Automation of compound microscope for the study of sheath blight of rice caused by Rhizoctonia solani Kuhn using digital image processing.

Date

4-2011

Degree

Bachelor of Science in Applied Physics

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Alexandra B Santos

Co-adviser

Darwin B. Putungan

Abstract

A PC-based automation module was constructed and installed on a manual compound microscope to quantify the infection of rice sheath blights caused by Rhi:octonia solani Kuhn using digital image processing. The focusing and positioning knobs of the compound microscope were adjusted using calibrated stepper motors controlled by a microcontroller. The light source of the microscope is an array of LEDs that is also controlled by the microcontroller. The image captured by the camera is the Rhizoctonia solani Kuhn on the rice tissue specimen. It was quantified using a color-based segmentation algorithm. Also, a Graphical User interface (GUI) was designed for controlling the compound microscope and for applying the image processing algorithm for quantifying Rhizoctonia solani Kuhn. The performance of the automated microscope was tested by comparing its measurement of the infestation with the measurement made by humans using manually operated microscope. The latter tended to overestimate the amount of infestation. This is clue to the effect of gestalt principle of human perception. This could be further minimized by improvement on the image focusing and specimen preparation.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Document Type

Thesis

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