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Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [ 2 ] navigation of mobile robots , [ 3 ] or edge detection in images.
The generalized Hough transform (GHT), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.). In these cases, we have knowledge of the shape and aim to ...
Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e. when the treatment is not randomly assigned).
Template matching theory describes the most basic approach to human pattern recognition. It is a theory that assumes every perceived object is stored as a "template" into long-term memory. [ 4 ] Incoming information is compared to these templates to find an exact match. [ 5 ]
In software development, a traceability matrix (TM) [1]: 244 is a document, usually in the form of a table, used to assist in determining the completeness of a relationship by correlating any two baselined documents using a many-to-many relationship comparison.
Elastic matching is one of the pattern recognition techniques in computer science. Elastic matching (EM) is also known as deformable template, flexible matching, or nonlinear template matching. [1] Elastic matching can be defined as an optimization problem of two-dimensional warping specifying corresponding pixels between subjected images.
Not a "similar method". Issue: The section "Template-based matching and convolution" points to convolution in (the mathematical definition) but the elaborated example -algorithm and formulas- are not related to convolution at all! — Preceding unsigned comment added by Carlosayam (talk • contribs) 07:45, 1 August 2013 (UTC)
A template processor (also known as a template engine or template parser) is software designed to combine templates with data (defined by a data model) to produce resulting documents or programs. [ 1 ] [ 2 ] [ 3 ] The language that the templates are written in is known as a template language or templating language .