One of the most important steps in machine vision applications is locating an object of interest within the camera's field of view - a task that can be accomplished using pattern matching software. Such software tools can be deployed, for example, in systems where vision-guided robots need to pick and place randomly oriented parts from a conveyor. However, the task of pattern matching is not trivial since many variables such as an object's orientation, texture, color and features as well as variable lighting conditions, will dictate which type of pattern matching software is best suited for the task.
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