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Thin Image in the Train Menu is exactly the same as Thin > Standard in the Raster Effects Menu. It is also included in the Train Menu because raster images must be thinned before characters on them are added to a training set. This is because when an example character is added to the training set Scan2CAD “standardizes” it by scaling it to fit within a grid of 12 x 16 pixels. This allows the example characters to be presented to the neural network in a consistent manner for learning. Thinning the characters means that shape details are retained when the characters are scaled. In the diagrams below, the “S” on the left was not thinned before scaling and is no longer recognizable as an “S”. The “S” on the right is the same “S” scaled after thinning.
The number of thinnings is the number of times Scan2CAD goes through the image stripping a layer of pixels off it. The larger the number you choose, the more thinned the image will be although it will never be thinned right away – Scan2CAD will always retain an image one pixel thick. As you move the slider to the right you will see the raster image in the Preview Window getting thinner. For the purposes of font training, the number of thinnings you enter should be large enough to thin the image to one pixel thickness.
Adjust the number of thinnings if necessary.
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Thin the raster image
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