Co-occurrence map: Quantizing multidimensional texture histograms

Author:

Oja Erkki,Valkealahti Kimmo

Publisher

Elsevier BV

Subject

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

Reference6 articles.

1. Self-Organizing Maps;Kohonen,1995

2. Progress with the tree-structured self-organizing map;Koikkalainen,1994

3. Performance evaluation for four classes of textural features;Ohanian;Pattern Recognition,1992

4. Compressing higher-order co-occurrences for texture analysis using the self-organizing map;Oja,1995

5. Performance evaluation of texture measures with classification based on Kullback discrimination of distributions;Ojala,1994

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1. Non-uniform Quantization in Breaking HUGO;Digital-Forensics and Watermarking;2014

2. Texture Description Through Histograms of Equivalent Patterns;Journal of Mathematical Imaging and Vision;2012-09-12

3. SOM of SOMs;Neural Networks;2009-05

4. Local Relational String for Textures Classification;2006 International Conference on Image Processing;2006-10

5. Multi-scale texture classification from generalized locally orderless images;Pattern Recognition;2003-04

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