Invariant Feature Histograms for Texture Classification

Proceedings of the Joint Conference on Information Sciences

Volumn 4, Issue , 1998, Pages 230-233

  Siggelkow, S ^a   Burkhardt, H ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; FUZZY SETS; IMAGE PROCESSING; INVARIANCE; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA;

EUCLIDEAN MOTION; TEXTURE CLASSIFICATION;

TEXTURES;

EID: 1642374046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. R. M. Haralick and L. G. Shapiro. Computer and Robot vision, volume I. Addison-Wesley, 1992.
2. X. Zhi-Yan and M. Brady. Texture segmentation using local energy in wavelet scale space. In Proceedings of ECCV96, volume II, pages 304-313. Springer, 1996.
3. W. Li, V. Hease-Coat, and J. Ronsin. Robust morphological features for texture classification. In Proceedings of ICIP96, volume III, pages 173-176, 1996.
4. H. Schulz-Mirbach. Invariant features for gray scale image. In 17. DAGM - Symposium "Mustererkennung", Reihe Informatik aktuell, pages 1-14. Springer, 1995.
5. H. Schulz-Mirbach. Anwendung von Invarianzprinzipien zur Merkmalgewinnung in der Mustererkennung. PhD thesis, Hamburg-Harburg University of Technology, February 1995.
6. S. Siggelkow and H. Burkhardt. Local invariant feature histograms for image retrieval. Technical report, Institut für Informatik, Albert-Ludwigs-Universität Freiburg, 1998.