An Advanced Otsu Method Integrated with Edge Detection and Decision Tree for Crack Detection in Highway Transportation Infrastructure

Table 1

Description of features.

No.	Feature	Description
X1	Ratio of the major axis and the minor axis	The ratio of the length (in pixels) of the major axis to the length (in pixels) of the minor axis of the ellipse that has the same normalized second central moments as the region, returned as a scalar
X2	Angle between the horizontal axis and the major axis of the ellipse	Angle between the horizontal the x-axis and the major axis of the ellipse that has the same normalized second central moments as the region, returned as a scalar
X3	Area of the region	Actual number of pixels in the region
X4	Standard deviation of the gray level in the region	Standard deviation value of the gray histogram of pixels in the region
X5	Mean of the gray level in the region	Mean value of the gray histogram of pixels in the region
X6	Third-order moment of regional grayscale	Third-order moment value of the gray histogram of pixels in the region