A knowledge-based machine vision system for grain quality inspection

A knowledge-based machine vision system was developed for automatic corn quality inspection. This system consisted of a primitive feature extraction algorithm, several quality-related feature extraction algorithms, and several knowledge-based corn quality inspection algorithms. The feature extraction and corn quality inspection algorithms were developed and their performance evaluated.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Liao, Ke

Contributors dc:contributor

• Paulsen, Marvin R.

• Agriculture, Food Science and Technology
• Engineering, Agricultural
• Artificial Intelligence

Statement dc:rights

• Copyright 1993 Liao, Ke

Language dc:language

eng

Identifier

AAI9329098
(UMI)AAI9329098

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/21338