The concept of raster slicing consists of assigning a unique value (and maybe a pseudo color) to each portion of an sliced image histogram. The principal use of image slicing is for human visualization and interpretation of gray-scale events in an image of sequence of images1.
Band: The raster band to be processed.
Equalize histogram: The image histogram will be equalized before the slicing process. Use this option when dealing with images with bad grayscale values distribution.
Use visible area only: Only the current visible image area will be used to calculate the required parameters.
Press “Generate Histogram” to read the image data and update the “Histogram” tab.
Options to create a user defined color table.
Parameters – Parameters related to the input raster values
Min Value – The values range minimum value.
Max Value – The values range maximum value.
Steps - Sets the number of portions that the image will be sliced into as well as the number of intervals in the preview histogram.
Precision - Sets the precision value.
Use Schema – Allows to change the used color schema and interact with the Color Bar ranges.
A table to fine tune slices parameters. All fields can be edited by double-clicking.
The “Color Column” shows the color linked to each slice. This color data will be written to the output raster when possible.
The “From Column” and “To Column” are the input raster pixel value ranges of each slice.
The “Index Column” contains the output raster pixel value associated to each slice.
Press Apply to update the Color map frame with the slices following the current parameters.
Press NEXT to jump the the next wizard page..
1 Digital Image Processing - Book by Rafael C. Gonzalez and Richard E. Woods - Prentice Hall