The concept of raster slicing consists of assigning 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 valuesMin 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.
Use Schema – Allows to change the used color schema and interact with the Color Bar ranges.
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