Mimicking human texture classification


Rikxoort, Eva M. van and Broek, Egon L. van den and Schouten, Theo E. (2005) Mimicking human texture classification. In: Human Vision and Electronic Imaging X, 16-20 January 2005, San Jose, CA, USA (pp. pp. 215-226).

[img] PDF (Article)
Restricted to UT campus only
: Request a copy
[img] HTML (Data of Mimicking Humans in Texture Sorting (M-HinTS))
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
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/59827
Official URL:https://doi.org/10.1117/12.587942
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page