Mimicking human texture classification

Rikxoort van, Eva M. and Broek van den , Egon L. and Schouten, Theo E. (2005) Mimicking human texture classification. In: Human Vision and Electronic Imaging X, 16-20 January 2005, San Jose, CA, USA.

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Abstract:	In an attempt to mimic human (colorful) texture classication by a clustering algorithm three lines of research have been encountered, in which as test set 180 texture images (both their color and gray-scale equivalent) were drawn from the OuTex and VisTex databases. First, a k-means algorithm was applied with three feature vectors, based on color/gray values, four texture features, and their combination. Second, 18 participants clustered the images using a newly developed card sorting program. The mutual agreement between the participants was 57% and 56% and between the algorithm and the participants it was 47% and 45%, for respectively color and gray-scale texture images. Third, in a benchmark, 30 participants judged the algorithms' clusters with gray-scale textures as more homogeneous then those with colored textures. However, a high interpersonal variability was present for both the color and the gray-scale clusters. So, despite the promising results, it is questionable whether average human texture classication can be mimicked (if it exists at all).
Item Type:	Conference or Workshop Item
Copyright:	© 2005 SPIE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/59827
Official URL:	http://dx.doi.org/10.1117/12.587942
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