How do I automatically digitize my image in Didger?

To automatically vectorize line work and polygons in an image, go to Image | Vectorize Image in Didger. There are many options for you to get the best possible results. For the most complete information, go to Help | Content and select Vectorize Image on the Index tab. You may also wish to walk through the Tutorial on vectorizing images by going to Help | Tutorial and clicking on Lesson 7.

Some tips and basic explanations for the Vectorize Image dialog are included below:

  1. Edge Detection Method: For line work, we suggest using "Standard Object Thinning" as the Edge Detection method.
  2. Colors to Vectorize (Complete Image): To vectorize all lines in all colors in the image, select "Complete Image". 
  3. Colors to Vectorize (Selected Colors): If you only want to vectorize lines of a certain color in the image, select "Selected Colors" and then move your cursor over the image and click on the color you want to vectorize. When using Selected Colors, you also have the option to set the Tolerance value. For Tolerance, enter a value ranging from 0 to 255. A low value will vectorize colors very similar to the pixel you click on the image (a value of 0 will only vectorize colors exactly the same as the one you pick). A higher value will vectorize a broader range of colors.
  4. Polygons: If you want Didger to vectorize polygons in addition to polylines, check the checkbox in the lower right next to "Auto Generate Polygons"
  5. Vectorization Scheme: After you set all the parameters you want to vectorize your image, you have the option of saving all the settings as a "vectorization scheme" so the next time you want to vectorize an image, you can specify the same scheme and you won't have to input all the same settings over again. This will save you time. To get you started, Didger 4 comes with a number of predefined schemes.
  6. Create results on new layer(s): At the bottom of the dialog is a check box to create the vectorization results on a new layer. This is a good idea because if you don't like the results, you can easily delete the layer and redo the vectorization with different settings.


Updated June 29, 2018

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