A regularized simultaneous autoregressive model for texture classification

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 4, Issue , 2003, Pages

  Wang, Yao Wei ^a   Wang, Yan Fei ^b   Gao, Wen ^a   Xue, Yong ^b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; TEXTURES;

TEXTURE CLASSIFICATION;

IMAGE PROCESSING;

EID: 5444239417     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. J Hadmard, Lectures on the Cauchy Problems in Linear Partial Differential Equations, Yale University Press New Haven, 1923.
2. R M Haralick, Statistical and structural approaches to texture, Proc. IEEE 67, pp.786-840, 1979.
3. F Liu and R W Picard, Periodicity, directionality and randomness: World features for image modeling and retrieval, MIT Media Lab Technical Report, No. 320.
4. B S Manjunath and W Y Ma, Texture features for browsing and retrieval of image data, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, pp.837-842, Aug 1996.
5. J Mao and A K Jain, Texture classification and segmentation using multi-resolution simultaneous autoregressive models, Pattern Recognition, Vol. 25, No, 2, pp.173-188, 1992.
6. R W Picard, T Kabir and F Liu, Real-time recognition with the entire Brodatz texture database, Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp.638-639, New York, June 1993.
7. A N Tikhonov and V Y Arsenin, Solutions of Ill-posed Problems, Winston/Wiley, 1977.
8. V N Vapnik, Inductive principles of statistics and learning theory, Springer-Verlag New York, 2000.
9. H Wechsler, Texture analysis-a survey, Signal Process. 2, pp.271-282, 1980.