Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach

Table 1

Prediction result comparison.

Models	Mean of CAR (%)						Standard deviation (std) of CAR (%)
	AC	DC	LC	NC	TC	Overall	AC	DC	LC	NC	TC	Overall
CTree	78.00	70.75	88.00	62.00	83.50	76.45	9.09	10.17	8.65	9.92	7.80	2.98
LDA	78.75	81.50	96.75	58.75	93.00	81.75	9.72	7.45	4.94	14.04	6.37	4.13
NBC	78.75	83.00	96.50	59.25	94.00	82.30	7.93	6.37	6.51	11.04	4.76	3.51
BPANN	80.75	94.75	95.50	72.25	93.00	87.25	9.36	4.99	5.36	9.52	5.23	2.61
DFP-LSSVM	91.50	97.50	99.25	81.00	97.75	93.40	6.51	3.03	1.83	10.59	3.43	2.62