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Description
Title: | Intelligent Vision System for the Detection of Protozoa on Microscope Slides |
Author(s): | O'Brien, John G., III |
Doctoral Committee Chair(s): | Reid, John F. |
Department / Program: | Mechanical Science and Engineering |
Discipline: | Mechanical Science and Engineering |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | Ph.D. |
Genre: | Dissertation |
Subject(s): | Engineering, Environmental |
Abstract: | Three approaches were evaluated for suitability in the confirmation process. These methods were then checked for correspondence between the results indicated by an expert human observer. Most texture measurements alone were not found to be useful. A heuristic method, was computationally more efficient and performed with an 80 percent accuracy. Using a neural network classifier, performance ranged from 50 to 100 percent depending on the parameters tested. Overall, the correspondence between the system and expert suggested a strong relationship to classifications of unknown objects. |
Issue Date: | 2002 |
Type: | Text |
Language: | English |
Description: | 306 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. |
URI: | http://hdl.handle.net/2142/83777 |
Other Identifier(s): | (MiAaPQ)AAI3070035 |
Date Available in IDEALS: | 2015-09-25 |
Date Deposited: | 2002 |
This item appears in the following Collection(s)
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Dissertations and Theses - Mechanical Science and Engineering
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Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois