Research And Implementation Of Cameras Aids Rigid Body Docking

Rigid body target automatic docking technology is a hot research topic in the field of artificial intelligence. It is also a technology that large manufacturing, such as aerospace, shipbuilding and other fields is often used. Many years ago, in the implement process of rigid docking, docking work is mainly rely on manual operation, the efficiency of docking is very low. With the continuous development of computer technology and pattern recognition, machine vision put into use rigid docking area has been the trend of the Times. This paper puts forward a process research program that use cameras to aids rigid body docking.First, this paper analyzes the characteristics of docking program currently, combined with the research content of this paper, puts forward the research program that use cameras aids rigid body docking, and Set up the docking model,put forward the solution. Finally, the several different research implementation schemes are analyzed and compared, the conclusion is that the rigid body docking program proposed in this paper can be better for the connection of rigid body.In order to convenient to deal with images, this paper analyze the effect of image filtering method, and edge detection method, then selected the suitable processing method, in view of the useful information of the image is mainly on the straight line, the improved Hough transform detection algorithm was proposed, use this algorithm is efficient to extract the straight line of image, For the images of the straight line is not obvious, using the improved Hough transform detection algorithm and least square method, fitted the corresponding straight line, because the location information of the two straight line reflects the position of a rigid body, quantitative analysis of the position of the two straight line, gives the Angle and displacement that the rigid body need to move forward success docking.