This paper presents an application of the Mamdani type-1 non-singleton fuzzy logic system (T1 NSFLS) for a quality control process based on industrial image processing. The proposed application is used in a cutting process to obtain support plates for picture framing, the width and high of the plate are needed to obtain the quality parameters. In this system, the uncertainty is filtered by the inputs that are treated as fuzzy numbers (FN) instead of a crisp number, the inputs whose values came from the image sensor. This process happens in the feed forward and the adjustment of the error is made in the backward pass of the fuzzy system. The FN are used to find the dispersion of the corrupted measurements via the standard deviation to obtain an adjusted crisp value to make production decisions about the quality of the product. The results show that the proposed model obtains a precision of 91% when the uncertainties are in the range of one standard deviation.