| The under-well video imaging system is used to obtain the visible information of oil extraction pipelines directly, which is one of the third-generation oil field measurement technologies.In this thesis, the digital image capture and processing technology is successfully introduced to improve the image quality of an old under-well analog video imaging system. In order to decrease the cost of each maintenance, an under-well temperature measurement module is also designed to obtain the temperature data at the same time of image capture.During this improvement, the temperature measure and the compensation of the stretch of the cable is considered carefully. We have discussed in detail the reasons of the poor imaging quality of the old system. Correspondingly, our research works were focused on the image enhancement and distortion correction based on the raw video data collected from the oil field. The evolutionary algorithms was introduced to locate the centre of the circle quickly, which is essential to compensate the movement of the camera in the future.An imaging application is also developed with visual C++ 6.0, which can capture, process, store and display the video of the camera real time. The depth and temperature measurement modules are also integrated in this application. The depth and temperature data is collected through the serial communication port and displayed on the screen. |