A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance

Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters derived from well-known discrete transforms, and Gabor filters. The post-processing step comprises non-linear point operations and/or local statistics computation. The performance is measured by means of the Mahalanobis distance between clusters of feature vectors derived from different textures. The results show that post-processing improve considerably the performance of filter based texture operators.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Simona E. Grigorescu, Nicolai Petkov, Peter Kruizinga
• Keywords: Computer Vision, Gabor Filters, ICPR 2000, Post-processing Step, Texture Feature Extraction