Dimensional Analysis of Geometric Figures through Computer Vision

This paper studies the stages of planning and analysis used to determine the influence of certain factors incontrolling geometric figures dimension by computer vision. It was used as bases techniques used as image processing to inspect objects, in order to reduce measurement errors in existing manual process. It uses the 3^k factorial design where it is assessed that it´s possible of processing a digital image of a particular geometric figure whose dimensions are known. It will determine the measurement uncertainty by Monte Carlo (MMC). Finally, it was possible to reject the null hypothesis that the size does not influence the result at dimensional figure.