Using the PatMax and CNLSearch Tools

This section describes how to use the PatMax and CNLSearch vision tools. You follow the same basic steps to use both of these tools. CNLSearch finds instances of a trained model and PatMax finds instances of a trained shape or a trained image. For PatMax, both image training and shape training produce a trained pattern.

  1. Obtain a training source similar to what you wish to locate in run-time images. For CNLSearch you need a training model, and for PatMax you need a training image or a shape model. You can use the Auto-select tool to locate appropriate portions of the PatMax pattern or CNLSearch model. See Using the Auto-Select Tool.
  2. Train PatMax or CNLSearch.
  3. Run the tool and search for the trained pattern or model in one or more run-time images.
  4. Use the information returned by the tool about the pattern or model location in the run-time image.

As part of the process of training a pattern or model, specify the pattern or model origin. Both PatMax and CNLSearch return information about found instances of the pattern or model in terms of the pattern or model origin that you specify. The next section contains important information about specifying the pattern or model origin.