| In recent years, the application of linear CCD has been progressed constantly. Compared with the array CCD, linear array CCD has some important characteristics, such as, simple structure, low cost, real-time transmission of photoelectric conversion signal, self scanning speed, high frequency response, and so on. The linear array CCD can be applied in the product dimension measurement, non contact detection, classification and evaluation of the surface quality, bar code, high-speed data acquisition, online grading and processing and orther fields, especially in video monitoring system, such as, ground imaging system.This thesis focuses on the redundancy of the captured images, which are shooted by the linear array CCD in the underground imaging system. Because of the influence of vehicle speed and environment, the pictures shooted by the ground imaging system have a certain gap with the real map. In order to improve the clarity and precision of the photo shooted by ground imaging system, the redundant of the shooted photo should be deleted.Based on the existing image processing techniques, from a practical point of view, this thesis proposes a related strategy and algorithms to delete redundant in scanning lines by CCD camera based on comparison of the similarity of the adjacent scanning lines. At the same times, according to the characteristics of CCD camera and the requirements of photographed images, it enhances the precision of the algorithm by adjacenting the similarity of rows, and the accuracy requirement of reducting the original image has been realized.Finally, through the experiment, this thesis analyzes the adaptability of the algorithm, and verifies the effectiveness of the algorithm. |
