Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).-Piled imagesImagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).




File list:
imagescn.m