| 摘要 |
A method for classifying objects in volumetric computed tomography (CT) data is described. The method is implemented by a computing device having a processor and a memory coupled to the processor. The method includes receiving, by the computing device, one or more volumetric CT data sets, identifying, by the computing device, a first object in the one or more volumetric CT data sets, identifying, by the computing device, a second object in the one or more volumetric CT data sets, determining, by the computing device, a first similarity amount between the first object and the second object, identifying, by the computing device, a first group comprising at least the first object and the second object, based at least in part on the first similarity amount, and designating, by the computing device, all of the objects in the first group as non-contraband. |
| 主权项 |
1. A method for classifying objects in volumetric computed tomography (CT) data, said method implemented by a computing device having a processor and a memory coupled to the processor, said method comprising:
receiving, by the computing device, one or more volumetric CT data sets; identifying, by the computing device, a first object in the one or more volumetric CT data sets; identifying, by the computing device, a second object in the one or more volumetric CT data sets; determining, by the computing device, a first similarity amount between the first object and the second object; identifying, by the computing device, a first group comprising at least the first object and the second object, based at least in part on the first similarity amount; and designating, by the computing device, all of the objects in the first group as non-contraband. |
