A simplified approach to the HMM based texture analysis and its application to document segmentation

Author:

Chenxe Jia-Lin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

1. Multichannel texture analysis using localized spatial filters;Bovik;IEEE Trans. Pattern Anal. Machine Intell.,1990

2. Textures — A Photographic Album for Artist and Designers;Brodatz,1965

3. Classification of textures using Gaussian Markov random fields;Chellappa;IEEE Trans. Acoust. Speech Signal Process,1985

4. Unsupervised texture segmentation using multichannel decomposition and hidden Markov model;Chen;IEEE Trans. Image Process,1995

5. A spatial filtering approach to texture analysis;Coggins;Pattern Recognition Lett.,1985

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2. Texture sparseness for pixel classification of business document images;International Journal on Document Analysis and Recognition (IJDAR);2014-02-12

3. Applying Preattentive Visual Guidance in Document Image Analysis;Advances in Machine Vision, Image Processing, and Pattern Analysis;2006

4. Morphological filter for text extraction from textured background;SPIE Proceedings;2001-11-02

5. AN INTEGRATED APPROACH TO SHAPE AND COLOR-BASED IMAGE RETRIEVAL OF ROTATED OBJECTS USING HIDDEN MARKOV MODELS;International Journal of Pattern Recognition and Artificial Intelligence;2001-02

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