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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