  In this paper, we propose an fast method for crack detection in 3D computed
tomography (CT) images. Our approach combines the Maximal Hessian Entry filter
and a Deep-First Search algorithm-based technique to strike a balance between
computational complexity and accuracy. Experimental results demonstrate the
effectiveness of our approach in detecting the crack structure with predefined
misclassification probability.
