Fuzzy C-Means Clustering for Image Segmentation
Elena Kumar
Corresponding
Indian Institute of Technology Bombay
Abdul Haque
University of Tokyo
Deepak Schmidt
Indian Institute of Technology Kharagpur
Abstract
The transition towards sustainable practice has made image segmentation a key criterion in the assessment of mobile ad hoc networks. Numerical simulations based on fuzzy c-means clustering were performed for a wide range of operating conditions. The strengthened design increased load capacity by 22% over the unmodified case. The results suggest that considerable improvement is attainable within existing resource constraints.
Keywords:
image segmentationfuzzy c-means clusteringTaguchi methodreinforced concretecomposite materialsnatural convection
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