Title
Fuzzy colour distance applied to region growing in image processing
Abstract
In this work, a new approach to region growing problem is presented. The region growing procedure is modified in order to apply a fuzzy knowledge based system to evaluate the distance between a pixel and the region. This fuzzy colour distance is based on a set of rules that evaluate the three distance components (R, G, B) jointly. The results presented show a improvement with the traditional crisp distance.
Year
Venue
Keywords
1999
EUSFLAT-ESTYLF Joint Conf.
image processing,fuzzy distance,knowledge based systems.,knowledge based system,region growing
Field
DocType
Citations 
Computer vision,Feature detection (computer vision),Computer science,Fuzzy logic,Knowledge-based systems,Image processing,Region growing,Pixel,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
R. Soria100.34
Araceli Sanchís29710.12
José Manuel Molina393.90