Author

Yohali

Date of Award

6-2005

Degree Name

Master of Science in Engineering

Department

Electrical and Computer Engineering

First Advisor

Dr. Ikhlas Abdel-Qadar

Second Advisor

Dr. Osama Abudayyeh

Third Advisor

Dr. Sherif Yehia

Fourth Advisor

Dr. Norali Pernalete

Access Setting

Masters Thesis-Open Access

Abstract

Infrared Thermogarphy (IR) is used in this project to detect subsurface conditions in concrete specimen for nondestructive testing and evaluations. This thesis goal is to bridge the gap between Infrared Testing and image analysis by developing an algorithm based on the region growing approach to segment the images and identify the voids without human interference or prior knowledge of the conditions. The segmentation algorithm starts with seed points as the hottest pixels in the image, and then regions are grown based on a neighborhood comparison criterion. The algorithm was tested on images collected from concrete specimen containing various man-made defects and also on defect-free model. The experimental work successfully identified defects from the surrounding bulk material and all the results indicate that Thermography can detect hidden defects up to 3 inches below surface.

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