Texture databases – A comprehensive survey

Author:

Hossain Shahera,Serikawa Seiichi

Publisher

Elsevier BV

Subject

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

Reference139 articles.

1. Detection of Masses in digital mammogram using second order statistics and artificial neural network;Abdalla;Internat. J. Comput. Sci. Inf. Technol.,2011

2. Optimized calculations of Haralick texture features;Alam;Euro. J. Scientific Res.,2011

3. Aras, B., Ertuzun, A., Ercil, A., 1999. Higher order statistics based texture analysis method for defect inspection of textile products. In: IEEE–EURASIP Workshop on Nonlinear Signal and Image Processing, pp. 858–862.

4. Pre-processing of mammogram images;Bandyopadhyay;Internat. J. Eng. Sci. Technol.,2010

5. Bandyopadhyay, S., Maitra, I., 2010. Digital imaging in mammography towards detection and analysis of human breast cancer, IJCA Special Issue on Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications. pp. 29–34.

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