References
[1]. Y. Rui and T. S. Huang, (1999). Image retrieval:
Current
techniques, promising directions and open issues, J.. Vis.
Commun. Image Represent., Vol.10, pp.39–62.
[2]. A. W.M. Smeulders, M. Worring, S. Santini, (2000). A.
Gupta, and R. Jain, Content-based image retrieval at the
end of the early years, IEEE Trans. Pattern Anal. Mach. Intell.,
Vol.22 (12), pp.1349–1380.
[3]. M. Kokare, B. N. Chatterji, P. K. Biswas, (2002). A
survey
on current content based image retrieval methods, IETE J.
Res., Vol.48 (3&4), pp.261–271.
[4]. Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma,
(2007). A survey of content-based image retrieval with
high-level semantics, Elsevier J. Pattern Recognition,
Vol.40, pp.262-282.
[5]. Liu, F., Picard, R.W., (1996). Periodicity,
directionality, and randomness: Wold features for image modeling and
retrieval. IEEE Trans. Pattern Anal. Machine Intell., Vol.18,
pp.722–733.
[6]. J. R. Smith and S. F. Chang, (1996). Automated binary
texture feature sets for image retrieval, Proc. IEEE Int. Conf.
Acoustics, Speech and Signal Processing, Columbia Univ.,
New York, pp.2239–2242.
[7]. A. Ahmadian, A. Mostafa, (2003). An Efficient Texture
Classification Algorithm using Gabor wavelet, 25th Annual
international conf. of the IEEE EMBS, Cancun, Mexico,
pp.930-933.M.
[8]. M. N. Do and M. Vetterli, (2005). “The
contourlet
transform: An efficient directional multi-resolution image
representation,” IEEE Trans. Image Process., Vol. 14, No. 12,
pp. 2091–2106.
[9]. M. Unser, (1993). Texture classification by wavelet
packet signatures, IEEE Trans. Pattern Anal. Mach. Intell.,
Vol.15 (11), pp. 1186-1191.
[10]. B. S. Manjunath and W. Y. Ma, (1996). Texture
Features
for Browsing and Retrieval of Image Data, IEEE Trans. Pattern
Anal. Mach. Intell., Vol.18 (8), pp.837-842.
[11]. M. Kokare, P. K. Biswas, B. N. Chatterji, (2007).
Texture
image retrieval using rotated Wavelet Filters, Elsevier J.
Pattern recognition letters, Vol.28, pp.1240-1249.
[12] M. Kokare, P. K. Biswas, B. N. Chatterji, (2005).
Texture
Image Retrieval Using New Rotated Complex Wavelet
Filters, IEEE Trans. Systems, Man, and Cybernetics, Vol.33 (6),
pp.1168-1178.
[13]. M. Kokare, P. K. Biswas, B. N. Chatterji, (2006).
Rotation-Invariant Texture Image Retrieval Using Rotated
Complex Wavelet Filters, IEEE Trans. Systems, Man, and
Cybernetics, Vol.36 (6), pp.1273-1282.
[14]. L. Birgale, M. Kokare, D. Doye, (2006). Color and
Texture Features for Content Based Image Retrieval,
International Conf. Computer Grafics, Image and
Visualisation, Washington, DC, USA, pp.146 – 149.
[15]. Subrahmanyam, A. B. Gonde and R. P. Maheshwari,
(2009). Color and Texture Features for Image Indexing and
Retrieval, IEEE Int. Advance Computing Conf., Patial, India,
pp.1411-1416.
[16]. Manesh Kokare, P.K. Biswas, B.N. Chatterji, (2004).
Cosine-modulated wavelet based texture features for
content-based image retrieval, Pattern Recognition
Letters, Vol.25, pp. 391–398.
[17] R.A. Gopinath, and C.S. Burrus, (1992). Wavelets and
filter banks, in: C.K. Chui (Ed.), wavelets: A tutorial in theory
and applications, Academic Press, San Diego, CA.,
pp.603-654.
[18]. Hsin, H.C., (2000). Texture segmentation using
modulated wavelet transform. IEEE Trans. Image Process.
Vol.9 (7), pp.1299–1302.
[19]. Guillemot, C., Onno, P., (1994). Cosine-modulated
wavelets: New results on design of arbitrary length filters and
optimization for image compression. In: Proc. Internat.
Conf. on Image Processing 1, Austin, TX, USA, pp. 820–824.
[20]. T. Ojala, M. Pietikainen, D. Harwood, (1996). A
comparative sudy of texture measures with classification
based on feature distributions, Elsevier J. Pattern
Recognition, Vol.29 (1), pp.51-59.
[21]. T. Ojala, M. Pietikainen, T. Maenpaa, (2002).
Multiresolution gray-scale and rotation invariant texture
classification with local binary patterns, IEEE Trans. Pattern
Anal. Mach. Intell., Vol.24 (7), pp.971-987.
[22]. M. Pietikainen, T. Ojala, T. Scruggs, K. W. Bowyer,
C.
Jin, K. Hoffman, J. Marques, M. Jacsik, W. Worek, (2000).
Overview of the face recognition using feature distributions,
Elsevier J. Pattern Recognition, Vol.33 (1), pp.43-52.
[23] T. Ahonen, A. Hadid, M. Pietikainen, (2006). Face
description with local binary patterns: Applications to face
recognition, IEEE Trans. Pattern Anal. Mach. Intell., Vol.28
(12), pp.2037-2041.
[24]. G. Zhao, M. Pietikainen, (2007). Dynamic texture
recognition using local binary patterns with an application
to facial expressions, IEEE Trans. Pattern Anal. Mach. Intell.,
Vol. 29 (6), pp.915-928.
[25] M. Heikkil;a, M. Pietikainen, (2006). A texture
based
method for modeling the background and detecting
moving objects, IEEE Trans. Pattern Anal. Mach. Intell.,
Vol.28 (4), pp.657-662.
[26]. X. Huang, S. Z. Li, Y. Wang, (2004). Shape
localization
based on statistical method using extended local binary
patterns, Proc. Inter. Conf. Image and Graphics, pp.184-
187.
[27]. M. Heikkila, M. Pietikainen, C. Schmid, (2009).
Description of interest regions with local binary patterns,
Elsevie J. Pattern recognition, Vol.42, pp.425-436.
[28]. M. Li, R. C. Staunton, (2008). Optimum Gabor filter
design and local binary patterns for texture segmentation,
Elsevier J. Pattern recognition, Vol.29, pp.664-672.
[29]. B. Zhang, Y. Gao, S. Zhao, J. Liu, (2010). Local
derivative pattern versus local binary pattern: Face
recognition with higher-order local pattern descriptor, IEEE
Trans. Image Proc., Vol.19 (2), pp.533-544.
[30]. N. G. Kingsbury, (1999). “Image processing
with
complex wavelet,” Phil. Trans. Roy. Soc. London A, Vol. 357,
pp. 2543–2560.
[31]. P. Brodatz, (1996). “Textures: A Photographic
Album for
Artists and Designers,” New York: Dover.
[32]. University of Suthern California, Signal and Image
Processing Institute, Rotated Textures. [Online]. Available:
http://sipi.usc.edu/database/.