Hybrid Encryption Method for Health Monitoring Systems Based on Machine Learning

Table 1

Comparison with different objects and different methods.

Name of the object	HSV method		Moment of the colour method		Gabor wavelet method		Edge gradient method		Chi-square method
	Exis.	Pro.	Exis.	Pro.	Exis.	Pro.	Exis.	Pro.	Exis.	Pro.
Roses	0.49	0.52	0.65	0.72	0.7	0.79	0.65	0.72	0.68	0.73
Dinosaur	0.45	0.5	0.8	0.84	0.8	0.85	0.70	0.78	0.75	0.82
Buses	0.4	0.49	0.68	0.75	0.8	0.87	0.75	0.8	0.8	0.9
Cars	0.55	0.6	0.68	0.74	0.68	0.75	0.69	0.74	0.68	0.71
Sun X-ray	0.5	0.58	0.75	0.81	0.7	0.77	0.65	0.71	0.65	0.7
Scenery	0.48	0.55	0.68	0.73	0.68	0.73	0.7	0.77	0.75	0.81
Spectacles	0.5	0.59	0.7	0.79	0.78	0.84	0.7	0.78	0.88	0.94
Avg. accuracy	0.47	0.547	0.68	0.768	0.75	0.8	0.7	0.757	0.76	0.801