Research Article

Medical Image Fusion Based on Low-Level Features

Table 1

Performance of different fusion methods for medical images.
(a)

MethodMI-1MI-2MI-3
MIMSEMIMSEMIMSE
LAP2.1780.6750.72757.7412.0680.8720.73945.7302.6090.9030.62744.14481354
DWT2.9310.8270.61179.9653.1290.9610.78754.2632.5990.8320.56553.49580383
NSCT2.1770.6200.46590.9392.8250.5840.79365.5522.7960.5660.61265.61071777
CTD5.9140.9430.66474.5003.9400.9360.83051.5554.4830.9750.67341.62849426
MSID2.1950.6160.49959.2691.5820.8440.49643.5592.2320.8480.43644.26103973
CBF4.4120.9240.77574.7742.8370.9280.77651.4072.9040.9050.62642.7221756
GFF3.2590.8870.78078.3952.1570.7680.79749.2302.6690.7510.63942.53501129
Proposed6.0320.9590.82046.0754.0630.9640.85143.4054.5740.9880.73738.04077911

(b)

MI-4MI-5MI-6

LAP2.7390.9010.60750.2712.4140.8970.65640.7212.6710.8970.61446.824
DWT2.6900.8340.53555.5602.5410.8500.61451.0702.6700.8290.55155.585
NSCT2.8240.5400.57770.2982.6840.5430.66762.5062.7930.5580.57369.043
CTD4.7790.9590.66530.3264.1010.9210.69541.1114.6730.9670.64944.490
MSID2.4310.8500.43445.3752.0930.8580.46540.9122.2930.8450.43045.553
CBF2.9450.8920.59443.7582.7650.9090.65640.5112.9280.8900.60644.624
GFF2.7620.7560.62541.9432.4620.7410.65439.2972.6420.7420.61744.171
Proposed4.8630.9740.69236.2984.1130.9940.73638.8854.6940.9880.71243.713

(c)

MI-7MI-8MI-9

LAP2.8030.9000.61346.9242.8880.9070.62442.0133.2490.7960.61433.56437
DWT2.7830.8170.55851.1252.7320.7990.55349.8973.1970.7940.49051.27275
NSCT2.9760.5770.62466.1022.9870.5840.63063.0853.3180.7790.52955.56722
CTD4.8870.9820.67739.6254.8480.9790.68337.3833.7040.8700.59347.99319
MSID2.5140.8480.43743.6822.5750.8510.46040.9353.1120.7250.44534.95961
CBF3.0430.8910.59741.7603.0750.8970.61338.1174.3780.8800.61626.81659
GFF2.7860.7550.62341.0342.8490.7550.63438.0104.0610.9100.67527.27437
Proposed4.9260.9980.72037.2914.9270.9940.71134.5634.1120.9830.70325.4412