DocumentCode
327740
Title
Stroke detection of brush strokes in portrait miniatures using a semi-parametric and a model based approach
Author
Melzer, Thomas ; Kammerer, Paul ; Zolda, Ernestine
Author_Institution
Pattern Recognition & Image Process. Group, Vienna Univ. of Technol., Austria
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
474
Abstract
The arrangement of brush strokes is an important criterion in classifying portrait miniatures. In order to detect single brush strokes we used both a model based and a semi-parametric, neural network approach. The performance of both operators is evaluated and compared experimentally
Keywords
art; edge detection; feedforward neural nets; image classification; image segmentation; multilayer perceptrons; brush strokes; model based approach; neural network approach; portrait miniatures; semi-parametric approach; stroke detection; Art; Assembly; Brightness; Detectors; Humans; Image edge detection; Image segmentation; Interpolation; Pattern recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711184
Filename
711184
Link To Document