Gusset Plate Inspection Tool (GPIT) That Analyses Images of Gusset Plates Using Computer Vision

Gusset Plate Inspection Tool (GPIT) That Analyses Images of Gusset Plates Using Computer Vision

AN ABSTRACT OF THE THESIS OF Shravya Varakantham for the degree of Master of Science in Computer Science presented on October 24, 2014. Title: Computer Vision for Geometrical Analysis of Bridge Gusset Plates. Abstract approved: _____________________________________________________________________ Sinisa Todorovic Gusset plates are an important component of bridges. They are thick sheets of steel that join steel members together using fasteners and also strengthen their joint. Transportation agencies regularly evaluate and rate their inventories of gusset plate connections using visual inspection, which is very costly. To address this issue, we have developed a new interactive software tool, called Gusset Plate Inspection Tool (GPIT) that analyses images of gusset plates using computer vision. This tool is aimed at rapidly and accurately collecting field measurements from the images and analyzing the connection plate geometry interactively. To the best of our knowledge, this represents the first attempt at achieving accurate measurements directly from image pixels. GPIT consists of the following modules: Target detection and Perspective removal, Boundary marking, Fastener detection and grouping and Member Analysis. The result of each module acts as an input to the next. The final stage of image analysis involves a series of calculations. To address the requirement of precise output from these calculations, this tool enables human interaction. The GPIT allows two modes of analysis –automatic and manual. The former allows the user to batch process a set of images and the latter permits individual handling of a single image. GPIT has been evaluated in a user study by a set of students from both civil and computer engineering following the standard heuristics of qualitative evaluation of software systems. The response is overall positive. GPIT has been deployed and is in use by departments of transportation in Oregon, Arizona and Washington. ©Copyright by Shravya Varakantham October 24, 2014 All Rights Reserved Computer Vision for Geometrical Analysis of Bridge Gusset Plates by Shravya Varakantham A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Master of Science Presented October 24, 2014 Commencement June 2015 Master of Science thesis of Shravya Varakantham presented on October 24,2014. APPROVED: _____________________________________________________________________________________ Major Professor, representing Computer Science _____________________________________________________________________________________ Director of the School of Electrical Engineering and Computer Science _____________________________________________________________________________________ Dean of the Graduate School I understand that my thesis will become part of the permanent collection of Oregon State University libraries. My signature below authorizes release of my thesis to any reader upon request. _____________________________________________________________________________________ Shravya Varakantham, Author ACKNOWLEDGMENTS I would first like to thank my thesis advisor, Prof. Dr. Sinisa Todorovic for giving me the opportunity to work on this research project. I would also like to thank Prof. Chris Higgins for his guidance and support during the entire project time. Much of this thesis was supported by previous publications that I would like to acknowledge. Lastly, I would like to thank my family and friends, and especially my husband Prashanth, for their continuous support and motivation throughout my time completing the Masters Program. TABLE OF CONTENTS 1 Introduction .......................................................................................................................................... 1 1.1 Motivation .................................................................................................................................... 2 1.2 Problem Statement ....................................................................................................................... 3 2 Our Approach ........................................................................................................................................ 6 2.1 Software tool – Gusset Plate Inspection Tool (GPIT) .................................................................... 6 2.2 Organization of thesis ................................................................................................................... 7 3 Target Detection ................................................................................................................................... 8 3.1 Problem statement ....................................................................................................................... 8 3.2 Literature review ........................................................................................................................... 9 3.2.1 Template matching using normalized cross correlation ....................................................... 9 3.2.2 Normalized cross-correlation .............................................................................................. 10 3.3 Our approach .............................................................................................................................. 11 3.4 Challenges ................................................................................................................................... 11 3.4.1 Fasteners are detected as target disks ............................................................................... 11 3.4.2 Extreme precision needed .................................................................................................. 12 3.5 Solution description .................................................................................................................... 12 4 Perspective removal............................................................................................................................ 13 4.1 Problem statement ..................................................................................................................... 13 4.2 Literature review ......................................................................................................................... 13 4.2.1 Perspective control ............................................................................................................. 14 4.3 Our approach .............................................................................................................................. 14 4.4 Challenges ................................................................................................................................... 15 4.5 Solution description .................................................................................................................... 15 5 Boundary detection ............................................................................................................................ 17 5.1 Problem statement ..................................................................................................................... 17 5.2 Literature review ......................................................................................................................... 17 5.2.1 Canny edge detection ......................................................................................................... 17 5.2.2 HSV ...................................................................................................................................... 20 5.2.3 Morphological operations ................................................................................................... 20 5.3 Our approach .............................................................................................................................. 21 5.3.1 STEP 1 Foreground extraction ............................................................................................. 21 5.3.2 STEP 2 Edge on or off Boundary.......................................................................................... 23 TABLE OF CONTENTS (Continued) 5.4 Challenges ................................................................................................................................... 24 5.4.1 Color of the gusset plates producing a camouflage effect: ................................................ 24 5.4.2 Rust on the gusset plates at the center: ............................................................................. 24 5.4.3 Bright patches together with dark shadows: ...................................................................... 24 5.4.4 Rust creates non existing edges: ......................................................................................... 24 5.5 Solution description .................................................................................................................... 25 6 Fastener detection .............................................................................................................................. 27 6.1 Problem statement ..................................................................................................................... 27 6.2 Literature review ......................................................................................................................... 27 6.2.1 Template matching ............................................................................................................

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