METHOD AND SYSTEM FOR TESTING WORKING MODALITY OF THIN-WALLED MEMBER BASED ON MONOCULAR VISUAL OPTICAL FLOW TRACKING

摘要

#$%^&*AU2020101196A420200806.pdf#####Abstract of Description The present invention discloses a method for testing a working modality of a thin-walled member based on monocular visual optical flow tracking, including: establish an imaging mathematical model and an industrial camera pinhole imaging model based on a monocular visual off-plane vibration measurement device; determine a target actual displacement function; obtain a vibration sequence image of the thin-walled member, determine a target angular point; determine a displacement response signal where each the target angular point vibrates with each frame of an image; calculate an average correlation function of the displacement response signal, establish a Toeplitz matrix, and calculate a working modality parameter of the thin-walled member. A test system includes a model building module, a target actual displacement function determination module, a sequence image acquisition module, an angular point determination module, a target angular point determination module, a displacement response signal determination module, an average correlation function calculation module, and a calculation module of a working modality parameter of the thin-walled member,. The present invention significantly improves the efficiency and accuracy of the identification of the working modality parameter of the thin-walled member.Drawings of Description 101 Establishan imagingmathematicalmdelandanindustrialcamerapinhole gingm del based on a monocular visual off-planevibrationmeasurement evice 102 Determine a target actual displacement function according to an imaging mathematical mdel and an industrial camera pinhole imaging model 103 Obtain a vibration sequence image of a thin-walled member 104 I Track acharacteristic point in avibration sequence image of athin-walled 1 ember by using an optical flow matching tracking algorithm to determine an guar point 1 105 Adopt a ps eudo angular point removal algorithm to proces s a angular point remove a pseudo angular point, and determine a target angular point 1106 Determine a displacement respons e signal where each a target angular point vibrates with each frame of an image according to an actual displacement function of a target 1107 Calculate an average correlation function of a displacement response signal ss Toet -108 Establish a To eplitz matrix by using a Cov-SSI algorithm according to an average correlation function, and calculate a working modality parameter of a thin-walled member according to a To eplitz matrix FIG.1 1/6