Image processing in dynamic analysis of risers of petroleum production with reduced-scale model in a laboratory environment

Orientador: Paulo Roberto Gardel KurkaTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia MecanicaResumo: Este trabalho apresenta o desenvolvimento de uma técnica para o registro e processamento dos sinais de movimento de um modelo reduzido de riser de produção de petróleo, com a utilização de câmeras. O processo se baseia na utilização de alvos fixados no modelo do riser e a detecção de sua posição no espaço. A aplicação da técnica proposta é baseada em uma seqüência de imagens capturadas do alvo, que informa a sua localização e padrão de movimento. É construído um software de processamento de imagens para a aplicação em laboratório. Este tem sua robustez verificada através de imagens geradas em software de simulação de ambiente 2D/3D virtual e de uma aplicação prática. A técnica utiliza conceitos de análise de imagens 2D e 3D, morfologia, visão computacional e processamento de sinaisAbstract: This work develops a technique for recording and processing the signals of movement of a reduced oil producing riser, with the use of optical cameras. It is based on the use of targets attached to the riser model, and the detection of its position in space. The application of the proposed technique is based on the sequence of images captured from the target, which are indicators of its position and pattern of movement. An image processing software is built with the purpose of laboratory usage. The validation of the software with the proposed technique is verified through 2D/3D virtual simulations as well as a practical application. The technique uses 2D/3D image analysis concepts, morphology, computer vision and signal processingDoutoradoMecanica dos Sólidos e Projeto MecanicoDoutor em Engenharia Mecânic

Guidelines To Specify A Camera For Computer Vision Measurement Of Vehicle Suspension Alignment Angles Based On The Desired Sensibility

A method to calculate the sensibility of a Computer Vision measurement system is presented in this paper. The specific mensuration done is for car wheel inclination. It will be shown that an equipment using cameras and no other clamp or accessory attached to the wheels to help the procedure to obtain angles from the steering suspension alignment by means of the wheel's images is a viable idea, but not, nowadays technologically realizable. © 2012 IEEE. IEEE Photonics Society,IEEE Wuhan Section,Optics and Photonics Society of Singapore,Wuhan University,Beijing Jiaotong UniversityJanuary, D.B., Steering Geometry and Caster Measurement, , http://www.hunter.com/pub/undercar/2573T/index.htm, website content. Title: AuthorHalderman, J.D., (2010) Automotive Steering Suspension Alignment, , Pearson5th editionHartley, R., Zisserman, A., (2004) Multiple View Geometry in Computer Vision, , Cambridge University Press2 edition April 19Trucco, E., Verri, A., (1998) Introductory Techniques for 3-D Computer Vision, , Prentice HallRyoo, S.T., Segmentation Based Environment Modeling Using a Single Image (2004) International Conference, ICIAR, Proceedings, Part I, pp. 98-105Forsyth, D.A., Ponce, J., (2003) Computer Vision. A Modern Approach, , Prentice Hal