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Discontinuous fringe filtering method based on shear wave transform and machine learning

A machine learning and fringe filtering technology, which is applied in the field of optical detection and optical information processing, can solve the problems of missing boundaries and inaccuracy, and achieve the effects of strong filtering ability, accurate segmentation, and accurate filtering results

Active Publication Date: 2018-12-11
TIANJIN UNIV
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Problems solved by technology

Due to the complexity of the discontinuity problem, the detected boundaries are missing and not very accurate

Method used

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  • Discontinuous fringe filtering method based on shear wave transform and machine learning
  • Discontinuous fringe filtering method based on shear wave transform and machine learning
  • Discontinuous fringe filtering method based on shear wave transform and machine learning

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Embodiment Construction

[0049] In order to overcome the deficiencies of the prior art, the present invention aims at realizing the filtering of discontinuous stripes, achieving stronger denoising capability and better filtering results. The technical solution adopted in the present invention is based on the discontinuous fringe filtering method based on shearlet transform and machine learning, by using the fuzzy C-means clustering algorithm, according to the direction and density of the discontinuous fringe graph, the discontinuous fringe graph is divided into Several sub-images divided by discontinuous dividing lines are then filtered by shearlet transform, and then the filtered results of each sub-image are added, so as to realize the filtering of discontinuous fringe images.

[0050] The discontinuous stripe filtering method based on the shear wave transformation and machine learning proposed by the present invention is applied to filter the discontinuous stripes. Specific steps are as follows:

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Abstract

The invention belongs to the technical field of optical detection and optical information processing, and is used for realizing filtering of discontinuous stripes, achieving a stronger denoising ability and a better filtering result. The technical scheme adopted by the invention is that a discontinuous fringe filtering method based on shear wave transform and machine learning includes: according to the direction and density of a discontinuous fringe pattern, the discontinuous fringe pattern is divided into several sub-images which are divided by discontinuous dividing lines by using a fuzzy C-means clustering algorithm, then the sub-images are filtered by shear wave transform, and the filtered results are added together to realize the filtering of the discontinuous fringe pattern. The invention is mainly applied to optical detection and optical information processing.

Description

technical field [0001] The invention belongs to the technical field of optical detection and optical information processing, and relates to a discontinuous fringe filtering algorithm based on shear wave transformation and machine learning. Background technique [0002] Optical interferometry has been recognized as a useful measurement technique due to its simple optics, high resolution, and ability to perform full-field measurements in a non-contact manner. With the rapid development of modern science and technology, optical interference technology has been widely studied and applied in various fields, such as vibration measurement, displacement measurement, and three-dimensional object reconstruction, which often lead to many complex optical interference fringes. Since the phase contains the information of the physical quantity to be measured, accurate phase extraction is the key to the successful application of optical interferometry. Generally speaking, there are two way...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06K9/62G06T7/136
CPCG06T7/11G06T7/136G06T2207/20024G06F18/23213
Inventor 唐晨徐文君李碧原陈明明
Owner TIANJIN UNIV
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