Detection of hematuria using digital image processing through lab view

Date of Publication

2014

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics Engineering

Subject Categories

Electrical and Electronics | Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Melvin K. Cabatuan

Defense Panel Member

Elmer R. Magsino

Miguel O. Gutierrez

Abstract/Summary

The main focus of the project is the detection of Hematuria in digital images from samples of urine. Digital images of urine are gathered in a clinical laboratory. The digital images are fed into the system made through Lab VIEW. Using digital image processing, the system will assess if the fed samples are or normal cases or Hematuria. The system can also identify whether samples has either Microscopic or Gross Hematura. K- means clustering will also be used to check for presence of discoloration in the urine sample.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU18390

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

xi, 103 leaves: ; illustrations (some colored) ; 28 cm.

Keywords

Hematuria; Urinary organs--Diseases; Image processing--Digital techniques

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