Image labeling using a decision tree-based approach

• Autorzy: Bhattacharya P. , Liu X.
• Języki publikacji: EN

Abstrakty

EN

We present an unsupervised, fast, one-scan, image labeling method using a bottom-up decision tree. A graphic format is also proposed to store the geometric information of the output image. The method is suitable for implementation over the Internet.

Słowa kluczowe

EN

class probability tree; decision tree; image labeling

PL

dendryt decyzyjny; etykietowanie obrazu; klasa drzewa probabilistycznego

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2002
• Tom: Vol. 8, no 3
• Strony: 3--10
• Opis fizyczny: Bibliogr. 4 poz.,Rys., wykr.,

Twórcy

autor

Bhattacharya P.

• Department of Computer Science & Engineering University of Nebraska-Lincoln Lincoln, NE 68588-0115, USA

autor

Liu X.

• Department of Computer Science & Engineering University of Nebraska-Lincoln Lincoln, NE 68588-0115, USA

Bibliografia

• [1] L. Breiman, J. H. Friedman, R. H. Olhsen and C. J. Stone, Classification and Regression Trees, Wadsworth Internat. Group, Belmont, CA, 1984.
• [2] S. Gold and A. Rangarajan, A Graduated Assignment Algorithm for Grapli Matching, IEEE Trans, Pattern Anal. Machine Intell, vol. 18. No. 4, pp. 377-388, 1996.
• [3] Y. Gong, Intelligent Image Databases: Toward Adranced Image Retriera! Kluwer Acad. Pub., Boston, MA, 1998.
• [4] G. Kalkanis and G. V. Conroy, Interval Error Estimators in Class Probability Trees, Pattern Recognition Lett.., 17, 705- 712, 1996.