1. A method performed by a processor for evaluating a fabric, the method comprising: capturing an image of profile of said fabric; processing the image to obtain dimensional and quantitative characteristics of outliers of said fabric; calculating statistical parameters of protrusions in said outliers; and grading the fabric based on said calculated statistical parameters by a neural network computation platform, wherein said grading comprises selection by said neural network computation platform a grade determined by a probabilistic neural network having a highest value of grading quality according to a selection criteria, the selection criteria based on a coincidence between a data set of expert grades and grades given by said probabilistic neural network during a training process of said probabilistic neural network.