Gray Evaluation Model of Image Segmentation Based on Combinational Weighting

Table 1. Weight of measures
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Table 1. Weight of measures
Coefficient PRI GCE VOI
e 0.9071 0.8510 0.8777
β 0.255 0.409 0.336
α 1/3 1/2 1/6
w 0.2460 0.5919 0.1621

Table 2. Weight-decided table in Delphi-FD method
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Table 2. Weight-decided table in Delphi-FD method
Measure PRI GCE VOI k α
PRI 2 1 3 6 1/3
GCE 3 2 4 9 1/2
VOI 1 0 2 3 1/6

Table 3. Total rank of segmented Fig.1 (b)-(h)
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Table 3. Total rank of segmented Fig.1 (b)-(h)
Test Fig.1(b) Fig.1(c) Fig.1(d) Fig.1(e) Fig.1(f) Fig.1(g) Fig.1(h)
Score 0.9878 0.1350 0.1157 0.0620 0.0438 0.0232 0.0122
Rank 1 2 3 4 5 6 7

Table 4. Rank of image segmentation quality of three algorithms

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Table 4. Rank of image segmentation quality of three algorithms

Method	T	PRI	GCE	VOI	Entropy	Value	Rank
FPA		1	0	0	11.9765	0.9878	1
GA	2	0.9281	0.2002	1.9668	11.9682	0.031	2
SFLA		0.9163	0.2148	2.1717	11.9603	0.0122	3
FPA		1	0	0	15.2431	0.9878	1
GA	3	0.9839	0.2483	2.4976	15.2387	0.1359	2
SFLA		0.9641	0.3186	3.4352	15.1126	0.0122	3
FPA		0.9739	0.3171	3.2774	18.0921	0.9878	1
GA	4	0.9416	0.3711	4.2518	18.0176	0.0261	2
SFLA		0.9327	0.3745	4.3318	17.8650	0.0122	3

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Jingjing Xue, Xingshi He, Ying Feng, Feiyue He. Gray Evaluation Model of Image Segmentation Based on Combinational Weighting[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061008

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