Fuzzy contour detection based on a good approximation of the argument of the gradient vector

Author

Garcia-Barroso, C. ; Sobrevilla, P. ; Pedra, ALarre ; Montseny, E.

fYear

2002

fDate

2002

Firstpage

255

Lastpage

260

Abstract

This paper presents an edge detection algorithm whose output provides, for each pixel, the degree to which it looks like an edge pixel. The algorithm design is based on the analysis of gradient vectors´ magnitudes and directions within a local neighborhood of the pixel being considered. The use of fuzzy techniques makes it possible for the algorithm to be parameter-independent for adapting it to the image to be analyzed. Moreover, since it is based on a local analysis, it can be processed in parallel, allowing real-time execution.

Keywords

adaptive signal processing; approximation theory; edge detection; fuzzy logic; gradient methods; parallel algorithms; real-time systems; vectors; adaptable parameter-independent algorithm; edge detection algorithm; edge pixel resemblance degree; fuzzy contour detection; gradient vector argument approximation; gradient vector direction; gradient vector magnitude; image analysis; local analysis; parallel processing; pixel local neighborhood; real-time execution; Acoustic noise; Algorithm design and analysis; Computer vision; Data mining; Detectors; Humans; Image analysis; Image edge detection; Lighting; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American

Print_ISBN

0-7803-7461-4

Type

conf

DOI

10.1109/NAFIPS.2002.1018065

Filename

1018065