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Figure 4
Calculating the texton distribution from an image. Given a new image, each pixel is filtered with the filter bank and its filter response is compared with the texton dictionary generated previously. The label of the closest match in the dictionary is used to label the pixel. The final feature vector for each image is the frequency histogram of all texton labels in the dictionary.

Journal logoSTRUCTURAL
BIOLOGY
ISSN: 2059-7983
Volume 70| Part 10| October 2014| Pages 2702-2718
https://doi.org/10.1107/S1399004714017581
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