Avidyne Corporation

Cognex Corporation

David P Bedrosian

Daniel J Schwinn

Theodore H Cannaday, Jr

Frederic D Barber

William M Silver

Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Displaying lightning strikes

An improved machine vision apparatus, of the type having a search element capable of estimating the location of a template image in a candidate image, includes an element that accepts signals representative of the template and of a candidate image. Those signals are applied to the search element to obtain its estimate of location. A correction element responds to the resulting approximation by the location-finder for generating a signal representative of more exacting location based on a known relationship between the location-finder output and more exacting locations of the template in a model of the candidate image.

Methods and apparatus for machine vision high accuracy searching

A machine vision apparatus of the type having a match-scoring functionality for generating a metric as a function, e.g., a correlation, of applied image signals features an improvement for estimating a location of a template in a candidate image. The improvement is characterized by a segment peak finding element that applies to the match-scoring element a plurality of pairs of image signals along a 'segment.' Each such pair includes a signal representing the template and a signal representing a respective portion of the candidate image taken along a first axis. Thus, ignoring their template components, plural pairs of signals can represent successive adjacent portions of the candidate image that are 'in line' along a first axis. Functionality within the segment peak finder determines a peak value of the metric generated by the match-scoring element in response to application of the pairs within the segment. A hill climbing element invokes the segment peak finder means to determine an image peak from among a plurality of segment peaks. To this end, the hill climber invokes the segment peak finder, e.g., with successive adjacent segments along the y-axis, where each segment itself is oriented, e.g., along the x-axis. The hill climber determines the image peak directly from the segment peaks, or by interpolation or extrapolation therefrom. The location of the template within the candidate image is, itself, determined from the position of the image peak.

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Franklin, MA, United States of America

David P Bedrosian