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Filtering by: Author Oertel, Carsten Keyword pattern recognition Keyword machine learning Type of Work Thesis or Dissertation

The ALISA Component Module: General Shape Classification for Digital Radiographic Images

Description:

Accurate and robust object classification is an unsolved problem in the field of digital radiographic image (DRI) analysis. The problem is confounded by variations in objects' scale, rotation, translation, point-of-view, partial obscuration, and noise. In addition, DRIs present a unique set of...

Author:

Oertel, Carsten

Keyword:

machine learning, adaptive systems, and pattern recognition

GW Unit:

Computer Science

Degree:

Ph.D.

Advisor:

Bock, Peter S

Committee Member(s):

Martin, C. Dianne, Happel, Mark D, Armstrong, Alice J, Choi, Hyeong-Ah, and Youssef, Abdou

Resource Type:

Thesis or Dissertation