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University of Illinois at Urbana-Champaign
Automated corn kernel quality inspection using machine vision
Abstract
dc:descriptionA machine vision system was designed and developed for automatically inspecting corn kernels. This system consisted of a motor driven kernel delivery apparatus, two light-beam-based object position sensors, a strobe light, a control circuit, a video camera and a PC computer with image processing hardware and software.
Degree
thesis:*- 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 and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ni, Bingcheng
- Contributors dc:contributor
-
- Paulsen, Marvin R.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 1996 Ni, Bingcheng
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
9780591089400
AAI9702624
(UMI)AAI9702624 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/19749