The Results of Sulfur Print Image Classification of Section Images
نویسندگان
چکیده
The article deals with mathematical and algorithmic support for sulfur prints image classification based on fuzzy sets and rules of accessories using peer inspections. In the study of the causes of unambiguous classification the authors have introduced codomains of membership function form: single classification, empty set, complete absorption and unambiguous classification. The article conceived the concept of equilibrium and nonequilibrium membership functions. The results showed unambiguous classification of 100% images. The research was carried out in 2011–2015. The proposed technique is applicable to the classification of static images to assess the structure of materials using combined methods.
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