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Filtering by: Advisor Bock, Peter S Author Oertel, Carsten Degree Ph.D. Keyword pattern recognition Type of Work Thesis or Dissertation

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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, pattern recognition, and adaptive systems

GW Unit:

Computer Science

Degree:

Ph.D.

Advisor:

Bock, Peter S

Committee Member(s):

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

Resource Type:

Thesis or Dissertation