Wavelet-based texture segmentation of remotely sensed images

Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001

Volumn , Issue , 2001, Pages 69-74

  Acharyya, Mausumi ^a   Kundu, Malay K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY BANDS; IMAGE ANALYSIS; TEXTURES; WAVELET DECOMPOSITION;

COMPUTATIONALLY EFFICIENT; INTERMEDIATE FREQUENCY BANDS; M-BAND WAVELET PACKET; MULTI RESOLUTION DECOMPOSITION; REMOTELY SENSED IMAGES; SEGMENTATION ACCURACY; STATISTICAL PARAMETERS; TEXTURE FEATURE EXTRACTION;

IMAGE SEGMENTATION;

EID: 0142049260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2001.956987     Document Type: Conference Paper

References (9)

1. O. Alkin and H. Caglar. Design of efficient m-band coders with linear phase and perfect reconstruction properties. IEEE Trans. Signal Processing, 43(7):1579-1590, 1995.
2. S. Bandyopadhyay and S. K. Pal. Pixel classification using variable string genetic algorithms with chromosome differentiation. IEEE Trans, on Geoscience and Remote Sensing, (to appear).
3. I. Daubechies. Ten Lectures on Wavelets. Soc. Ind. Applied Math, Philadelphia, 1992.
4. A. K. Jain and F. Farrokhnia. Unsupervised texture segmentation using gabor filters. Pattern Recognition, 24(12): 1167-1186, 1991.
5. S. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Patt. Anal. Mach. Intell, ll(7):674-693, 1989.
6. S. K. Pal, A. Ghosh, and B. U. Shankar. Segmentation with remotely sensed images with fuzzy thresholding, and quantitative evaluation. Int. Journal of Remote Sensing, 21(11):2269-2300, 2000.
7. P. Steffen, P. N. Heller, R. A. Gopinath, and C. S. Burrus. Theory of regular m-band wavelet bases. IEEE Trans. Signal Processing, 41(12):3497-3510, 1993.
8. J. T. Tou and R. C. Gonzales. Pattern Recognition Principles. Adision-Wesley, Reading, 1974.
9. M. Tuceryan and A. K. Jain. Texture analysis. In Handbook of Pattern Recognition and Computer vision, pages 235-276. World Scientific, 1993.