Title :
A syntactic and contextual edge detector and application of a rewriting rules set to improve detection
Author :
Nerriec, C. ; Diez, A. ; Alvarez, I. ; Cancelas, J.A. ; Gonzalez, R.
Author_Institution :
DIEECS, Oviedo Univ., Spain
Abstract :
This paper presents an image segmentation method which may be applied to various tasks as natural segmentation of monochromatic, colored and even three dimensional images. This algorithm is based on syntactic recognition. The particular novelty of this algorithm lies in the use of an efficient grammar to find edge models with an unknown a priori context. In order to improve and eventually to correct the detection, a set of rules is applied on the edges image. Experimental results are shown
Keywords :
edge detection; image segmentation; rewriting systems; 3D images; colored images; contextual edge detector; edges image; efficient grammar; image segmentation; monochromatic images; rewriting rules set; syntactic edge detector; syntactic recognition; Computer vision; Context modeling; Data analysis; Data mining; Detectors; Image analysis; Image edge detection; Image segmentation; Layout; Pixel;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.397925
