To effectively extract the line features of an industrial CT(ICT) image, a feature extraction method based on second order Wedgelet decomposition was presented. Firstly, the definition of the Wedgelet decomposition was introduced. According to the different constitutions of second-order Wedgelet basis functions, they were divided into three kinds(same side type, neighbouring type and apart type). Depending on the spatial relationships of different kinds of second order Wedgelet basis functions, the second order Wedgelet rapid decomposition algorithm was designed. Then, based on the proposed algorithm, candidate line features at different mono-scales were extracted respectively. Finally, considering the multiscale quadtree structure, the line features were fused to get the final extraction result. The actual ICT images were used to an experiment, comparative test results show the feasibility and advance of the line features extraction method based on second order Wedgelet rapid decomposition. For applying to the ICT images, the method not only extracts effectively interest line features, but also lays a solid foundation for the feature description of the other types images.