Abstract: A downhole multi-modality inspection system includes a first imaging device operable to generate first imaging data and a second imaging device operable to generate second imaging data. The first imaging device includes a first source operable to emit energy of a first modality, and a first detector operable to detect returning energy induced by the emitted energy of the first modality. The second imaging device includes a second source operable to emit energy of a second modality, and a second detector operable to detect returning energy induced by the emitted energy of the second modality. The system further includes a processor configured to receive the first imaging data and the second imaging data, and integrate the first imaging data with the second imaging data into an enhanced data stream. The processor correlates the first imaging data and the second imaging data to provide enhanced data for detecting potential wellbore anomalies.

Abstract: A downhole multi-modality inspection system includes a first imaging device operable to generate first imaging data and a second imaging device operable to generate second imaging data. The first imaging device includes a first source operable to emit energy of a first modality, and a first detector operable to detect returning energy induced by the emitted energy of the first modality. The second imaging device includes a second source operable to emit energy of a second modality, and a second detector operable to detect returning energy induced by the emitted energy of the second modality. The system further includes a processor configured to receive the first imaging data and the second imaging data, and integrate the first imaging data with the second imaging data into an enhanced data stream. The processor correlates the first imaging data and the second imaging data to provide enhanced data for detecting potential wellbore anomalies.

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: A method of classifying a dent on a surface of a shipping container as being in an acceptable or unacceptable classification includes calculating at least one of an acceptable dent depth range corresponding to the acceptable classification and an unacceptable dent depth range corresponding to the unacceptable classification. The method further includes measuring a depth of the dent with a measurement apparatus and comparing the depth with the acceptable and/or unacceptable dent depth ranges to classify the dent in the acceptable or unacceptable classification. The method of classifying the dent on the surface of the shipping container is accurate and repeatable because it includes measuring the depth of the dent and comparing the depth with the acceptable and unacceptable dent depth ranges. The ability to classify dents allows recipients of the shipping containers to consistently accept or reject shipping containers having dents in the acceptable and unacceptable classifications, respectively.

Abstract: A method of classifying a dent on a surface of a shipping container as being in an acceptable or unacceptable classification includes calculating at least one of an acceptable dent depth range corresponding to the acceptable classification and an unacceptable dent depth range corresponding to the unacceptable classification. The method further includes measuring a depth of the dent with a measurement apparatus and comparing the depth with the acceptable and/or unacceptable dent depth ranges to classify the dent in the acceptable or unacceptable classification. The method of classifying the dent on the surface of the shipping container is accurate and repeatable because it includes measuring the depth of the dent and comparing the depth with the acceptable and unacceptable dent depth ranges. The ability to classify dents allows recipients of the shipping containers to consistently accept or reject shipping containers having dents in the acceptable and unacceptable classifications, respectively.

Abstract: A method of producing an enhanced Active Appearance Model (AAM) by combining images of multiple resolutions is described herein. The method generally includes processing a plurality of images each having image landmarks and each image having an original resolution level. The images are down-sampled into multiple scales of reduced resolution levels. The AAM is trained for each image at each reduced resolution level, thereby creating a multi-resolution AAM. An enhancement technique is then used to refine the image landmarks for training the AAM at the original resolution level. The landmarks for training the AAM at each level of reduced resolution is obtained by scaling the landmarks used at the original resolution level by a ratio in accordance with the multiple scales.

Abstract: A technique is provided for performing diagnosis and/or analysis of a volumetric image generated via anatomy based reconstruction. The technique includes generating a three-dimensional image by reconstructing a plurality of residual projection images from which a contribution of one or more structures of interest has been removed. The technique also includes evaluating the three-dimensional image and/or the plurality of residual projection images to generate a diagnosis.

Abstract: A technique is provided for performing a computer aided detection (CAD) analysis of a three-dimensional volume using a computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes selecting one or more three-dimensional points of interest in a three-dimensional volume, forward projecting the one or more three-dimensional points of interest to determine a corresponding set of projection points within one or more two-dimensional projection images, and computing output values at the one or more three-dimensional points of interest based on one or more feature values or a CAD output at the corresponding set of projection points.

Abstract: A technique is provided for comparative image analysis and/or change detection using computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes registering a first three-dimensional image of a first volume and a second three-dimensional image of a second volume. The first and the second volume are generally anatomically symmetric to one another. The technique also includes automatically comparing the first three-dimensional image and the second three-dimensional image.

Abstract: A technique is provided for comparative image analysis and/or change detection using computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes registering a three-dimensional image and a two-dimensional image, projecting the registered three-dimensional image to generate a reprojected two-dimensional image, and automatically comparing the two-dimensional image and the reprojected two-dimensional image.

Abstract: A technique is provided for comparative image analysis and/or change detection using computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes registering two or more images, comparing the images with one another to generate a change map, and detecting anomalies in the images based on the change map.

Abstract: A method for performing a computer aided detection (CAD) analysis of images acquired from a multiple projection X-ray system is provided. The method comprises accessing the projection images from the multiple projection X-ray system and applying a plurality of reconstruction algorithms on the projection images to generate a plurality of reconstructed images. Then, the method comprises applying a CAD algorithm to the plurality of reconstructed images.