TY  - JOUR
AU  - Kumar, Elena
AU  - Haque, Abdul
AU  - Schmidt, Deepak
TI  - Fuzzy C-Means Clustering for Image Segmentation
JO  - Open Access Journal of Engineering Applications
PY  - 2005
VL  - 29
IS  - 1
SP  - 176
EP  - 188
AB  - 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.
KW  - image segmentation
KW  - fuzzy c-means clustering
KW  - Taguchi method
KW  - reinforced concrete
KW  - composite materials
KW  - natural convection
SN  - 3105-7004
DO  - 10.55555/oajea.2005.2901.010
UR  - https://journal.bsaps.com/article/8177
ER  -