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Basic concepts for the MIL Geometric Model Finder module



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The basic concepts and vocabulary conventions for the MIL Geometric Model Finder module are:

  • Active edges. Edges which are used to compose the geometric model without being masked out, and are searched for in the target.

  • Bounding box of the edges. The smallest rectangle that fully encloses all of the edges of the model.

  • Chain. The set of connected edgels that construct an edge.

  • Edge. A curve that delineates a boundary, which can be established from intensity transitions in an image. In Model Finder, an edge is considered to be a chain, and its features.

  • Edge feature. Information describing an edge, such as its length.

  • Edge map. The edges extracted from the model image.

  • Edgel. Elementary point (or edge element) within an edge.

  • Model. The information that defines the pattern of active edges to find in the target and the search settings with which to do so.

  • Model box. The box that delimits the boundaries of the model. Essentially, the model box is the bounding box of the edges plus a margin. For image-type and Edge Finder-type models, the size of the model box is specified when defining the model. For synthetic models, the margin can be adjusted after model definition.

  • Model Finder context. The container for all models that you want to find. The Model Finder context allows you to set global search settings that apply to the search algorithm.

  • Model image. For an image-type and Edge Finder-type model, the model image is a copy of the region in the model source image from which the model has been defined. Note that the model source image for an Edge Finder-type model is the image source of the result buffer. For a synthetic model, the model image is the image representation (edge map) of the model.

  • Model mask. A binary image used to define irrelevant, inconsistent, or featureless areas in the model, so that only pertinent model details are used for the search.

  • Model origin. The point in the model's coordinate system that is considered to be (0, 0).

  • Model source. The immediate source of the model's edges. For example, for an Edge Finder-type model, the model source is the buffer of the Edge Finder results.

  • Model source image. The image from which you have defined an image-type model, or from which you have extracted the edges for an Edge Finder-type model.

  • Occurrence. An instance of the model found in the target.

  • Score. A measure of the active edges in the model found in the occurrence, weighted by the deviation in position of these common edges.

  • Synthetic models. Models that have a predefined shape, such as a circle or a square, or are defined from a CAD-type file.

  • Target. The image or result buffer in which to search for occurrences of the model.

  • Target score. A measure of edges found in the occurrence that are not present in the original model, weighted by the deviation in position of the common edges.

  • Target edges. The edges in the target.