Method and system for processing Laue diffraction picture
A picture and preprocessing technology, applied in the direction of image data processing, image enhancement, image analysis, etc., can solve the problem of low reliability, achieve the effect of writing simple and accurate data processing methods, and improving calculation accuracy
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Embodiment 1
[0065] A kind of method of processing Laue diffraction picture provided according to the present invention comprises:
[0066] Step M1: Measure the diffraction observation pattern and the diffraction reference pattern based on the Laue experiment;
[0067] Step M2: Preprocessing the diffraction reference pattern and the diffraction observation pattern to obtain the preprocessed diffraction observation pattern and diffraction reference pattern;
[0068] Step M3: Based on the preset elastic deformation gradient tensor, register the preprocessed diffraction reference pattern and the diffraction observation pattern using the global integrated digital image coherence technology, and obtain the elastic deformation gradient tensor of the diffracted region after registration;
[0069] Step M4: Obtain the elastic stress in the diffracted sample based on the obtained elastic deformation gradient tensor of the diffracted region after registration;
[0070] The Laue diffraction observati...
Embodiment 2
[0108] Embodiment 2 is a modification of embodiment 1
[0109] The present invention relates to the method for extracting sample local stress strain from Laue (Laue) diffraction pattern, such as Figure 7 shown, applicable to all Laue diffraction experiments. The present invention is based on the diffraction pattern (Laue diffraction pattern) measured by Laue experiment, and adopts the global integrated digital image coherence technology (Integrated Digital Image Correlation) to register the reference pattern and the observation pattern. In the registration process, an objective function is set up to characterize the difference between the two types of images. The eight parameters sought are the elastic deviatoric deformation gradient tensor, and the Newton algorithm is used to correct the parameters, and the objective function is gradually reduced to Converge to obtain the local stress-strain of the sample. The invention has the advantages of simple code writing, fast conve...
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