Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Localization Based on Statistical Method Using Extended Local Binary Pattern
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Texture image retrieval using rotated wavelet filters
Pattern Recognition Letters
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimum Gabor filter design and local binary patterns for texture segmentation
Pattern Recognition Letters
Fast communication: Dominant sets clustering for image retrieval
Signal Processing
Local binary patterns for a hybrid fingerprint matcher
Pattern Recognition
Description of interest regions with local binary patterns
Pattern Recognition
Texture image retrieval based on non-tensor product wavelet filter banks
Signal Processing
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Directional Hartley transform and content based image retrieval
Signal Processing
Lipreading with local spatiotemporal descriptors
IEEE Transactions on Multimedia
Enhanced local texture feature sets for face recognition under difficult lighting conditions
IEEE Transactions on Image Processing
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Local structure-based region-of-interest retrieval in brain MR images
IEEE Transactions on Information Technology in Biomedicine
Signal Processing
Texture image retrieval using new rotated complex wavelet filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
IEEE Transactions on Image Processing
Directional line edge binary pattern for texture image indexing and retrieval
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Image indexing using the color and bit pattern feature fusion
Journal of Visual Communication and Image Representation
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A new algorithm meant for content based image retrieval (CBIR) and object tracking applications is presented in this paper. The local region of image is represented by local maximum edge binary patterns (LMEBP), which are evaluated by taking into consideration the magnitude of local difference between the center pixel and its neighbors. This LMEBP differs from the existing LBP in a manner that it extracts the information based on distribution of edges in an image. Further, the effectiveness of our algorithm is confirmed by combining it with Gabor transform. Four experiments have been carried out for proving the worth of our algorithm. Out of which three are meant for CBIR and one for object tracking. It is further mentioned that the database considered for first three experiments are Brodatz texture database (DB1), MIT VisTex database (DB2), rotated Brodatz database (DB3) and the fourth contains three observations. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques.