EVALUATION OF QUALITY RESULTS CONCERNING IMAGE PROCESSING BASED STRUCTURAL MONITORING Rharã A. Cardoso a , Nicholas A Mota d , Flavio S. Barbosa a,b , Patricia H. Hallak a Fernando M. A. Nogueira c , Jair G.O. Borges e a Department of Applied and Computational Mechanics, Federal University of Juiz de Fora, Juiz de Fora – MG, Brazil http://www.ufjf.br/mac b Graduation Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora – MG, Brazil http://www.ufjf.br/mmc c Department of Production and Mechanics Engineering, Federal University of Juiz de Fora, Juiz de Fora – MG, Brazil http://www.ufjf.br/ep d Tutorial Educational Program of Civil Engineering, Federal University of Juiz de Fora – MG, Brazil http://www.ufjf.br/petcivil e Civil Engineering Laboratory, State University of North Fluminense, Campos dos Gotacazes - RJ, Brazil http://www.uenf.br Keywords: Structural Identification; Image Processing; Time and Frequency Domain Identification Methods Abstract. The use of image processing based structural monitoring system has increased over the last years. Professional integrated monitoring systems are been developed and, in a short time period, it is expected an augmentation of the application of this non-contact instrumentation method. In the present work, qualitative and quantitative evaluations of structural instrumentation results obtained by means of an image processing monitoring system are carried out. To this end, traditional instrumentation sensors as strain-gages and accelerometers are used in order to define benchmark solutions which are compared to image processing based results counterpart. Time and frequency domain modal identification methods, such as Ibrahim Method, Random Decrement Method, Exponential Decrement Method, Peak Picking Method and Frequency Decomposition Method, are applied to the experimental data obtained from the performed laboratory tests allowing comparisons between traditional and image processing based instrumentation.