Study on Displacement Monitoring of Similar Material Model Based on Haplopia Image

Recently, the automation degree was low and precise was worse of model displacement monitoring during similar material model experiment. To the question, one displacement monitoring method of similar material model based on haplopia image was put forward. Firstly, the model image that collected by common digital camera was revised by strict revise model, and then a lease square ellipse center detection method based on threshold segmentation and local border detection was put forward and then was applied on precising extract of model center point, last, mark point coordinate space switching was processed based on linear switching model, switching parameters was adjusted optimization by Ceres-solver resolver, coordinate and deformation amount of mark point was obtained. The results showed that the mark point could be extracted precision, and compared with close-range photogrammetry results, the error of point position along X, Y were all about 0. 5mm, resolve results fit with practical observation, and meet all demands of surface and strata inner displacement monitoring during mine mining similar simulation studying.