Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.

For Authors
For Readers
Article Information  
Unsupervised Texture Segmentation: Comparison of Texture Features

Keywords: Texture Segmentation, DFT-Based Texture Features, Gabor Wavelets, K-Means Clustering.

Mehran University Research Journal of Engineering & Technology

Volume 29 ,  Issue 4


1. Karu K., Anil K. J. and Ruud M. B., "Is there any texture in the image?", Pattern Recognition, vol. 29, no. 9, pp. 1437-1446, 1996
2. Olowoyeye A., Tuceryan M., Fang S., “Medical Volume Segmentation using Bank of Gabor Filters”, SAC’09 March 8-12, 2009, Honolulu, Hawaii, U.S.A.
3. Gadelmawla E. S., Eladawi A. E., Abouelatta O. B., and Elewa I. M., Application of computer vision for the prediction of cutting conditions in milling operations, Proc. IMechE Vol. 223 Part B: J. Engineering Manufacture, 2009
4. Kartikeyan B., Sarkar A., Majumder K. L., "A segmentation approach to classification of remote sensing imagery", Int. J. Remote Sensing, vol. 19, no. 9, 1695-1709, 1998
5. Gong Y., Shu N., Li J., Lin L., Li X., "A New Conception of Image Texture and Remote Sensing Image Segmentation Based on Markov Random Field", Geo-spatial Information Science 13(1):16-23, 2010
6. Chen C. H., Pau L. F., Wang P. S. P. (eds.), Chapter 2: Textural Analysis, The handbook of Pattern Recognition and Computer Vision (2nd Edition), World Scientific Publishing Co., 1998
7. Schaale M., Keller I., and Fischer J., "Land cover texture information extraction from remote sensing image data", proc. ASPRS-RTI annual conference, Washington DC, 2000
8. Stamos I. and Allen P. K., "Geometry of Texture Recovery of Scenes of Large Scale", Computer Vision and Image Understanding, vol. 88: pp. 94-118, 2002
9. Elber G., "Gemoetric Texture Modelling", IEEE Computer Graphics and Applications vol. 25, no. 4, pp. 66-76, 2005
10. Varma M., Zisserman A., "Texture Classification: Are Filter Banks Necessary?", Conf. Computer Vision and Pattern Recognition vol. 2, pp. 691-698, 2003
11. Ursani A. A., Kpalma K., Ronsin J., "Texture features based on Fourier transform and Gabor filters: an empirical comparison", Intl. conf. Machine Vision (ICMV), pp. 67-72, Dec. 28-29, 2007
12. Ursani A. A., Kpalma K., Ronsin J., "Improved texture description with features based on Fourier transform", Wireless Networks, Information Processing and Systems, vol. 20, pp. 19-28, Springer Verlag, 2008
13. Ursani A. A., Kpalma K., Ronsin J., "Texture features based on local Fourier histogram: self-compensation against rotation", Journal of Electronic Imaging vol. 17, no. 3, pp. 1-3, 2008
14. Lee T. S., "Image representation using 2D Gabor wavelets", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 10, 1996
15. Manjunath B. S. and Ma W. Y., "Texture Features for Browsing and Retrieval of Image data", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 837-842, 1996
16. Zhang D., Wong A., Indrawan M., Lu G., "Content-based Image Retrieval Using Gabor Texture Features", IEEE Intern. Symposium on Multimedia Information Processing, 2000
17. Zhou F., Feng F. J., Shi Q. Y., "Texture Feature Based on Local Fourier Transform", IEEE Trans. Image Processing, vol. 2: pp. 610-613, 2001
18. Cutter G. R. Jr., Rzhanov Y., Mayer L. A., "Automated segmentation of seafloor bathymetry from multibeam echosounder data using local Fourier histogram texture features", Journal of Experimental Marine Biology and Ecology, pp. 355-370, 2003
19. Lu J., Yuasa T., "A New Algorithm for 2D Convolution on Mesh-connected SIMD Computers", Trans. Information Processing Society of Japan, vol. 37, no. 12, pp. 2390-2397, 1996
20. Hoon M. J. L., Imoto S., Nolan J., and Miyano S., "Open Source Clustering Software", Bioinformatics, vol. 20, no. 9, pp. 1453-1454, 2004.
21. Martin D. and Fowlkes C. and Tal D. and Malik J., "A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics", Proc. 8th Int'l Conf. Computer Vision, vol. 2, pp. 416-423, 2001