Expert content-based image retrieval system using robust local patterns

A new image indexing and retrieval algorithm for content based image retrieval is proposed in this paper. The local region of the image is represented by making the use of local difference operator (LDO), separating it into two components i.e. sign and magnitude. The sign LBP operator (S_LBP) is a generalized LBP operator. The magnitude LBP (M_LBP) operator is calculated using the magnitude of LDO. A robust LBP (RLBP) operator is presented employing robust S_LBP and robust M_LBP. Further, the combination of Gabor transform and RLBP operator has also been presented. The robustness is established by conducting four experiments on different image database i.e. Corel 1000 (DB1), Brodatz texture database (DB2) and MIT VisTex database (DB3) under different lighting (illumination) and noise conditions. Investigations reveal a promising achievement of the technique presented when compared to S_LBP and other existing transform domain techniques in terms of their evaluation measures.

[1]  Hossein Nezamabadi-pour,et al.  Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval , 2009, Expert Syst. Appl..

[2]  Xiaoyang Tan,et al.  Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions , 2007, IEEE Transactions on Image Processing.

[3]  Alireza Ahmadian,et al.  An efficient texture classification algorithm using Gabor wavelet , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[4]  Prabir Kumar Biswas,et al.  Texture image retrieval using new rotated complex wavelet filters , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Hamid Abrishami Moghaddam,et al.  A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[6]  P.K. Biswas,et al.  Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[7]  Marko Heikkilä,et al.  A texture-based method for modeling the background and detecting moving objects , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Minh N. Do,et al.  Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance , 2002, IEEE Trans. Image Process..

[9]  Prabir Kumar Biswas,et al.  A Survey on Current Content based Image Retrieval Methods , 2002 .

[10]  Ju-Chin Chen,et al.  Region-based image retrieval system with heuristic pre-clustering relevance feedback , 2010, Expert Syst. Appl..

[11]  Marko Heikkilä,et al.  Description of interest regions with local binary patterns , 2009, Pattern Recognit..

[12]  Baochang Zhang,et al.  Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor , 2010, IEEE Transactions on Image Processing.

[13]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  R. P. Maheshwari,et al.  Color and Texture Features for Image Indexing and Retrieval , 2009, 2009 IEEE International Advance Computing Conference.

[15]  Jian Fan,et al.  Texture Classification by Wavelet Packet Signatures , 1993, MVA.

[16]  Hamid Abrishami Moghaddam,et al.  Gabor Wavelet Correlogram Algorithm for Image Indexing and Retrieval , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[17]  Vincent S. Tseng,et al.  Effective content-based video retrieval using pattern-indexing and matching techniques , 2010, Expert Syst. Appl..

[18]  M. Esmel ElAlami,et al.  Unsupervised image retrieval framework based on rule base system , 2011, Expert Syst. Appl..

[19]  Subrahmanyam Murala,et al.  Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval , 2014, IEEE Journal of Biomedical and Health Informatics.

[20]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Ying Liu,et al.  A survey of content-based image retrieval with high-level semantics , 2007, Pattern Recognit..

[22]  Matti Pietikäinen,et al.  A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..

[23]  Til Aach,et al.  Texture Classification by Modeling Joint Distributions of Local Patterns With Gaussian Mixtures , 2010, IEEE Transactions on Image Processing.

[24]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Hamid Abrishami Moghaddam,et al.  A new algorithm for image indexing and retrieval using wavelet correlogram , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[26]  Stan Z. Li,et al.  Shape localization based on statistical method using extended local binary pattern , 2004, Third International Conference on Image and Graphics (ICIG'04).

[27]  Thomas S. Huang,et al.  Image processing , 1971 .

[28]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[29]  Prabir Kumar Biswas,et al.  Texture image retrieval using rotated wavelet filters , 2007, Pattern Recognit. Lett..

[30]  Li Ma,et al.  Optimum Gabor filter design and local binary patterns for texture segmentation , 2008, Pattern Recognit. Lett..

[31]  B. S. Manjunath,et al.  Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[32]  Zhenhua Guo,et al.  Rotation invariant texture classification using LBP variance (LBPV) with global matching , 2010, Pattern Recognit..

[33]  Phil Brodatz,et al.  Textures: A Photographic Album for Artists and Designers , 1966 .

[34]  Marcel Worring,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  Matti Pietikäinen,et al.  Rotation-invariant texture classification using feature distributions , 2000, Pattern Recognit..