Presented a fuzzy system to determine barberry product quality based on average color spectra by image processing

In recent years much research in the field of classification and classification of crops based on characteristics using image processing have been done in this study to determine the level of product quality barberry impurities and the degree of quality we have to use image processing. If the first 100 samples from 10 barberry product quality without gross as the primary data and CMY color mode of the desired color spectrum of each color we set average on the basis of each color a spectrum of color input and output fuzzy variables and fuzzy sets to suit them and determine the appropriate fuzzy rules created brought, then 300 samples of barberry product images with different quality as test data in ourselves and in when testing for accuracy system designed to enhance the image into blocks K*K and the quality of each block based on fuzzy systems implemented quality level of each block separately, and finally we calculate the average rate of making all the block every image quality, the quality of the final product are determined barberry. Based on the experimental results observed by this method was more efficient than previous methods and 98.6% of high precision quality products will determine the barberry.