Translation invariance shearler transformation medical image denoising method

A translation invariance, medical image technology, applied in the field of medical ultrasound image denoising, can solve the problem of excellent performance and difficult to promote data space and so on

Inactive Publication Date: 2016-11-23
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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Problems solved by technology

Wavelet analysis lays the foundation for the sparseness of signals and images. Wavelet transform can optimally approximate the zero-Vitch heterogeneity, but its excellent performance is difficult to

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  • Translation invariance shearler transformation medical image denoising method
  • Translation invariance shearler transformation medical image denoising method
  • Translation invariance shearler transformation medical image denoising method

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[0097] Example 1

[0098] Such as figure 1 As shown, a translation-invariant shearer transform medical image denoising method of this embodiment, such as figure 1 As shown, including the following steps:

[0099] 1) The envelope signal of the noise image is collected by the noise imaging system, and the medical ultrasound image model is established through logarithmic transformation; after the two-dimensional discrete shearlet transform, the two-dimensional discrete shearlet coefficients are obtained, and the two-dimensional discrete shearlet coefficients include no noise Image two-dimensional discrete shearlet coefficients and speckle noise image two-dimensional discrete shearlet coefficients;

[0100] 2) The logarithmically transformed medical ultrasound image model obtained in step 1) is decomposed in multi-scale and multi-direction using the pyramid filter bank to obtain k+1 sub-band images equal in size to the medical ultrasound image model. The sub-band image includes a low-...

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Abstract

The invention discloses a translation invariance shearler transformation medical image denoising method. The method comprises the following steps that 1, a noise imaging system is used for collecting envelope signals of a noise image, and a medical ultrasound image model is built; 2, the medical ultrasound image model obtained after logarithm transformation is subjected to a multi-scale multi-direction decomposition through a pyramid filter bank; 3, the two-dimensional discrete shearlet transformation coefficient of each subband image medium-high frequency part obtained in the step 2 is subjected to threshold value method self-adaptive shrinkage; 4, a guider filter is used for filtering the shearlet coefficient of the low-frequency part in the step 2; 5, all the coefficients processed in the steps 3 and 4 are subjected to shearlet inverse transformation, and a denoised medical ultrasound image is obtained. The guide filter is used for filtering the low-frequency part, and the operation time problem of a trilateral filter is solved.

Description

technical field [0001] The invention relates to a translation-invariant shearer transform medical image denoising method. The invention belongs to the field of medical ultrasonic image denoising. In particular, it refers to a shearlet transform medical image denoising method suitable for medical ultrasound images based on translation invariance. Background technique [0002] In the field of medical imaging, imaging technologies such as ultrasound imaging, CT, and MRI have been applied in medical clinical diagnosis. The application of ultrasonic diagnosis as a diagnostic technique in medical diagnosis began with the advent of gray-scale ultrasound in 1972. Especially in recent years, ultrasonic diagnosis has been widely used in medical clinical diagnosis, mainly because: [0003] 1) Ultrasound is non-ionizing radiation, which is harmless to the human body and can visually display the morphology and structure of human organs and tissues; [0004] 2) Ultrasound has a high re...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002
Inventor 张聚程义平刘敏超柴金良
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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