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. A MIL object that stores all models for which to search. The Model Finder context also stores 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.