Separating color and greyscale images to monochrome
layers
Brief
description: This section describes
how to separate color or greyscale raster images to monochrome layers.
Binarization
allows you to extract pixels of specified colors (or close to them) to
a monochrome layer. For example, when you binarize a map, first you may
create a monochrome layer that contains isolines; then a layer that contains
roads, etc.
Color Separation allows you to separate a color and greyscale image to
several monochrome layers with a single operation; each image pixel is
transferred to one of the resulting monochrome layers.
Binarization
Using binarization you need to specify
the color range(s) for a created layer, e.g., for hydrography layer -
from light-blue to dark-blue.
- Choose Binarization from the rImage
menu.
- Choose a binarization method - Range
or Threshold. Set the parameters for the chosen
method (Color model (RGB, HSV, Grey), and channel (grey, red,
green, blue, hue)).
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- Specify a layer and its color to place the
new monochrome image to.
- Using one of these eyedroppers
specify a range of colors on screen; these are added to the Colors
list. The estimated binarization results are highlighted in the
preview window. You can choose any incorrectly selected color
from the list, and then remove it using the Delete
button.
- Tune the results using the sliders, located
in Ranges (Threshold).
- You can delete small speckles that appear using
the slider Noise Reduction.
- When you achieve satisfactory results in the
Preview window, press the Apply button.
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Color separation
To execute Color separation you first
have to set color categories (thematic layers), by which you want to separate
the image, and then you set a list of colors for each category.
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. Choose
a standard color; specify a name for the category in the displayed Category
name and color dialog.
