公开(公告)号：US09733385B2

公开(公告)日：2017-08-15

申请号：US14800595

申请日：2015-07-15

Applicant: Rapiscan Systems, Inc.

Inventor： Ed Franco ,  Ling Tang ,  Jing Ye Shea ,  Minyang Huang ,  Jolyon Browne

IPC: G01N23/04 ,  G01V5/00

CPC classification number: G01V5/0041 ,  G01N23/04

Abstract: The present specification discloses methods for scanning objects for the presence of lithium batteries. Normalized transmission X-ray data is used to generate organic, effective Z, and attenuation-based images. These images are then segmented using a combination of thresholding and region growing techniques to identify regions of interest. The regions are classified as lithium batteries or other objects, based on characteristics such as area of the region, its organic intensity, Zeff number, shape, spatial arrangement and texture.

公开(公告)号：US20170131428A1

公开(公告)日：2017-05-11

申请号：US15266595

申请日：2016-09-15

Applicant: Rapiscan Systems, Inc.

Inventor： Willem Gerhardus Johannes Langeveld ,  Ed Franco

IPC: G01V5/00 ,  G01N23/04

CPC classification number: G01V5/0041 ,  G01N23/04 ,  G01N2223/423 ,  G01N2223/643

Abstract: The present specification discloses systems for a compact and portable X-ray transmission imaging system that is used for security inspection of small items. The system includes a housing with an X-ray tunnel for receiving an article to be inspected, a conveyor for conveying the article through the tunnel, a dual source X-ray system, with a central target, for generating two overlapping cone beams, and a two-dimensional X-ray detector system for detecting the generated dual energy X-rays.

公开(公告)号：US20160084984A1

公开(公告)日：2016-03-24

申请号：US14800595

申请日：2015-07-15

Applicant: Rapiscan Systems, Inc.

Inventor： Ed Franco ,  Ling Tang ,  Jing Ye Shea ,  Minyang Huang ,  Jolyon Browne

IPC: G01V5/00 ,  G01N23/04

CPC classification number: G01V5/0041 ,  G01N23/04

Abstract: The present specification discloses methods for scanning objects for the presence of lithium batteries. Normalized transmission X-ray data is used to generate organic, effective Z, and attenuation-based images. These images are then segmented using a combination of thresholding and region growing techniques to identify regions of interest. The regions are classified as lithium batteries or other objects, based on characteristics such as area of the region, its organic intensity, Zeff number, shape, spatial arrangement and texture.

Abstract translation: 本说明书公开了用于扫描物体以存在锂电池的方法。 归一化传输X射线数据用于生成有机，有效的Z和基于衰减的图像。 然后使用阈值和区域生长技术的组合来分割这些图像以识别感兴趣的区域。 根据区域面积，有机强度，Zeff数，形状，空间布置和纹理等特点，将区域分类为锂电池或其他物体。