Application of Artificial Bee Colony Optimization Algorithm for Image Classification Using Color and Texture Feature Similarity Fusion

Table 7

Class wise Average Precision and Recall rate based on different methods.

Sl no.	Image class	Color-based retrieval		Texture-based retrieval		CIR with equal weights		CIR with ABC algorithm
		Average precision (%)	Average recall (%)	Average precision (%)	Average recall (%)	Average precision (%)	Average recall (%)	Average precision (%)	Average recall (%)
1	Bus	60.5	11.54	40.33	8.35	65.50	12.31	70.50	12.99
2	Dinosaur	42.17	8.63	87.00	15.12	80.50	14.31	60.67	11.57
3	Elephant	45.50	9.24	48.17	9.68	55.50	10.83	57.17	11.11
4	Rose	35.00	7.16	88.00	15.28	84.67	14.85	60.00	11.26
5	Horse	81.00	14.41	41.83	8.61	77.50	13.96	83.17	14.68
6	Mountain	43.50	8.76	36.83	7.75	46.33	9.29	48.17	9.64
Average (%)		49.61	9.96	54.69	10.80	66.50	12.59	69.00	11.88
Standard deviation		0.134	0.026	0.207	0.035	0.173	0.022	0.174	0.017