hifurrows

This program works by finding the correlation between the columns in an input image. With a Channel 0 image, the first five columns are examined; in a Channel 1 image, the last five columns are examined (Channel 2 images are not supported). If the statistical results suggest a furrow is detected (i.e. the correlation between two columns is below a certain threshold), then the affected column is replaced with Null pixels.

If a an input image does not have a furrow, none of its pixels will be altered. The label of all output files will include a new group called "Correlations." This group lists the correlations between the relevant columns. For example, "Column3to2 0.987..." means there is a strong positive correlation between columns 2 and 3 (and very unlikely to have a furrow in the area).