Ultrasonic image restoration method based on point spread function parameter optimization

A point spread function, ultrasound image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as ultrasound image restoration, achieve high practicability, reduce solution complexity, and avoid overfitting.

Active Publication Date: 2021-09-17
SOUTHEAST UNIV
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Problems solved by technology

Therefore, when the point spread function of the ultrasound imaging system is not accurately obtained in advance, how to restore the ultrasound image is an urgent problem to be solved

Method used

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  • Ultrasonic image restoration method based on point spread function parameter optimization
  • Ultrasonic image restoration method based on point spread function parameter optimization
  • Ultrasonic image restoration method based on point spread function parameter optimization

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Embodiment Construction

[0027] The technical solution of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0028] figure 1 It is a flowchart of the method described in this application, such as figure 1 As shown, the method includes:

[0029] Step S1: Collect an ultrasonic C-scan image, remove extreme noise points on the ultrasonic C-scan image, and obtain an ultrasonic image q to be restored.

[0030] Step S2: Iterate the ultrasound image f and the point spread function h to obtain the optimal point spread function h s 。

[0031] Specifically, the iterative solution formula of the ultrasonic image f and the point spread function h is expressed as:

[0032]

[0033] k represents the number of alternate iterations, and k=0,1,2,3...; f k and h k respectively represent the ultrasonic image and point spread function obtained in the k-th iterative solution, f k+1 and h k+1 Respectively represent the ultrasonic image and point spread funct...

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Abstract

The invention discloses an ultrasonic image restoration method based on point spread function parameter optimization, relates to the technical field of ultrasonic nondestructive testing, and solves the technical problem that an ultrasonic image cannot be restored under the condition that a point spread function of an ultrasonic imaging system is not given in advance. According to the technical scheme, the method is characterized in that an ultrasonic image and a point spread function are solved at the same time through an alternating minimization frame, and a solving part of an intermediate image in alternating minimization is completed by adopting an RL-TV algorithm; and then a particle swarm optimization algorithm is adopted to complete alternate minimization of a multi-parameter optimization solution part of the point spread function in the middle, and finally a restored ultrasonic image and the corresponding point spread function are obtained. According to the method, the point spread function of the ultrasonic imaging system does not need to be given in advance, and the point spread function of the clear image and the point spread function of the ultrasonic imaging system can be directly obtained only through the fuzzy ultrasonic image.

Description

technical field [0001] The present disclosure relates to the technical field of ultrasonic nondestructive testing, in particular to an ultrasonic image restoration method based on point spread function parameter optimization. Background technique [0002] With the continuous development of ultrasonic imaging technology, ultrasonic C-scan imaging technology is increasingly used to measure the size of internal defects in workpieces. However, affected by the resolution of the ultrasonic imaging system, the ultrasonic C-scan image is very blurry, and it is difficult to determine the accurate defect shape and size based on it. The ultrasonic image g(x,y) is generally regarded as the result of two-dimensional convolution of the real defect distribution f(x,y) and the Point Spread Function (PSF) h(x,y) of the ultrasonic imaging system: g(x,y)=f(x,y)*h(x,y)+n(x,y)#; among them, * indicates two-dimensional convolution operation, n(x,y) is the mixed Incoming image noise. The essenc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06N3/00
CPCG06T5/003G06T5/002G06N3/006G06T2207/10132
Inventor 胡建中许金堡许飞云贾民平陈启山
Owner SOUTHEAST UNIV
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