Evaluating the performance of machine-learning techniques for recognizing construction materials in digital images

Evaluating the performance of machine-learning techniques for recognizing construction materials in digital images

Digital images acquired at construction sites contain valuable information useful for various applications including As-built documentation of building elements, effective progress monitoring, structural damage assessment, and quality control of construction material. As a result there is an increas...

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Bibliographic Details
Main Author: Rashidi, Abbas
Other Authors: Citrin, David S.
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2013
Subjects:
Image processing
Construction material
Brick
Concrete
Plywood
Machine learning
Support vector machines
Pattern perception
Perceptrons
Online Access:http://hdl.handle.net/1853/49122

Internet

http://hdl.handle.net/1853/49122

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