CN107886489A - The method that medical image quality is improved based on shearing wave conversion and guiding filtering technology - Google Patents

The method that medical image quality is improved based on shearing wave conversion and guiding filtering technology Download PDF

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Publication number
CN107886489A
CN107886489A CN201711262879.7A CN201711262879A CN107886489A CN 107886489 A CN107886489 A CN 107886489A CN 201711262879 A CN201711262879 A CN 201711262879A CN 107886489 A CN107886489 A CN 107886489A
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China
Prior art keywords
frequency sub
band
filtering
shearing wave
medical image
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韩晶
贾振红
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Xinjiang University
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Xinjiang University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/70Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/10Image enhancement or restoration using non-spatial domain filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20024Filtering details
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The invention discloses a kind of method for improving medical image quality based on shearing wave conversion and guiding filtering technology, comprise the following steps:Step S1, medical image is decomposed using shearing wave conversion, so as to obtain low frequency sub-band and high-frequency sub-band;Step S2, PM filtering is carried out to low frequency sub-band obtained above;Denoising is carried out to high-frequency sub-band obtained above, filtering then is guided to the high-frequency sub-band after denoising;Step S3, shearing wave inverse transformation is carried out to the low frequency sub-band by PM filtering and the high-frequency sub-band Jing Guo guiding filtering.Reach the purpose for the noise immunity for improving image definition and strengthening image.

Description

The method that medical image quality is improved based on shearing wave conversion and guiding filtering technology
Technical field
The present invention relates to field of medical image processing, in particular it relates to a kind of based on shearing wave conversion and guiding filtering skill The method that art improves medical image quality.
Background technology
The quality of medical image has critically important influence to doctor in diagnosis and therapeutic process.In the collection of medical image In transmitting procedure, image can be disturbed by various factors causes image quality decrease, and follow-up processing and application are produced Raw harmful effect.Key link of the image enhaucament as image preprocessing, there is critically important application value.
At present, image enhaucament is divided into two major classes:Spatial domain changes and frequency-domain transform.Enhancement Method based on spatial domain is directly right The whole pixel value of image is handled, although improving the overall brightness of image, reduces the contrast of image, enlarged drawing Noise as in, has flooded details.Spatial transform has:Histogram equalization, multiple dimensioned Retinex etc..Wavelet transformation is classical One of algorithm, there is the characteristics of good time domain specification and multiresolution, but it can not express directional information well.In order to gram The shortcomings that taking the limited directionality of small echo, it is proposed that much multi-scale transforms based on small echo, such as:Qu Bo (curvelet) becomes Change, profile ripple (contourlet) conversion and shearing wave (Shearlet) conversion.Shearlet is converted and contourlet conversion With similar decomposable process.Both of which can realize best approximation and multiresolution analysis.
In summary:The problem of image noise immunity is not strong, and definition is not high in the prior art be present.
The content of the invention
It is an object of the present invention in view of the above-mentioned problems, propose that one kind is carried based on shearing wave conversion and guiding filtering technology The method of high medical image quality, the advantages of improving image definition with realization and strengthen the noise immunity of image.
To achieve the above object, the technical solution adopted by the present invention is:
A kind of method for improving medical image quality based on shearing wave conversion and guiding filtering technology, comprises the following steps:
Step S1, medical image is decomposed using shearing wave conversion, so as to obtain low frequency sub-band and high-frequency sub-band;
Step S2, PM filtering is carried out to low frequency sub-band obtained above;Denoising is carried out to high-frequency sub-band obtained above, so Filtering is guided to the high-frequency sub-band after denoising afterwards;
Step S3, shearing wave inversion is carried out to the low frequency sub-band by PM filtering and the high-frequency sub-band Jing Guo guiding filtering Change.
Preferably, low frequency sub-band obtained above is carried out in PM filtering, the iterations that PM filtering is chosen is 2 times.
Preferably, above-mentioned steps S2 is carried out in denoising to high-frequency sub-band obtained above, and denoising uses cycle threshold method.
Preferably, the formula of the guiding filtering is specific as follows:
EI=ε (P-Q)+Q,
Wherein P is image to be filtered, and Q is that filtered image is smoothed image, and ε is enhancing parameter, and EI represents guiding filtering Function.
Preferably, ε=2.2.
Technical scheme has the advantages that:
Technical scheme, PM is filtered and is used for high-frequency sub-band for low frequency sub-band, guiding filtering, proposes a kind of base In the medical image new method of shearing wave conversion.By to shear wave conversion threshold value processing, to the noise that filters out of big degree, then Channeled filtering, strengthen the detailed information of image, so as to reach the noise immunity for improving image definition and strengthening image Purpose.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Fig. 1 is to improve medical image quality based on shearing wave conversion and guiding filtering technology described in the embodiment of the present invention Method obtains flow chart.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that described herein preferred real Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
As shown in figure 1,
A kind of method for improving medical image quality based on shearing wave conversion and guiding filtering technology, comprises the following steps:
Step S1, medical image is decomposed using shearing wave conversion, so as to obtain low frequency sub-band and high-frequency sub-band;
Step S2, PM filtering is carried out to low frequency sub-band obtained above;Denoising is carried out to high-frequency sub-band obtained above, so Filtering is guided to the high-frequency sub-band after denoising afterwards;
Step S3, shearing wave inversion is carried out to the low frequency sub-band by PM filtering and the high-frequency sub-band Jing Guo guiding filtering Change.
In preferred embodiment, low frequency sub-band obtained above is carried out in PM filtering, the iterations that PM filtering is chosen For 2 times.
In preferred embodiment, above-mentioned steps S2 is carried out in denoising to high-frequency sub-band obtained above, and denoising is using circulation Threshold method.
Image guiding filtering is a kind of local linear image filter, can also be had while it realizes smothing filtering good Good edge retention energy.Filtering includes image Q after navigational figure I, pending image P and processing.Wherein I and P is can With identical, the two is all gray level image.The key of guiding filtering is in office for navigational figure I and pending image P The hypothesis of portion's linear relationship.Centered on pixel k, r is the square local window w of radiuskIn, P is I linear transformation, i.e.,:
A in formulak,bkIt is the coefficient of conversion, in local window wkIn be constant value.(a is constant coefficient), this Local Linear Model ensures that filtering output image and navigational figure keep identical marginality, so this filtered image border Keep fine.
The enhancing of guiding filtering is as follows:
I.e. in preferred embodiment, the formula of guiding filtering is specific as follows:
EI=ε (P-Q)+Q,
Wherein P is image to be filtered, and Q is that filtered image is smoothed image, and ε is enhancing parameter, and EI represents guiding filtering Function.The size of ε values determines the definition of detail section, but also has an impact simultaneously to noise.Therefore ε value is critically important.
In preferred embodiment, ε=2.2.
Shearlet conversion mathematic(al) structures are simple, have higher computational efficiency.Shearing wave conversion has nonlinearity erron Degree of approximation, successively segmented in frequency space, can preferably represent performance.
In summary, it is of the invention
Finally it should be noted that:The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic. Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., it should be included in the present invention's Within protection domain.

Claims (5)

  1. A kind of 1. method that medical image quality is improved based on shearing wave conversion and guiding filtering technology, it is characterised in that including Following steps:
    Step S1, medical image is decomposed using shearing wave conversion, so as to obtain low frequency sub-band and high-frequency sub-band;
    Step S2, PM filtering is carried out to low frequency sub-band obtained above;Denoising is carried out to high-frequency sub-band obtained above, it is then right High-frequency sub-band after denoising guides filtering;
    Step S3, shearing wave inverse transformation is carried out to the low frequency sub-band by PM filtering and the high-frequency sub-band Jing Guo guiding filtering.
  2. 2. the method according to claim 1 that medical image quality is improved based on shearing wave conversion and guiding filtering technology, Characterized in that, being carried out to low frequency sub-band obtained above in PM filtering, the iterations that PM filtering is chosen is 2 times.
  3. 3. the method according to claim 1 that medical image quality is improved based on shearing wave conversion and guiding filtering technology, Characterized in that, above-mentioned steps S2 is carried out in denoising to high-frequency sub-band obtained above, denoising uses cycle threshold method.
  4. 4. the method according to claim 1 that medical image quality is improved based on shearing wave conversion and guiding filtering technology, Characterized in that, the formula of the guiding filtering is specific as follows:
    EI=ε (P-Q)+Q,
    Wherein P is image to be filtered, and Q is that filtered image is smoothed image, and ε is enhancing parameter, and EI represents guiding filtering function.
  5. 5. the method according to claim 4 that medical image quality is improved based on shearing wave conversion and guiding filtering technology, Characterized in that, ε=2.2.
CN201711262879.7A 2017-12-04 2017-12-04 The method that medical image quality is improved based on shearing wave conversion and guiding filtering technology Pending CN107886489A (en)

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CN108230279A (en) * 2018-04-08 2018-06-29 新疆大学 The medical image enhancement method being combined based on shearing wave conversion with fuzzy contrast
CN109191416A (en) * 2018-08-29 2019-01-11 西安电子科技大学 Image interfusion method based on sparse dictionary study and shearing wave
CN109584322A (en) * 2018-10-10 2019-04-05 浙江工业大学 Based on the smooth Shearlet medicine PET image denoising method of frequency domain direction

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CN106846288A (en) * 2017-01-17 2017-06-13 中北大学 A kind of many algorithm fusion methods of bimodal infrared image difference characteristic Index

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108230279A (en) * 2018-04-08 2018-06-29 新疆大学 The medical image enhancement method being combined based on shearing wave conversion with fuzzy contrast
CN109191416A (en) * 2018-08-29 2019-01-11 西安电子科技大学 Image interfusion method based on sparse dictionary study and shearing wave
CN109584322A (en) * 2018-10-10 2019-04-05 浙江工业大学 Based on the smooth Shearlet medicine PET image denoising method of frequency domain direction
CN109584322B (en) * 2018-10-10 2023-12-26 四川省工程装备设计研究院有限责任公司 Shearlet medical PET image denoising method based on frequency domain direction smoothing

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Application publication date: 20180406