Out of range data
Often images or data cubes have pixels with values that are
way too large, which render most of the image as featureless black.
There are several ways to take care of this problem.
For Images (in the Lispix Menu
Bar): (Help / Samples & Info / Images
/ Rutile 16 bit is a good sample image to use. Example
using the Rutile image.)
Scale / trimmed Useful for ignoring
the brightest and darkest pixels in an image. You type in the percent
on each end of the distribution to ignore.
- Scale / fixed limits Same result as trimmed scaling, except
you put in the brightness level range to be used -- any pixels outside this
range are ignored.
- Scale / equalized A severe sort of enhancement, but it
will take care of the outliers and show something in the image.
- CLUT / display Gray Level component If you use a slider
to bring out detail in an image, the outliers will probably be clipped, along
with the image over all intensities being changed. The gray level component
is an 8-bit image of what you see, and can be saved as a TIFF file.
For Data Cubes (in the Cube
button of the Data Cube Tool);
- Cube / trimmed scaling Each slide is scaled independently
of the others, using the percent that you choose. This usually makes
all of the slides in a cube show something, but note that a spectrum of such
a cube will be garbaged.
- Cube / clip to fixed limits. All of the slices are scaled
to the same limits, clipping outliers. The spectra from such a cube
will be OK, except that peaks will be cut off at the limit, in other words
they will have flat tops.