Phase information extraction method, storage medium and equipment based on convolutional neural network

A technology of convolutional neural network and phase information, which is applied in the field of phase information extraction based on Hypercolumns convolutional neural network, can solve the problem that closed fringe images cannot accurately extract phase information, and achieve improved phase extraction accuracy, accurate phase extraction function, The effect of improving network performance
CN112116616BActive Publication Date: 2022-06-07XI AN JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Publication Date
2022-06-07

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Abstract

The invention discloses a phase information extraction method, storage medium and equipment based on a convolutional neural network, constructs a Hypercolumns convolutional neural network model, analyzes and predicts interference fringe images to obtain corresponding phase data; uses sine / cosine respectively The phase data in the sample set is generated by four different mathematical functions of the shape data set, the quadric surface data set, the wavy data set and the free-form surface data set, and then the interference image corresponding to the phase data is obtained by the light intensity distribution formula of the interference fringe image, etc. After the samples are generated, N sets of data in the training set and M sets of data in the verification set are formed; then, based on all the generated sample data, the Hypercolumns convolutional neural network model is trained; the polynomial 3D surface fitting method is used to eliminate the initial hypercolumns convolutional neural network. Predict the local error of the result and realize the optimization of the phase extraction result. The invention has fast processing speed and high phase extraction precision, and can realize the phase extraction function of a single-frame interferogram.
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Description

technical field

[0001] The invention belongs to the technical field of interference fringe image processing in the field of three-dimensional contour precision measurement, and particularly relates to a phase information extraction method, storage medium and device based on a Hypercolumns convolutional neural network. Background technique

[0002] Optical 3D profilometry technology is widely used in industrial manufacturing, reverse engineering, aerospace, medical diagnosis and other fields. It has the characteristics of non-contact, high precision and high resolution, and is recognized as one of the most promising profilometry methods. There are many methods to achieve optical profilometry, including time method, structured light method, projection method, interferometry, etc. In the interferometric measurement process, the test light is reflected by the workpiece and interferes with the reference light to form an interference fringe pattern carrying the surface shape infor...

Claims

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