Color texture classification by integrative Co-occurrence matrices

By Christoph Palm. Pattern Recognition, 2004

324 citations recorded by the source corpus.

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Image retrieval based on micro-structure descriptor (2011, unknown): “There are some algorithms that combine color and texture features together, such as the integrative co-occurrence matrix [12], texton co-occurrences matrix [13], multi-texton histogram (MTH) [4], color edge co-occurrence histogram (CECH) [14], color auto-correlograms [5], etc.”
Feature representation for statistical-learning-based object detection: A review (2015, methodology): “Cooccurrence features [63][64] are based on the joint probability distribution.”
Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform (2014, background): “…such as generalized cooccurrence matrices (Davis et al., 1979), which consider the distribution of local maxima; integrative co-occurrence matrices (Palm, 2004), which operate on colour images and, more recently, pattern co-occurrence matrices (Song, 2011; González et al., 2014), which analyse…”
Content-based image retrieval using color difference histogram (2013, background): “Some algorithms can ultimately combine color and texture together; these include integrative co-occurrence matrices [16], the texton co-occurrences matrix [17], the multi-texton histogram [18], the color edge co-occurrence histogram [19], and the micro-structure descriptor [20].”
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques (2008, methodology): “[103] C.”