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Document Type
Thesis - University Access Only
Award Date
1993
Degree Name
Master of Science (MS)
Department / School
Agricultural Engineering
First Advisor
Daniel Humburg
Abstract
A necessary first step in the robotic harvest of mushrooms is the identification and location of mushrooms of harvestable size in the growing bed. One way to identify and locate mushrooms is to obtain the edge map for each mushroom. The edge map may be used to abstract the attribute of interest for a particular mushroom. Several previously developed edge detection algorithm were evaluated. A new algorithm was developed to separate mushrooms by using the intensity profile of mushrooms and simple morphological characteristics of the mushroom shapes. A new way of locating the starting point for edge-tracking was developed. A computer program that, given a mushroom image, can compute the diameters of individual mushrooms was developed. Another program was developed by modifying a previously developed algorithm. These two programs and a program that implemented a previously developed algorithm were e valuated by processing real mushroom images taken from a commercial mushroom grower. The two new algorithms developed processed 93 percent of the mushrooms with a relative error in diameter estimation of less than 10 percent. The existing algorithm that was implemented was able to identify 90 percent of the harvestable mushrooms in images with a relative error in diameter estimation of 10 percent.
Library of Congress Subject Headings
Mushrooms -- Selection -- Automation
Mushrooms -- Harvesting -- Automation
Computer vision
Format
application/pdf
Publisher
South Dakota State University
Recommended Citation
Li, Yueming, "Selection of Mushrooms for Harvest Using Machine Vision" (1993). Electronic Theses and Dissertations. 5865.
https://openprairie.sdstate.edu/etd/5865