Aggregated distance functions and their application in image processing
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In this paper, we propose a new method for construction of distance functions and metrics, by applying aggregation operators on some given distance functions and metrics. For some types and examples of aggregation operators, we analyze which properties of the given distance functions and metrics are preserved by such construction. We also present one possible application of the distance functions constructed in such way in image segmentation by fuzzy c-means algorithm. Other similar applications in image processing are also possible.
KeywordsDistance function Metric Aggregation operator Image clustering Fuzzy c-means algorithm
First and second authors acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia, in the frame of Project applied under No. TR 34014. Second author acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia, in the frame of Project applied under No. TR 174009.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
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