Figure 5.

Algorithm to detect areas with diffuse defects. The Outlier Image is obtained as for the analysis of the compact defects. A circular kernel is then applied to each pixel in the image to detect areas in which the observed number of outliers exceeds the expected number, based on a binomial test. The defected areas thus determined undergo a round of cluster detection and size threshold, in order to eliminate small areas. The final step involves a dilation and erosion of the defects, in order to better outline the areas.

Suárez-Fariñas et al. BMC Bioinformatics 2005 6:294   doi:10.1186/1471-2105-6-294
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