Oil Pipeline Leak Detection Based On Image Recognition

This paper studies the design of leak detection design for oil pipeline based on image recognition technology. The basic steps of the process are as follows: Firstly, by using the image processing function of MATLAB software, the oil pipeline images collected are processed, such as preprocessing, image recognition and segmentation, image morphological processing and so on. Finally, the leakage of oil pipeline is judged according to the test results. In the preprocessing part, gray processing is mainly performed, which can speed up the processing and improve the accuracy of recognition. The image segmentation section is selected using threshold segmentation. In the image morphology processing part, the edge contour obtained by the image segmentation part can be more clearly defined by the etching and expansion operation. The final output of the design is divided into three parts, one in which there is no leakage. In the other two cases, when a leak is detected, the degree of leakage is divided into a slight leak and a serious leak, which helps the tester to understand the leak more clearly and improve the practicability of the design.