Autodesk 00126-050008-1630A User Guide - Page 101

7 Binarization and Color Separation All the parameters of this dialog are set using the sliders or by typing appropriate values in corresponding fields. 1. Set the Radius value -the radius within which the program will be analysing the level of noise to be cleaned. The greater this value, the more pixels surrounding the color transition boundary will be analyzed. 2. Select the Smooth checkbox. Using smoothing with the Binarize checkbox set to off produces a cleaner image with the background evened and line objects revealed. 3. Set the Binarize checkbox to create a monochrome image. 4. Click Ok after achieving satisfactory results in the preview window. Color Separation A real map or color diagram is usually made up of a small number of colors. However as a result of scanning a paper original we can get a color raster image having tenths or even hundreds of thousand of colors. Two similar procedures are described in this section that make possible to separate color image dots in non-overlapping sets, i.e. categories. These procedures are used to extract the colors the original image was created with. The objects of one sort are usually marked with the same color; therefore we are able to separate necessary image objects. Each category is based on a set of basic colors. A set of basic colors that belong to all categories defines the separation of original image dots in non-overlapping basic subsets. To distribute colors into subsets WiseImage performs the following procedure. The color difference between each dot of a color image and all specified basic colors is calculated. This dot is put in a subset of basic color that has the minimum color difference from the color of this dot in the RGB area. Thus, all the original image dots are split to basic subsets, related to the specified basic colors. 103