Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks Clustering

Table 2

Comparison of evaluation index values of K-means, DPC, GA-DPC, and FOA-DPC clustering algorithms.

Methods	Index	Experimental images
		1	2	3	4	5
K-means	SEC	1793.24	1858.31	1426.70	1512.50	1549.43
	Image entropy	4.73	4.11	4.31	4.09	4.31
	Time/s	0.11	0.10	0.11	0.12	0.10
DPC	SEC	1701.49	1518.55	1590.32	1724.85	1793.05
	Image entropy	4.91	4.20	4.40	4.39	4.69
	Time/s	0.34	0.36	0.35	0.33	0.32
GA-DPC	SEC	1935.54	2188.63	2105.17	2105.01	1760.83
	Image entropy	5.04	4.39	4.72	4.50	4.77
	Time/s	40.21	39.99	40.18	40.25	40.14
FOA-DPC	SEC	1935.54	2188.63	2105.17	2105.01	1760.83
	Image entropy	5.04	4.39	4.72	4.50	4.77
	Time/s	9.54	9.40	9.39	9.42	9.50