R2V has several functions for color image processing. It normally requires some combination of functions to extract vector data properly from color images due to their complexity. There are 3 types of color images supported in R2V.
The following will explain each type and how they can be vectorized. A. 8-bit palette color.
Image pixels are color coded and displayed with its defined color map. For an 8-bit palette color image, you need to select a training or feature region to indicate the colors to be vectorized. For example, if you want to get vector data for all the water boundaries, first draw a selection rectangle within a water area, such as river or lake.
While the rectangle is displayed on screen, select the Vector/Auto Vectorize command. Then select the "Boundary Line" option to vectorize the region boundaries. You can repeat this process to vectorize another color feature and add the vector data to the current data set.
B. 24-bit true color. Each pixel has 3 color values, ... more.
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