Title: Pixels classification in noisy digital pictures using fuzzy arithmetic
Authors: Gallo, Giovanni
Spinello, Salvatore
Citation: Journal of WSCG. 1998, vol. 6, no. 1-3, p. 111-116.
Issue Date: 1998
Publisher: Václav Skala - UNION Agency
Document type: článek
URI: http://hdl.handle.net/11025/15841
ISSN: 1213-6972 (print)
1213-6980 (CD-ROM)
1213-6964 (online)
Keywords: fuzzy čísla;digitální obrázky
Keywords in different language: fuzzy numbers;digital pictures
Abstract in different language: This paper presents a new technique to extract, in noisy digital pictures, regions whose pixels fall, with a degree of uncetainty, in a given range of gray levels. The proposed method uses fuzzy numbers to describe in a compact way, at the early vision stage, the relevant information of the picture together with the uncertainty due to noise. This fuzzy model of the original picture is hence interrogated with a Marching-Cube-like algorithm to obtain, for a specified level of presumption, the pixels in a prescribed range. The quality of the obtained results is comparable with those obtained with more traditional, but less efficient, non-linear smoothing techniques.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 6, number 1-3 (1998)

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