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Document Type

Thesis - University Access Only

Award Date


Degree Name

Master of Science (MS)

Department / School

Electrical Engineering

First Advisor

Daniel S. Humburg


As a precursor to mechanical mushroom harvesting, it is necessary to identify and locate mushrooms of harvestable size. A new Hough Transform-based algorithm was developed for machine vision, to determine the centroids of mushrooms belonging to harvestable size ranges. Image preprocessing techniques such as thresholding and a form of run-length filtering were used before the application of a variation of the Hough Transform on the image. The algorithm was implemented on a TMS320C30 digital signal processor hosted on a frame grabber board. It gave good results with test runs made on six frames of mushroom images. Ninety percent of the mushrooms belonging to selected categories were identified by the new Hough Transform-based algorithm.

Library of Congress Subject Headings

Mushrooms -- Selection -- Automation
Mushrooms -- Harvesting -- Automation
Computer vision
Image processing -- Digital techniques




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