The Automatic Identification Technology Of Corner Prism

With the development of social economy, the application of total station ingeological prospecting, dam, tunnel deformation monitoring and urban planning andconstruction is being increasingly extensive. Owing to the traditionalmeasurement-mode already cannot adapt to the rapid development of economicconstruction, the automatic measuring technology comes into being naturally.Nowadays, auto-total station which can sight target and measure angle and distanceautomatically has been used in foreign countries, while the domestic research in thistechnology still has a long way to go. In order to promote the domestic measurementin an automatic and intelligent direction, this dissertation conducted an in-depth studyon one of the key technologies of intellective total station--auto-recognition ofcorner prism, the research contents and conclusions are as follows:1The thesis conducts a study of the corner prism’s structural principle,retro-reflective characteristic, role in the measurement of auto-total station,and Thepaper conducts a study of telescope optical path system and imaging principles andthe factors influencing image quality according to the auto-total station’s sightingtarget principle.2the thesis has designed a image segmentation algorithm for Corner prism’s faculabased on the corner prism’s image blob characteristic and geometric configuration,and come up with a multi-facula recognition algorithm on the basis of studyingcommon recognition algorithm and edge tracking algorithm.3Based on the identification of spot, on the spot center location algorithm is commonto do a detailed study, combined with the prism spot feature extraction spot centerusing the gray weighted centroid method, and through the spot digital simulation onprecision of several spot center location algorithm, the gray weighted centroidaccuracy of0.08pixels.4The thesis has designed an experiment for auto-sighting target, verified principledsample machine’s angle measuring precision, analyzed the causes of errors and putforward some improving measures on the fundament of the built mathematical modeland parameters.