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

Table 2

Similarity score between query image and target database images based on color features.

Database image
Query image	Bus 1	Bus 2	Bus 3	Bus 4	Bus 5	Bus 6	Bus 7	Bus 8	Bus 9	Bus 10
Bus 1	0	10.18	9.00	7.85	11.66	9.95	10.06	8.34	7.79	8.29
Bus 2	9.14	0	8.76	9.62	9.72	8.44	9.53	8.99	9.61	8.47
Bus 3	8.07	8.55	0	7.77	8.92	8.47	9.30	8.74	8.25	7.31
Bus 4	9.77	9.92	9.19	0	11.49	9.24	10.21	9.44	9.61	8.92
Bus 5	9.59	10.14	9.28	10.71	0	11.20	11.57	10.55	9.00	10.07
Bus 6	10.45	9.11	9.36	8.92	10.48	0	9.16	8.76	10.15	7.70
Bus 7	8.86	10.14	9.07	8.73	11.12	8.53	0	7.70	9.22	7.43
Bus 8	8.22	10.44	9.44	7.92	11.34	8.58	8.68	0	8.43	7.50
Bus 9	8.52	11.62	10.79	8.96	10.30	11.21	11.40	10.03	0	9.48
Bus 10	8.12	9.05	8.45	7.43	9.67	7.52	9.14	7.65	8.10	0