Ling Tang

age ~59

from Brewster, MA

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Ling Tang Phones & Addresses

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Author
Ling Tang

ISBN #
7563331417

Name / Title

Company / Classification

Phones & Addresses

Ling Tang
Senior Algorithm Scientist

Reveal Imaging Technologies, Inc.
Medical Laboratories

28 Crosby Dr, Bedford, MA 01730

Ling Tang
Treasurer

NORTH AMERICAN CHINESE ASSOCIATION FOR SCIENCE AND TECHNOLO*

520 Pleasant St, Malden, MA 02148
5 Ctr St APT 12, Cambridge, MA 02139

Systems And Methods For The Automatic Detection Of Lithium Batteries In Cargo, Baggage, Parcels, And Other Containers
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US Patent:

20180128936, May 10, 2018
Filed:

Jul 10, 2017
Appl. No.:

15/645672
Inventors:

- Torrance CA, US
Ling Tang - Newton MA, US
Jing Ye Shea - Groveland MA, US
Minyang Huang - Andover MA, US
Jolyon Browne - San Jose CA, US
International Classification:

G01V 5/00
G01N 23/04
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, Znumber, shape, spatial arrangement and texture.

Systems And Methods For The Automatic Detection Of Lithium Batteries In Cargo, Baggage, Parcels, And Other Containers
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US Patent:

20160084984, Mar 24, 2016
Filed:

Jul 15, 2015
Appl. No.:

14/800595
Inventors:

- Torrance CA, US
Ling Tang - Newton MA, US
Jing Ye Shea - Groveland MA, US
Minyang Huang - Andover MA, US
Jolyon Browne - San Jose CA, US
International Classification:

G01V 5/00
G01N 23/04
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, Znumber, shape, spatial arrangement and texture.