Abstract
Although the basics of image processing were laid more than 50 years ago, significant development occurred mainly in the last 25 years with the entrance of personal computers and today's problems are already very sophisticated and quick. This article is a contribution to the study of the use of fuzzy logic methods and image fusion for image processing using LabVIEW tools for quality management, in this case especially in the jewelry industry.
Highlights
Using methods based on the properties of fuzzy logic and fuzzy sets in the computer image processing is not in the spotlight
In the literature can be found the fundamentals of fuzzy logic and fuzzy sets, i. e. in [10], refer to the sources [11], or [13]
The theory of fuzzy sets and fuzzy logic is based on the work of the so-called membership functions, it usually indicates μA(x), which describes the degree of membership of element x in fuzzy set A
Summary
Using methods based on the properties of fuzzy logic and fuzzy sets in the computer image processing is not in the spotlight. It is certainly possible to accept that this topic based on fuzzy decision making can be at least an interesting alternative, especially where some the other methods may fail or give problematic results. In the literature can be found the fundamentals of fuzzy logic and fuzzy sets, i. E. in [10], refer to the sources [11], or [13] In the literature can be found the fundamentals of fuzzy logic and fuzzy sets, i. e. in [10], refer to the sources [11], or [13]
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