Method and system for grouping and classifying objects in computed tomography data

A computing device comprising a processor and a memory coupled to said processor, wherein said memory comprises computer-executable instructions that, when executed by said processor, cause said computing device to:

• receive one or more volumetric CT data sets;
• identify a first object in the one or more volumetric CT data sets;
• identify a second object in the one or more volumetric CT data sets;
• determine a first similarity amount between the first object and the second object;
• identify a first group comprising at least the first object and the second object, based at least in part on the first similarity amount;
• and
• designate all of the objects in the first group as non-contraband.

A computer-readable storage device having computer-executable instructions embodied thereon, wherein, when executed by a computing device having a processor and a memory coupled to the processor, cause the computing device to perform the steps of:

• receiving one or more volumetric CT data sets;
• identifying a first object in the one or more volumetric CT data sets;
• identifying a second object in the one or more volumetric CT data sets;
• determining a first similarity amount between the first object and the second object;
• identifying 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 all of the objects in the first group as non-contraband.