Morpho Detection, Inc.

Leica Geosystems Hds, Inc.

Dimitrios Ioannou

Mark Damon Wheeler

Todd Jason Gable

Jonathan Apollo Kung

Christopher Robin Thewalt

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.

System and method for detecting items of interest through mass estimation

An apparatus and method are described for acquiring tie-point target locations on a structure that eliminates the need for the user to manually identify features that can be used to register multiple scenes so that they share a single coordinate system. In the present invention, readily identifiable objects, known as targets, are placed on or near the structure. When the structure is scanned, the targets are identified and can then be used in other operations, such as registration.

System and method for acquiring tie-point location information on a structure

An apparatus and method are described that allow a surface of interest to be defined by the selection of a seed point that lies on the surface of interest. When a single seed point is defined, additional points that are in the vicinity of the seed point are grouped with the seed point to form a first set of points. When multiple seed points are defined, additional points that are in the vicinities of the seed points are grouped with the seed points to form the first set of points. The first set of points, along with a surface type, are then used to define a candidate surface. Following this, a second set of points is defined using the seed points and additional points that fall within a predefined distance of the candidate surface. The second set of points are partitioned into groups, and the groups that include the seed points along with the surface type are then used to redefine the candidate surface.

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Fremont, CA, United States of America

Dimitrios Ioannou