Degree Type

Thesis

Date of Award

1994

Degree Name

Master of Science

Department

Electrical and Computer Engineering

Abstract

Information can be conveyed in many forms, yet it is perhaps easiest interpreted when in a visual form. The human mind has the ability to look at a scene containing complex patterns and extract particular features by considering the content of the entire image and focusing on the items of interest. The processing power, speed to decipher images, and complexity of the human brain has yet to be matched by any artificial means. Although the brain is a excellent processor and interpreter, a human can tire and become less accurate with time, potentially causing costly errors. Since consistency is especially important in inspection situations, it is desirable to automate part or all of the vision process to simplify the inspection. Thus, images can be acquired and processed to improve image quality for either human interpretation or machine perception and analysis. With image processing, it is possible to remove patterns or artifacts induced by the testing equipment, or to seek particular features for enhancement or extraction. The use of imaging technologies facilitates quantitative analysis and objective interpretation of selected parameters, especially in repetitive tasks.

DOI

https://doi.org/10.31274/rtd-180813-5578

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu

Copyright Owner

Elizabeth Maria Siwek

Language

en

Date Available

2013-12-13

File Format

application/pdf

File Size

80 pages

Share

COinS