A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Feature Extraction and Selection for Texture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Text segmentation using Gabor filters for automatic document processing
Machine Vision and Applications - Special issue: document image analysis techniques
Fast Boundary Detection: A Generalization and a New Algorithm
IEEE Transactions on Computers
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using multichannel decomposition and hidden Markov models
IEEE Transactions on Image Processing
Text area detection in digital documents images using textural features
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Applying preattentive visual guidance in document image analysis
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
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In this paper, we address a simplified approach to the HMM based texture analysis. The model complexity is reduced significantly by a simplified set of directional macro-masks and the stationary HMMs. The difficult problem of texture feature design is eased by our proposed scheme. Also, we successfully apply our scheme to a difficult document segmentation problem - text/textured background separation.