Abstract:In order to meet the requirements of high precision and fast measurement in the space target rendezvous and docking tasks, a fast contour feature extraction and tracking technology for the space target is proposed. Firstly, the local target region is segmented and located from the initial frame image in this algorithm and it is used as the initial value of the target continuous tracking. Then, the detection and edge thinning of the initial frame target edge feature is performed based on the initial frame target local region. Lastly, the Hough transform is used to extract the contour line of the initial frame target local edge detection and thinning image, and the best linear parameters in the four directions of the target contour are selected as the final target contour line and then the maximum gradient method is used to obtain the optimal contour feature extraction. Combining the correlation with the target scale dynamic change between adjacent frame images during the target approaching phase, the contour feature of the target in the second frame image is determined based on the prior information of the contour feature extracted from the initial frame. The current frame image position area is located according to the position of the previous frame image and then the continuous tracking of the contour region feature of the sequence image is realized by local processing. The algorithm proposed does not need to traverse the whole image and can reduce the target area to be processed greatly. It can overcome the drawbacks of the poor contour extraction due to the interference of the target image edge and low processing speed effectively and has a advantage of fast speed, high accuracy and high stability.