Publication Date
2010
Document Type
Thesis
Committee Members
Fred Garber (Committee Member), Lang Hong (Committee Member), Arnab Shaw (Committee Member), Kefu Xue (Advisor)
Degree Name
Master of Science in Engineering (MSEgr)
Abstract
A low cost real time method of determining the density of grit applied to sandpaper does not currently exist. This thesis will explore three methods for determining grit density from digital image data. A means to characterize the application in terms of frequency by using direct cosine transform basis images will be explored. An RX detector algorithm to characterize the image background will be tested. A linear unmixing methodology will be developed that characterizes the proportion of glue and grit present in each hyperspectral pixel vector.
Page Count
54
Department or Program
Department of Electrical Engineering
Year Degree Awarded
2010
Copyright
Copyright 2010, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
