This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Texture Features for Browsing and Retrieval of Image Data
August 1996 (vol. 18 no. 8)
pp. 837-842

Abstract—Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus of this paper is on the image processing aspects and in particular using texture information for browsing and retrieval of large image data. We propose the use of Gabor wavelet features for texture analysis and provide a comprehensive experimental evaluation. Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. An application to browsing large air photos is illustrated.

[1] A.C. Bovik,M. Clark,, and W.S. Geisler,“Multichannel texture analysis using localized spatial filters,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, pp. 55-73, 1990.
[2] P. Brodatz, Textures: A Photographic Album for Artists&Designers.New York: Dover, 1966.
[3] T. Chang and C.-C.J. Kuo, "Texture Analysis and Classification With Tree-Structured Wavelet Transform," IEEE Trans. Image Processing, vol. 2, no. 4, pp. 429-441, Oct. 1993.
[4] J.G. Daugman, “Complete Discrete 2D Gabor Transforms by Neural Networks for Image Analysis and Compression,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, no. 7, 1988.
[5] J.G. Daugman,“High confidence visual recognition of persons by a test of statistical independence,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1,148-1,161, Nov. 1993.
[6] I. Daubechies,“The wavelet transform, time-frequency localization, and signal analysis,” IEEE Trans. Information Theory, vol. 36, pp. 961-1,005, 1990.
[7] G.M. Haley and B.S. Manjunath, "Rotation Invariant Texture Classification Using Modified Gabor Filters," Proc. IEEE ICIP95, pp. 262-265, 1995.
[8] M. Lades, J.C. Vorbruggen, J. Buhmann, J. Lange, C. von der Malsburg, R.P. Wurtz, and W. Konen, “Distortion Invariant Object Recognition in the Dynamic Link Architecture,” IEEE Trans. Computers, vol. 42, no. 3, pp. 300-311, Mar. 1993.
[9] F. Liu and R.W. Picard, "Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval," MIT Media Lab Technical Report no. 320, Mar. 1995.
[10] W.Y. Ma and B.S. Manjunath, "A Comparison of Wavelet Features for Texture Annotation," Proc. IEEE Int'l Conf. Image Processing '95, vol. II, pp. 256-259,Washington D.C., Oct. 1995.
[11] W.Y. Ma and B.S. Manjunath, "Image Indexing Using a Texture Dictionary," Proc. SPIE, vol. 2,606, pp. 288-296,Philadelphia, Oct. 1995.
[12] W.Y. Ma and B.S. Manjunath, “Texture Features and Learning Similarity,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 425-430, 1996.
[13] B.S. Manjunath, R. Chellappa, and C. von der Malsburg, “A Feature-Based Approach to Face Recognition,” Proc. IEEE Computer Soc. Conf. Computer Vision and Pattern Recognition, pp. 373-378, 1992.
[14] D.S. Manjunath and R. Chellappa, “A Unified Approach to Boundary Perception: Edges, Textures and Illusory Contours,” IEEE Trans. Neural Networks, vol. 4, pp. 96-107, 1993.
[15] B.S. Manjunath, C. Shekhar, and R. Chellappa, "A New Approach to Image Feature Detection with Applications," Pattern Recognition, Apr. 1996.
[16] B.S. Manjunath and W.Y. Ma, "Texture Features for Browsing and Retrieval of Image Data," CIPR TR 95-06, July 1995 (available on www at http://vivaldi.ece.ucsb.edu).
[17] J. Mao and A.K. Jain, “Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models,” Pattern Recognition, vol. 25, no. 2, 1992.
[18] W. Niblack et al., "The QBIC Project," Proc. SPIE, vol. 1,908, pp. 173-181, Feb. 1993.
[19] A. Pentland, R.W. Picard, and S. Sclaroff, "Photobook: Tools for Content Based Manipulation of Image Databases," Proc. ICASSP '93, vol. V, pp. 161-164,Minneapolis, Apr. 1993.
[20] R.W. Picard,T. Kabir,, and F. Liu,“Real-time recognition with the entire brodatz texture database,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 638-639,New York, June 1993.
[21] The Alexandria Digital Library Project, http://alexandria.sdc.ucsb.edu.

Index Terms:
Digital libraries, image database, content-based image retrieval, texture analysis, Gabor wavelets.
Citation:
B.s. Manjunath, W.y. Ma, "Texture Features for Browsing and Retrieval of Image Data," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 837-842, Aug. 1996, doi:10.1109/34.531803
Usage of this product signifies your acceptance of the Terms of Use.