Abstract: Based on the detection technology of CCTV (closed-circuit television) pipeline detection system, 5 different pipeline structural defect feature extraction methods are proposed to extract the texture features of the defect image, and the BSVM classifier is used to classify the feature extraction data one-to-one. The results show that the feature dimension extracted by Gabor method is much larger than GLCM and B_ GLCM, GGCM and LBP, compared with GLCM method, the efficiency of feature extraction of B_GLCM is slightly improved, but with the reduction of partition, the extraction time will gradually increase; for crack, staggered joint and corrosion, GLCM and B_GLCM have good classification effect, and the classification accuracy is more than 90%. Under the other three extraction methods, the classification accuracy is low. Considering the classification accuracy and efficiency, the B_GLCM method of partition size of 3×3 is recommended and it can extract the texture features of pipeline defects and obtain the relatively best detection results.