General Electric Company

Victor Nzomigni

Van-Duc Nguyen

Charles Vernon Stewart

Donald Wagner Hamilton

Glen William Brooksby

Peter Henry Tu

Steven Jeffrey Gordon

James Vradenburg Miller

Joseph Leagrand Mundy

John L Schneiter

Joseph Benjamin Ross

Faycal Benayad-Cherif

Roderic Greene Collins

Thomas Watkins Lloyd, Jr

Nathalie Claire Poirier

Lila Abdessemed

Kishore Bubna

A non-contact imaging apparatus for examining an object having complex surfaces or shape deformations. The imaging apparatus includes at least one imaging device for obtaining a scanned image of the exterior surfaces of the object being examined. A predetermined reference image) of an ideal model for the object is stored in a memory. An image register is coupled to the imaging device and to the memory containing the reference image of the ideal model for the object. A transformation estimator compares the scanned image to the reference image and provides a transform which maps the scanned image to the reference image and provides a set of registered object data points. One or more filter modules process the registered object data points with a priori information to reduce noise and to further enhance the accuracy and precision of the registration. A gauge estimator is coupled to the filter module. The gauge estimator utilizes the processed and registered object data to determine deformation parameters of the object, which are then displayed to an operator as gauging information.

Non-contact measurement method and apparatus

The present invention is directed to an imaging apparatus for examining an object having smooth surfaces to determine shape deformations in the surface of object. The imaging apparatus includes an imaging device for obtaining a scanned image of the object to be examined. A reference image of the object is stored in a memory. An image register is coupled to the imaging device and to the memory containing the reference image of the object. The image register stores patch information corresponding to both the reference image and the scanned image. A transformation estimator is coupled to the image register, and provides a transform for registering the scanned image to the reference image. A deformation estimator is coupled to the transformation estimator and to the image register. The deformation estimator is configured to utilize the transform and the patch information to determine shape deformations of the object.

Method and apparatus for finding shape deformations in objects having smooth surfaces

A machine vision system includes an apparatus for registering an input image of an object, such as an aircraft engine blade, to a reference image comprising ideal specifications for the object in order to detect flaws in the object. The system includes one or more imaging devices for obtaining the input image representing the object. The system further includes a processor for registering the input image to the reference image. The processor includes a patch determining device for identifying low curvature portions of the reference image off-line. A transformation estimator matches the low curvature portions of the reference image to corresponding low curvature portions of the object, and provides a transformation matrix which maps points on the reference image to corresponding points on the input image for precise and fast registration.

Method and apparatus for image registration

A method for determining the axis of rotation (AR) of an object ( ) mounted to a rotary stage or platform ( ) in a gauge measurement system by estimating a transformation (&dgr;) between multiple views or measurements of the object ( ) obtained at different poses.

Calibration software for surface reconstruction of small objects

A method for calibrating a non-contact range sensor comprises the steps of employing the range sensor to obtain a range image of an object to be inspected. The range image is registered with a reference image of the object thereby providing registered data. The reference image may be derived through computer assisted drawing (CAD) data. Normal deviations between the registered data and the reference image are computed. Noise is filtered from the normal deviations. A plurality of bias vectors and a covariance matrix are estimated based on the normal deviations, stored in memory as a lookup table comprising geometric correction factors for the sensor. Images of the object subsequently obtained by the sensor are compensated in accordance with the lookup table.

Method and apparatus for calibrating a non-contact range sensor

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Niskayuna, NY, United States of America

Victor Nzomigni