DocumentCode
3073499
Title
Construction of a polygonal model using the Fisher-ratio criterion
Author
van der Heijden, G.W.A.M.
Author_Institution
DLO-Centre for Plant Breeding & Reproduction Res., Wageningen, Netherlands
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
210
Abstract
A method is described to construct a polygonal model for a family of objects, consisting of various classes. The model optimally discriminates between classes on the shape of the contour. The method assumes some characteristic points (landmarks) on the contour are available for comparing corresponding curves over all objects. Relating a feature (angle of directional change) to each point on the curve makes it possible to select new characteristic points using the ratio of variation between and within classes. Two approaches are proposed for successively selecting the characteristic points, a recursive and a multivariate one. The method is the first automatic polygonization method which takes into account information of multiple objects. It is not optimized for a single object, but for discrimination between classes of similar objects with local shape differences
Keywords
iterative methods; Fisher-ratio criterion; angle of directional change; automatic polygonization method; characteristic points; landmarks; local shape differences; multivariate method; polygonal model; recursive method; Data mining; Data visualization; Image analysis; Joining processes; Noise measurement; Pattern recognition; Physics; Shape measurement; Time series analysis; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6265-4
Type
conf
DOI
10.1109/ICPR.1994.576259
Filename
576259
Link To Document