Bridge crack image segmentation based on improved watershed algorithm
Liang Zhang, Wenguang Luo, Yani Xu · 2018
In order to solve the problem of over - segmentation of bridge fractures by the watershed algorithm, an improved watershed segmentation algorithm based on threshold marker is proposed. Firstly, the original gradient image is obtained from the gray image by using morphological operation, and the second - order Butterworth low - pass filtering is performed on the original gradient image to obtain the low - frequency component of the gradient image. And then apply the best threshold for the use of Otsu method to be applied to the morphological extended minimum transform technique, and the technique is used to extract the local minimum value which is highly correlated with the bridge crack feature information from the low frequency components of the gradient image; Finally, the original gradient image is used to compose the minimum gradient of the original gradient image to obtain the modified gradient image, and watershed segmentation is performed on these gradient images. The experimental results show that the crack image of the bridge is accurate and clear, and the over - segmentation phenomenon is effectively reduced.