Morpho Detection, Inc.

Todd Jason Gable

Samit Kumar Basu

Dimitrios Ioannou

Jed Douglas Pack

Eugene Alex Ingerman

A method for imaging an object is provided. The method includes acquiring image data of the object, wherein the image data includes a plurality of original voxels, and identifying, using a processing device, a first subset of voxels from the acquired image data. The method also includes performing a principal component analysis (PCA) on the first subset of voxels and determining whether sheet-like material is present in the object based on the results of the performed PCA on the first subset of voxels.

Systems and methods for imaging and detecting sheet-like material

A method for imaging an object is provided. The method includes acquiring image data of the object, wherein the image data includes a plurality of original voxels each having an original CT number, identifying, using a processing device, a subset of the original voxels based on at least one of an original CT number and a location of each original voxel, applying, using the processing device, an anisotropic smoothing filter to the identified original voxels in the subset to generate a set of smoothed voxels each having a smoothed CT number, generating, using the processing device, smoothed image data by combining the original voxels and the smoothed voxels, and analyzing the smoothed image data to determine whether the object contains contraband.

Systems and methods for thin object imaging

A method and system for selective resolution improvement in computed tomography (CT) scanning. The method includes receiving scan data representative of a scanned object from a CT scanner and reconstructing the scan data using a first algorithm to create a first set of reconstructed data. A region of interest is identified within the first set of reconstructed data. A portion of the scan data corresponding to the region of interest is reconstructed using a second algorithm to create a second set of reconstructed data. The first set of reconstructed data and the second set of reconstructed data are combined to create combined reconstructed data.

Methods and system for selective resolution improvement in computed tomography

A method for identifying an object within a container is provided. The method includes acquiring image data representing an image, applying a morphological operator to the acquired image data to generate morphed image data, calculating a histogram based on the morphed image data, and classifying the image using the calculated histogram. A classification of the image may be displayed and/or stored in a computer-readable memory.

Methods and systems for identifying a thin object

A system and method for identifying an object based on its estimated mass. In one aspect, a method for estimating a mass of an object is provided. The method includes acquiring image data including a plurality of image elements, calculating a histogram based on the image data, calculating a computed tomography (CT) number of the object using an anisotropic erosion operator, and determining a perimeter of the object. The method also includes calculating an estimated mass of the object using the CT number and a first subset of image elements of the plurality of image elements, the first subset of image elements defined by the perimeter of the object, and outputting at least one of the estimated mass of the object and an image including the object.

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Newark, CA, United States of America

Todd Jason Gable