Aug-3 Sep 1992
Abstract :
Traditionally, astronomical data are represented by images. X- and gamma-ray telescopes have been designed in order to produce images in these ranges of energy. Data are characterized by low signal embedded in structured background. The paper introduces a new approach, based on fuzzy-morphology, to restore and retrieve structural properties of such images. Experimental results are shown on astronomical images in order to evaluate the methodologies introduced
Keywords :
astronomical techniques; fuzzy set theory; image processing; mathematical morphology; X-ray telescopes; astronomical images; fuzzy mathematical morphology; fuzzy set theory; gamma-ray telescopes; image processing; image restoration; Cleaning; Fuzzy logic; Fuzzy set theory; Image analysis; Image edge detection; Image restoration; Morphology; Optical design; Shape; Telescopes;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201972
