Adaptive color segmentation - A comparison of neural and statistical methods
Littmann E, Ritter H (1997)
IEEE Transactions on Neural Networks 8(1): 175-185.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Littmann, Enno;
Ritter, HelgeUniBi 
Einrichtung
Abstract / Bemerkung
With the availability of more powerful computers it is nowadays possible to perform pixel based operations on real camera images even in the full color space. New adaptive classification tools like neural networks make it possible to develop special-purpose object detectors that can segment arbitrary objects in real images with a complex distribution in the feature space after training with one or several previously labeled image(s). The paper focuses on a detailed comparison of a neural approach based on local linear maps (LLM's) to a classifier based on normal distributions. The proposed adaptive segmentation method uses local color information to estimate the membership probability in the object, respectively, background class. The method is applied to the recognition and localization of human hands in color camera images of complex laboratory scenes.
Stichworte
hand recognition;
color segmentation;
adaptive classification;
linear maps;
local;
clustering
Erscheinungsjahr
1997
Zeitschriftentitel
IEEE Transactions on Neural Networks
Band
8
Ausgabe
1
Seite(n)
175-185
ISSN
1045-9227
Page URI
https://pub.uni-bielefeld.de/record/1628322
Zitieren
Littmann E, Ritter H. Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks. 1997;8(1):175-185.
Littmann, E., & Ritter, H. (1997). Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks, 8(1), 175-185. https://doi.org/10.1109/72.554203
Littmann, Enno, and Ritter, Helge. 1997. “Adaptive color segmentation - A comparison of neural and statistical methods”. IEEE Transactions on Neural Networks 8 (1): 175-185.
Littmann, E., and Ritter, H. (1997). Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks 8, 175-185.
Littmann, E., & Ritter, H., 1997. Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks, 8(1), p 175-185.
E. Littmann and H. Ritter, “Adaptive color segmentation - A comparison of neural and statistical methods”, IEEE Transactions on Neural Networks, vol. 8, 1997, pp. 175-185.
Littmann, E., Ritter, H.: Adaptive color segmentation - A comparison of neural and statistical methods. IEEE Transactions on Neural Networks. 8, 175-185 (1997).
Littmann, Enno, and Ritter, Helge. “Adaptive color segmentation - A comparison of neural and statistical methods”. IEEE Transactions on Neural Networks 8.1 (1997): 175-185.
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PMID: 25047567
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PMID: 24091390
Antitumor and angiostatic activities of the antimicrobial peptide dermaseptin B2.
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PMID: 23028527
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PMID: 22319380
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PMID: 17936583
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Conforto S, Schmid M, Neri A, D'Alessio T., Comput Methods Programs Biomed 82(1), 2006
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PMID: 16563553
Feature encoding for unsupervised segmentation of color images.
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20 References
Daten bereitgestellt von Europe PubMed Central.
AUTHOR UNKNOWN, 0
Learning and generalization in cascade network architectures.
Littmann E, Ritter H., Neural Comput 8(7), 1996
PMID: 8823945
Littmann E, Ritter H., Neural Comput 8(7), 1996
PMID: 8823945
niemann, Pattern Analysis and Understanding (), 1990
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
Regularization algorithms for learning that are equivalent to multilayer networks.
Poggio T, Girosi F., Science 247(4945), 1990
PMID: 17776454
Poggio T, Girosi F., Science 247(4945), 1990
PMID: 17776454
learning with the self-organizing map
ritter, Artificial Neural Networks 1 (), 1991
ritter, Artificial Neural Networks 1 (), 1991
ritter, Neural Computation and Self-Organizing Maps An Introduction (), 1992
skarbek, Color image segmentation— A survey (), 1994
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
jain, Algorithms for clustering data (), 1988
backpropagation: comments and variations
hanson, Backpropagation Theory Architectures and Applications (), 1995
hanson, Backpropagation Theory Architectures and Applications (), 1995
recognition of 3-d hand orientation from monocular color images by neural semantic networks
kummert, Pattern Recognition and Image Analysis 3(), 1993
kummert, Pattern Recognition and Image Analysis 3(), 1993
kohonen, Self Organization and Associative Memory (), 1982
AUTHOR UNKNOWN, 0
ballard, Computer Vision (), 1982
visual gesture-based robot guidance with a modular neural system
littmann, Advances in Neural Information PRocessing Systems NIPS 8 (), 1996
littmann, Advances in Neural Information PRocessing Systems NIPS 8 (), 1996
wyszecki, Color Science Concepts and Methods Quantitative Data and Formulae (), 1982
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