CN103873830B - Fujinon electronic video endoscope image system and fujinon electronic video endoscope image processing method - Google Patents
Fujinon electronic video endoscope image system and fujinon electronic video endoscope image processing method Download PDFInfo
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Abstract
The present invention relates to a kind of digital medical image system, and in particular to a kind of fujinon electronic video endoscope image system and image processing method.A kind of fujinon electronic video endoscope image system, including front end endoscope, image processing board, video-frequency monitor, described image process plate are integrated with video acquisition and coding circuit, DSP Processor, video decoding and drive amplification circuit；The ccd image sensor output signal connection video acquisition and coding circuit of the front end endoscope, video acquisition and coding circuit output the connection DSP Processor, the DSP Processor output connection video decoding and drive amplification circuit, the video decoding and drive amplification circuit connect video-frequency monitor by video output interface；A kind of fujinon electronic video endoscope image processing method, the image information gathered using wavelet transformation with threshold value shrinkage method to ccd image sensor is pre-processed, and is carried out image denoising and enhancing processing, is obtained enhanced image, then encoding and decoding processing is carried out to image, and shown by video-frequency monitor.
Description
Technical field
The present invention relates to a kind of digital medical image system, specifically, relate to a kind of fujinon electronic video endoscope image system
And image processing method.
Background technology
Digital medical image processing is national healthcare system development and modern medical equipment with fujinon electronic video endoscope Clinics
The direction of construction, and improve the important means of Level of Hospital Management, operational efficiency and quality of medical care.
Fujinon electronic video endoscope image system organically blends the technologies such as computer, microelectronics, Digital Image Processing, is peeped by interior
Mirror front end sensors gather picture signal, are handled by high clear video image, enable the clinician to observe directly human viscera organ
Tissue morphology, internal lesion situation, can for clinical diagnosis, the state of an illness tracking and determine therapeutic scheme important evidence be provided.With
The improvement raising that country payes attention to building public health system and sanitary condition at different levels, fujinon electronic video endoscope improves as situation of all-level hospitals
The Main Means of diagnosis and treatment condition and extensive use, will be that modern medicine development bring breakthrough, various difficult and complicated illness can also obtain standard
True diagnosis and treatment.
External fujinon electronic video endoscope technology is relatively ripe, but product technology has monopoly and confidentiality.In China
High-end electronic endoscope relies primarily on imported product, because equipment price is expensive, phenomena such as causing current the difficulty of getting medical service and high price,
The medical level in China and the health of the people are had a strong impact on.The Development Level of domestic fujinon electronic video endoscope falls behind relatively, pushes away
Go out that product is few and class is relatively low, higher diagnosis requirement can not be met.
Therefore, fujinon electronic video endoscope image system and its application are studied by combination involving production, teaching ＆ research mode, exploitation can substitute into
The hyundai electronicses endoscopic images product of mouth, the development of related industry and technology can be driven, reduced and international advanced technology
Gap, to improving China's medical level, quality of improving the people's livelihood has active influence.
Meanwhile fujinon electronic video endoscope image system requires the digital signal processing capability of high speed, high resolution CCD image
Sensor carries out IMAQ, and image processing circuit is handled endoscope picture signal, information storage and video image are caught
The image processing function such as catch, amplify, showing.The image of doubtful point and lesions position can be chased after by image procossing and management
Track, position, freeze, amplifying, storing, reproducing, implementing pretherapy and post-treatment Contrast on effect, there is provided effective case-data, and can be
Check provides good foundation.More for the technology of image procossing at present, technology is also more ripe, but for initial image information
Noise reduction process, be still the critical process concerned to later stage graphics process.
Wavelet transformation is the succession and development of conventional Fourier transform, because the multiresolution analysis of small echo has well
Spatial domain and frequency domain localization property, to high frequency using gradually fine time domain or spatial domain step-length, analysis pair can be focused on
Any details of elephant, it is therefore particularly suited for the processing of this kind of non-stationary information source of picture signal, it has also become a kind of signal/image
The new tool of processing.At present, wavelet analysis has been successfully applied for signal transacting, image processing, voice and Image Coding, language
Sound, which identifies, to be extracted and rebuilds with synthesis, multi-scale edge, divides the scientific domains such as shape and DTV.
The image come is gathered in reality and often contains much noise, these noises are mainly distributed on the small chi of wavelet transformed domain
Spend on wavelet coefficient, and these detail coefficients also contains substantial amounts of image detail information, traditional method is considered not noise
Foot, simply simple to strengthen detail signal, there is the problem of noise amplification.Therefore, how image is effectively handled,
It is directly connected to the quality of image of acquisition.
The content of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of fujinon electronic video endoscope image simple in construction, practical
System, preferable core drive can be provided by video image application of minimum cost；
Invention also provides a kind of fujinon electronic video endoscope image processing method, is mainly received using wavelet transformation and threshold value
The image information that contracting method gathers to ccd image sensor pre-processes, and image de-noising and enhancement processing is carried out, so as to improve
The quality of picture signal.
To achieve these goals, the technical solution adopted in the present invention is：
A kind of fujinon electronic video endoscope image system, including front end endoscope, lighting source, image processing board, video-frequency monitor,
The front end endoscope output signal connects image processing board, described image process plate output connection video-frequency monitor, the figure
As process plate is integrated with video acquisition and coding circuit, DSP Processor, video decoding and drive amplification circuit and including interface
Peripheral circuit including circuit, power circuit；The ccd image sensor output signal connection video acquisition of the front end endoscope
And coding circuit, video acquisition and coding circuit output the connection DSP Processor, the DSP Processor output connection video
Decoding and drive amplification circuit, the video decoding and drive amplification circuit connect video-frequency monitor by video output interface.
The DSP Processor uses the DM365 double-nuclear DSP processors of TI companies, and video acquisition and coding circuit, which use, to be regarded
Frequency decoder TVP5150, the input of the ccd image sensor output signal access Video Decoder TVP5150 are described to regard
Frequency decoder TVP5150 output encoded video connection DSP Processors.
The video decoding and drive amplification circuit include D/A conversion circuit, the DSP Processor DAC tetra-
Lead-out terminal connects D/A conversion circuit all the way respectively, and video monitor is connected by the D/A conversion circuit
Device.
Described fujinon electronic video endoscope image system, including audio coding decoding circuit, the audio coding decoding circuit is using collection
Into circuit TLV320AIC23BPW, the DSP Processor exports audio signal is by transmitted in both directions level translator connection audio
Coding-decoding circuit, multi-clock generator, the multi-clock generator are connected with the audio coding decoding circuit clock input
Using IC chip PLL1705DBQ, the multi-clock generator output connects the audio coding decoding circuit.
Described fujinon electronic video endoscope image system, containing clock division circuits, the clock division circuits uses CPLD devices
Part XC2C128, the CPLD devices XC2C128 connect DSP Processor, video respectively by corresponding function port and control port
Encoder TVP5150 and expanding communication interface circuit.
A kind of fujinon electronic video endoscope image processing method, its step include：First, to the image of ccd image sensor collection
Information is pre-processed, and AWB, automatic exposure and the automatic focusing of image is completed, then to the image by pretreatment
RGB or yuv format video image are formed after carrying out encoding and decoding processing, then height is directly displayed at by VGA or S-Video interfaces
On resolution display, wherein unlike the prior art：Using wavelet transformation and threshold value shrinkage method to ccd image sensor
The image information of collection is pre-processed, and carries out image denoising and enhancing processing, step are as follows：
1) noisy image is subjected to wavelet transformation on each yardstick, retains whole wavelet systems under large scale low resolution
Number；
2) for the wavelet coefficient under each yardstick high-resolution, a threshold value is set, amplitude is less than the wavelet systems of the threshold value
Number is set to 0, and amplitude is more than the wavelet coefficient reservation of the threshold value or is punctured into the difference of the wavelet coefficient and threshold value；
3) setting enhancing coefficient, the wavelet coefficient obtained to every layer carries out enhancing conversion, to the small echo Jing Guo above-mentioned processing
Coefficient carries out inverse wavelet transform, i.e., image is reconstructed, obtains enhanced image.
Described fujinon electronic video endoscope image processing method, it is to the step of noisy acoustic image progress wavelet transformation：For picture
Vegetarian refreshments number is N noisy image X, if N=2J, resolution ratio L (0≤L are obtained using the Mallat fast algorithms of orthogonal wavelet transformation
<J scale coefficient { the V under)L,k, k=1,2 ..., 2L, and the wavelet coefficient { W under each resolution ratioj,k, j=L, L+1 ..., J-
1, k=1 ..., 2j, wherein scale coefficient and wavelet coefficient are N number of altogether, and wherein N, J, L, K are natural number；Using periodic extension side
Method handles border.
Described fujinon electronic video endoscope image processing method, the step of being handled by threshold shrinkage wavelet coefficient, is such as
Under：To keep the global shape of image constant, retain all low frequency coefficient VL,k, k=1,2 ..., 2L；Take threshold valueσ is the standard deviation power of noise (measurement) of picture noise, to each wavelet coefficient, using soft-threshold and
The method that hard -threshold is combined is handled：
Soft-threshold：
I.e. by the wavelet coefficient of the image of Noise compared with selected threshold value λ, the point more than threshold value is punctured into
The difference of the point value and threshold value；Less than threshold value opposite number point be punctured into the point value and threshold value and；Amplitude is less than or equal to threshold value
Point vanishing.
Hard -threshold：
I.e. the absolute value of the wavelet coefficient of noisy image compared with selected threshold value λ, the point less than threshold value becomes
It is zero, the point more than or equal to threshold value keeps constant.
Described fujinon electronic video endoscope image processing method, the wavelet coefficient obtained to every layer carry out the step of enhancing converts such as
Under：With reference to the foregoing processing to wavelet coefficient, if enhancing coefficient Wv,i, wherein, v is scale coefficient, i values 1,2,3, generation respectively
Table HH, HL, LH sub-band images, enhancing conversion is carried out to the wavelet coefficient that every layer obtains：
Then, inverse wavelet transform is carried out：Done by all low frequency scale coefficients and via the wavelet coefficient after threshold process
Inverse wavelet transform is reconstructed, the estimate for the primary signal being restored.
The positive beneficial effect of the present invention：
1st, fujinon electronic video endoscope image system of the present invention, setting for circuit board is realized using DSP embedded+ARM double-core SOC technologies
Meter, there is the characteristics of small volume, integrated level are high, locomotivity is strong, support Ethernet interface.The circuit board of design has efficiency high,
Perform the features such as speed is fast, and real-time is good, reliability is high, strong environmental adaptability, and system cost is low.Using DSP+ARM double-cores
The framework new technology of processor, preferable core drive can be provided by video image application of minimum cost；Possess efficient
Disposal ability, it can meet to HD image quality and real-time requirement.
2nd, fujinon electronic video endoscope image system and image processing method of the present invention, using HD video encoding and decoding standard of new generation
H.264, signal to noise ratio is high, and good compression property, network compatibility is good, makes H.264 to be more suitable for real-time high-definition, Internet video communication.
Multi-format, the encoding and decoding of multi tate HD video and H.264 efficient image algorithm can be completed, is easy to image information storage, management
Or transmission, support high-definition liquid crystal real-time display.Using the SOC processors with H.264 coding/decoding capability, can quickly realize more
Media image processing function, efficiently solves the problems, such as HD video treatment technology.
3rd, fujinon electronic video endoscope image system of the present invention, including various interfaces, possess high speed network transmission function, can be achieved remote
Journey terminal synchronous transfer video image information.The Telemedicine System function of being realized using the network communications technology, using the teaching of the invention it is possible to provide real
When fine definition medical image, meet long-distance video IMAQ, expert consultation, treatment and nursing, carry out clinical religion
The activities such as, net cast and the study of medical advanced technology.It can be applied to modern medicine clinical diagnosis, remote medical consultation with specialists and teaching
Research.
4th, fujinon electronic video endoscope image system of the present invention, applying electronic message area new technology, solve digital medical image and set
Standby key technical problem, developing digital medical electronic endoscopes image system, properties of product are reliable, cost-effective, operation letter
Just, it is easy to promote, there is information-based, digitlization, the outstanding feature of networking, accelerates update and the state of medical imaging product
Productionization, be advantageous to improve medicine equipment industry competitiveness and sustainable development.Research meets national actively development Medical high-tech
Direction and requirement, product there is very high cost performance, huge economic and social benefit can be brought.
5th, fujinon electronic video endoscope image processing method of the present invention, by being pre-processed to the image information that CCD is gathered, complete
AWB, automatic exposure and the automatic focusing of image, form RGB or yuv format video image after encoding and decoding are handled,
Directly displayed on high resolution displays by VGA or S-Video interfaces.Small echo is used to the image information of CCD collections
Conversion and threshold value shrinkage method carry out denoising enhancing processing, can strengthen the details coefficients of image in the range of different frequency, protrude not
With the details of yardstick, so as to improve the visual effect of image.
Brief description of the drawings
Fig. 1：The structural representation of fujinon electronic video endoscope image system of the present invention.
Fig. 2：Video Decoder is connected electrical schematic diagram with DSP Processor.
Fig. 3：Coding and decoding video and amplifying circuit (D/A conversion circuit) schematic diagram.
Fig. 4：Audio coding decoding circuit theory diagrams.
Fig. 5：The frequency source and Interface Expanding circuit diagram of PLD composition.
Embodiment
Below by embodiment, technical scheme is described in further detail.
Embodiment 1
As shown in figure 1, fujinon electronic video endoscope image system of the present invention, including front end endoscope, lighting source, image procossing
Plate, video-frequency monitor, the front end endoscope output signal connect image processing board, described image process plate output connection video
Monitor, is integrated with video acquisition in described image process plate and coding circuit, DSP Processor, video decoding and driving are put
Big circuit and the peripheral circuit including interface circuit, power circuit；The ccd image sensor of the front end endoscope is defeated
Go out signal connection video acquisition and coding circuit, video acquisition and coding circuit output the connection DSP Processor, the DSP
Processor output connection video decoding and drive amplification circuit, the video decoding and drive amplification circuit are connect by video frequency output
Mouth connection video-frequency monitor.
Embodiment 2
The fujinon electronic video endoscope image system of the present embodiment, it is the further reality on the basis of embodiment 1 referring to Fig. 1, Fig. 2
Apply scheme：The DSP Processor uses the DM365 double-nuclear DSP processors of TI companies, and video acquisition and coding circuit use video
Decoder TVP5150, the input of the ccd image sensor output signal access Video Decoder TVP5150, the video
Decoder TVP5150 output encoded video connection DSP Processors.
DM365 double-nuclear DSP processors, the various video formats of ultrahigh resolution are supported, can be in digital video design
Effectively solves the problems such as various video formats, network bandwidth, system memory size.DM365 includes an ARM926 reduced instruction
CPU, including video front processing subsystem (VPFE) and Video back-end processing subsystem (VPBE) can be to videos and image
Data carry out H.264, the encoding and decoding of MPEG, jpeg format, support the OSD of hardware.
Embodiment 3
Referring to Fig. 1~Fig. 3, the fujinon electronic video endoscope image system of the present embodiment, the difference of itself and embodiment 2 is：
The video decoding and drive amplification circuit include D/A conversion circuit, described tetra- lead-out terminals of DSP Processor DAC
D/A conversion circuit all the way is connected respectively, and video-frequency monitor is connected by the D/A conversion circuit.
Embodiment 4
Referring to Fig. 1~Fig. 4, the fujinon electronic video endoscope image system of the present embodiment, unlike embodiment 2 or embodiment 3：
Audio coding decoding circuit is connected with DSP Processor, the audio coding decoding circuit uses integrated circuit
TLV320AIC23BPW, the DSP Processor exports audio signal is by transmitted in both directions level translator connection audio coding decoding
Circuit, multi-clock generator is connected with the audio coding decoding circuit clock input, the multi-clock generator is using collection
Into circuit chip PLL1705DBQ, the multi-clock generator output connects the audio coding decoding circuit.
As shown in figure 5, fujinon electronic video endoscope image system of the present invention, containing clock division circuits, the clock division circuits
Using CPLD devices XC2C128, the PLD XC2C128 is connected respectively by corresponding function port and control port
Connect DSP Processor, video encoder TVP5150 and expanding communication interface circuit.Processor rear end video frequency output supports high definition to regard
Frequency interface, can real-time display full resolution video image.Video image is possibly stored to hard disk or SD card, or is sent by network
To terminal digital device, imaging operations management is carried out.High-resolution image information can be obtained using ccd image sensor, schemed
As the analog signal digital that coding-decoding circuit will collect, and by core processor image is handled, stores, manages,
Final output is to monitor.
The present invention uses the framework new technology of DSP embedded+ARM dual core processors, possesses efficient disposal ability, can be with
Minimum cost provides preferable core drive for video image application, can efficiently complete to HD image quality and fast in real time
The requirement of speed.With small volume, integrated level is high, locomotivity is strong the characteristics of, support Ethernet interface.With efficiency high, speed is performed
The features such as degree is fast, and real-time is good, reliability is high, strong environmental adaptability, and system cost is low.
Embodiment 5
Present embodiment discloses a kind of embodiment of fujinon electronic video endoscope image processing method.The fujinon electronic video endoscope
Image processing method, its step include：First, the image information of ccd image sensor collection is pre-processed, completes image
AWB, automatic exposure and it is automatic focus on, form RGB after then carrying out encoding and decoding processing to the image by pretreatment
Or yuv format video image, then directly displayed on high resolution displays by VGA or S-Video interfaces, wherein right
The image information of ccd image sensor collection is pre-processed, and employs wavelet transformation and image is gone with threshold value shrinkage method
Make an uproar and enhancing processing, specific implementation step are as follows：
1) noisy image is subjected to wavelet transformation on each yardstick, retains whole wavelet systems under large scale low resolution
Number；
2) for the wavelet coefficient under each yardstick high-resolution, a threshold value is set, amplitude is less than the wavelet systems of the threshold value
Number is set to 0, and amplitude is more than the wavelet coefficient reservation of the threshold value or is punctured into the difference of the point value and threshold value；
3) setting enhancing coefficient, the wavelet coefficient obtained to every layer carries out enhancing conversion, to the small echo Jing Guo above-mentioned processing
Coefficient carries out inverse wavelet transform, i.e., image is reconstructed, obtains enhanced image.
The image come is gathered in reality and often contains much noise, these noises are mainly distributed on the small chi of wavelet transformed domain
Spend on wavelet coefficient, and these detail coefficients also contains substantial amounts of image detail information, traditional method is considered not noise
Foot, simply simple enhancing detail signal, there is the problem of noise amplification, therefore proposition utilizes wavelet transformation and threshold value here
Shrinkage method denoising.
The main theory foundation of wavelet transformation and threshold value shrinkage method is that wavelet transformation particularly orthogonal wavelet transformation has very
Strong removes data dependence, and it can be such that the energy of image is concentrated in wavelet field in some big wavelet coefficients；And noise
Energy is but distributed in whole wavelet field, and therefore, after wavelet decomposition, the wavelet coefficient amplitude of image is greater than the coefficient of noise
Amplitude, it is believed that the larger wavelet coefficient of amplitude is typically based on picture signal, and the less coefficient of amplitude is largely
On be noise.
Embodiment 6
The fujinon electronic video endoscope image processing method of the present embodiment, as different from Example 5, in step 1)：For picture
Vegetarian refreshments number is N noisy image X, if N=2J, resolution ratio L (0≤L are obtained using the Mallat fast algorithms of orthogonal wavelet transformation
<J scale coefficient { the V under)L,k, k=1,2 ..., 2LAnd each resolution ratio under wavelet coefficient { Wj,k, j=L, L+1 ..., J-1,
K=1 ..., 2j, calculate the orthogonal wavelet transformation of noisy acoustic image.Wherein scale coefficient and wavelet coefficient are N number of altogether, wherein N, J,
L, K is natural number；When handling border, frequently with periodic extension method.
Embodiment 7
The fujinon electronic video endoscope image processing method of the present embodiment, unlike embodiment 5 or embodiment 6：To wavelet systems
It is as follows that number carries out the step of non-linear threshold processing：
To keep the global shape of image constant, retain all low frequency coefficient VL,k, k=1,2 ..., 2L；Take threshold valueσ is the standard deviation power of noise (measurement) of picture noise, to each wavelet coefficient, using soft-threshold and
Hard thresholding method is handled：
Soft-threshold：
I.e. by the wavelet coefficient of the image of Noise compared with selected threshold value λ, the point more than threshold value is punctured into
The difference of the point value and threshold value；Less than threshold value opposite number point be punctured into the point value and threshold value and；Amplitude is less than or equal to threshold value
Point vanishing.
Hard -threshold：
I.e. the absolute value of the wavelet coefficient of noisy image compared with selected threshold value λ, the point less than threshold value becomes
It is zero, the point more than or equal to threshold value keeps constant.
Image enhaucament denoising is carried out using threshold value shrinkage method, a most important step is that wavelet coefficient is carried out in wavelet field
Threshold operation, threshold value select the whether appropriate validity for directly influencing algorithm.
If it is known that the noise of image, then from the statistical significance it is known that the noise of each layer wavelet transformation subband it is upper
Boundary, and can the upper bound be that threshold value is filtered.In actual applications, the standard deviation of noise is usually unknown and generally needed
Estimated, because noise is after wavelet transformation, its energy is largely all concentrated on HH subgraphs, therefore can also be chosen
The HH subgraphs of first layer coefficient of wavelet decomposition estimate σ, and the variance estimated will be adjusted, such as regard 3 σ as noise side
Difference substitutes into above-mentioned formula, and the usual way by the use of the variance of HH subgraphs estimation noise is exactly to be used as the layer by the use of the variance of every layer of HH subgraph
Noise variance, if image has shallower region, estimated with the region corresponding in HH subgraphs to do, noise can be obtained
One well estimation.Because noise is concentrated mainly on highest resolution level J-1, so we can also utilize wavelet coefficient
{WJ-1,k, k=1,2 ..., 2J-1Estimate that noise criteria is poor, such as take
Embodiment 8
The fujinon electronic video endoscope image processing method of the present embodiment, as different from Example 7：The wavelet systems obtained to every layer
It is as follows that number carries out the step of enhancing conversion：
With reference to the foregoing processing to wavelet coefficient, if enhancing coefficient Wv,i, wherein, v is scale coefficient, i values 1,2,3, point
HH, HL, LH sub-band images are not represented, and enhancing conversion is carried out to the wavelet coefficient that every layer obtains：
Then, inverse wavelet transform is carried out：Done by all low frequency scale coefficients and via the wavelet coefficient after threshold process
Inverse wavelet transform is reconstructed, the estimate for the primary signal being restored.
Wavelet transformation is the succession and development of conventional Fourier transform, because the multiresolution analysis of small echo has well
Spatial domain and frequency domain localization property, to high frequency using gradually fine time domain or spatial domain step-length, analysis pair can be focused on
Any details of elephant, it is therefore particularly suited for the processing of this kind of non-stationary information source of picture signal, it has also become a kind of signal/image
The new tool of processing.
The basic thought of wavelet transformation is to go to represent with family's function or approach a signal, and this family's function is referred to as small echo letter
Number system.It is to produce its " wavelet " by the flexible and translation of a wavelet mother function come what is formed, is described with its conversion coefficient former
The signal come.If corresponding scaling function isWavelet function is ψ (x), two dimensional scaling functionBe it is separable,
I.e.：3 two-dimentional wavelet functions can be constructed：
So, 2-d wavelet base can be realized by following flexible translation：
So, a two dimensional image signal f (x, y) is in yardstick 2jUnder smooth composition (low frequency component) two-dimensional sequence can be used
Dj(m, n) is expressed as：
Details composition can be expressed as：
The reconstruction formula of two-dimensional wavelet transformation can be represented by the formula：
If introduce enhancing coefficient Wj,i, then reconstruction formula be：
After wavelet decomposition of the one width N × N image by one layer of two-dimentional Mallat fast algorithm implementation, it will obtain four big
It is small to beSub-band images, i.e. an approximation signal (correspond to Dj, it is both horizontally and vertically low frequency component) and 3
Individual detail signal (correspond toBoth horizontally and vertically at least one high fdrequency component), can be with from analysis above
Know, the wavelet decomposition of picture signal is substantially exactly into the picture content in the range of different frequency bands, often picture signal decomposition
One layer of wavelet decomposition is all by picture breakdown to be decomposed into four sub-band images：LL (horizontal and vertical direction is all low-frequency component),
LH (horizontal low frequencies, vertical high frequency), HL (horizontal high-frequent, vertical low frequency), HH (horizontal and vertical direction is all radio-frequency component), because
This, can strengthen the details coefficients of image in the range of different frequency using different methods, protrude the details of different scale, from
And improve the visual effect of image.In actual applications, can be selected according to the yardstick residing for noise level and details interested
The image after decomposition is reconstructed with different threshold values and enhancing coefficient.
Claims (9)
1. a kind of fujinon electronic video endoscope image processing method, this method is applied to fujinon electronic video endoscope image system, is peeped in the electronics
Mirror image system includes front end endoscope, lighting source, image processing board, video-frequency monitor, the front end endoscope output letter
Number connection image processing board, described image process plate output connection video-frequency monitor, it is characterised in that：Described image process plate collection
Into video acquisition and coding circuit, DSP Processor, video decoding and drive amplification circuit and including interface circuit, power supply
Peripheral circuit including circuit；The ccd image sensor output signal connection video acquisition and coding electricity of the front end endoscope
Road, video acquisition and coding circuit output the connection DSP Processor, the DSP Processor output connection video are decoded and driven
Dynamic amplifying circuit, the video decoding and drive amplification circuit connect video-frequency monitor by video output interface；The wherein figure
As the step of processing method includes：First, the image information of ccd image sensor collection is pre-processed；Then to passing through
The image of pretreatment forms RGB or yuv format video image after carrying out encoding and decoding processing；Wherein pre-process and be specially：Using small
Wave conversion carries out denoising with the image information that threshold shrinkage gathers to ccd image sensor and enhancing is handled, and specifically includes：
1) noisy image is subjected to wavelet transformation on each yardstick, retains whole wavelet coefficients under large scale low resolution；
2) for the wavelet coefficient under each yardstick high-resolution, a threshold values is set, the wavelet coefficient that amplitude is less than the threshold values is put
For 0, the wavelet coefficient that amplitude is more than the threshold values retains or is punctured into the difference of the wavelet coefficient and threshold values；
3) setting enhancing coefficient, the wavelet coefficient obtained to every layer carries out enhancing conversion, to the wavelet coefficient Jing Guo above-mentioned processing
Inverse wavelet transform is carried out, i.e., image is reconstructed, obtains enhanced image.
2. fujinon electronic video endoscope image processing method according to claim 1, it is characterised in that：The DSP Processor uses
The DM365 double-nuclear DSP processors of TI companies, video acquisition and coding circuit are using Video Decoder TVP5150, the CCD figures
As sensor output signal access Video Decoder TVP5150 input, the Video Decoder TVP5150 outputs video is compiled
Code signal connects DSP Processor.
3. fujinon electronic video endoscope image processing method according to claim 2, it is characterised in that：The video decoding and driving
Amplifying circuit includes D/A conversion circuit, and described tetra- lead-out terminals of DSP Processor DAC connect one railway digital/mould respectively
Intend change-over circuit, video-frequency monitor is connected by the D/A conversion circuit.
4. the fujinon electronic video endoscope image processing method according to Claims 2 or 3, it is characterised in that：The system includes audio
Coding-decoding circuit, the audio coding decoding circuit export audio using integrated circuit TLV320AIC23BPW, the DSP Processor
Signal connects by transmitted in both directions level translator connection audio coding decoding circuit with the audio coding decoding circuit clock input
Multi-clock generator is connected to, the multi-clock generator uses IC chip PLL1705DBQ, the multi-clock generator
Output connects the audio coding decoding circuit.
5. fujinon electronic video endoscope image processing method according to claim 4, it is characterised in that：The system contains clock division
Circuit, the clock division circuits pass through corresponding function port using CPLD devices XC2C128, the CPLD devices XC2C128
Connect DSP Processor, video encoder TVP5150 and expanding communication interface circuit respectively with control port.
6. fujinon electronic video endoscope image processing method according to claim 1, it is characterized in that：Small echo is carried out to noisy acoustic image
The step of conversion is：For the noisy image X that pixel number is N, if N=2J, it is quick using the Mallat of orthogonal wavelet transformation
Algorithm obtains resolution ratio L (0≤L<J the scale coefficient under)：{VL,k, k=1,2 ..., 2L,
And the wavelet coefficient under each resolution ratio：{Wj,k, j=L, L+1 ..., J-1, k=1 ..., 2j,
Wherein scale coefficient and wavelet coefficient are N number of altogether, and wherein N, J, L, K are natural number.
7. fujinon electronic video endoscope image processing method according to claim 6, it is characterized in that：By threshold shrinkage to small echo
The step of coefficient is handled is as follows：
To keep the global shape of image constant, retain all low frequency coefficient VL,k, k=1,2 ..., 2L；Take threshold valuesσ is the standard deviation of picture noise, to each wavelet coefficient, at soft threshold values and hard threshold values method
Reason：
Soft threshold values：
I.e. by the wavelet coefficient of the image of Noise compared with selected threshold values λ, the point more than threshold values is punctured into the point
Value and the difference of threshold values；Less than threshold values opposite number point be punctured into the point value and threshold values and；Amplitude is less than or equal to the point of threshold values
Vanishing；
Hard threshold values：
I.e. the absolute value of the wavelet coefficient of noisy image compared with selected threshold values λ, less than the point vanishing of threshold values,
Point more than or equal to threshold values keeps constant.
8. fujinon electronic video endoscope image processing method according to claim 7, it is characterized in that：The wavelet coefficient obtained to every layer
The step of carrying out enhancing conversion is as follows：
With reference to the foregoing processing to wavelet coefficient, if enhancing coefficient Wv,i, wherein, v is scale coefficient, i values 1,2,3, generation respectively
Table HH, HL, LH sub-band images, enhancing conversion is carried out to the wavelet coefficient that every layer obtains：
<mrow>
<msub>
<mover>
<mi>W</mi>
<mo>~</mo>
</mover>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>k</mi>
</mrow>
</msub>
<mo>=</mo>
<msub>
<mi>W</mi>
<mrow>
<mi>v</mi>
<mo>,</mo>
<mi>i</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<msub>
<mover>
<mi>W</mi>
<mo>~</mo>
</mover>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>k</mi>
</mrow>
</msub>
</mrow>
Then, inverse wavelet transform is carried out：Wavelet coefficient after being handled by all low frequency scale coefficients and via threshold values does inverse small
Wave conversion is reconstructed, the estimate for the primary signal being restored.
9. fujinon electronic video endoscope image processing method according to claim 8, it is characterized in that：If corresponding scaling function isWavelet function is ψ (x), two dimensional scaling function It is basic that 3 two dimensions can be constructed
Wavelet function：
ψ3(x, y)=ψ (x) ψ (y)
So, 2-d wavelet base can be realized by following flexible translation：
<mrow>
<msubsup>
<mi>&psi;</mi>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
<mi>i</mi>
</msubsup>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>,</mo>
<mi>y</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msup>
<mn>2</mn>
<mrow>
<mo>-</mo>
<mi>j</mi>
</mrow>
</msup>
<msup>
<mi>&psi;</mi>
<mi>i</mi>
</msup>
<mrow>
<mo>(</mo>
<msup>
<mn>2</mn>
<mrow>
<mo>-</mo>
<mi>j</mi>
</mrow>
</msup>
<mi>x</mi>
<mo>-</mo>
<mi>m</mi>
<mo>,</mo>
<msup>
<mn>2</mn>
<mrow>
<mo>-</mo>
<mi>j</mi>
</mrow>
</msup>
<mi>y</mi>
<mo>-</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
<mi>j</mi>
<mo>,</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
<mo>&Element;</mo>
<mi>Z</mi>
<mo>,</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>3</mn>
</mrow>
So, a two dimensional image signal f (x, y) is in yardstick 2jUnder smooth composition can use two-dimensional sequence
Dj(m, n) is expressed as：
Details composition can be expressed as：
<mrow>
<msubsup>
<mi>C</mi>
<mi>j</mi>
<mn>2</mn>
</msubsup>
<mrow>
<mo>(</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>f</mi>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>,</mo>
<mi>y</mi>
<mo>)</mo>
</mrow>
<msubsup>
<mi>&psi;</mi>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
<mn>2</mn>
</msubsup>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>,</mo>
<mi>y</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msubsup>
<mi>C</mi>
<mi>j</mi>
<mn>3</mn>
</msubsup>
<mrow>
<mo>(</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>f</mi>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>,</mo>
<mi>y</mi>
<mo>)</mo>
</mrow>
<msubsup>
<mi>&psi;</mi>
<mrow>
<mi>j</mi>
<mo>,</mo>
<mi>m</mi>
<mo>,</mo>
<mi>n</mi>
</mrow>
<mn>3</mn>
</msubsup>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>,</mo>
<mi>y</mi>
<mo>)</mo>
</mrow>
</mrow>
The reconstruction formula of two-dimensional wavelet transformation can be represented by the formula：
If introduce enhancing coefficient Wj,i, then reconstruction formula be：
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| CN105323440A (en) * | 2015-06-30 | 2016-02-10 | 广东实联医疗器械有限公司 | Image enhancement and video recording device for medical endoscope |
| CN105391915A (en) * | 2015-06-30 | 2016-03-09 | 广东实联医疗器械有限公司 | Image processing and enhancing circuit for medical endoscope |
| CN105430241A (en) * | 2015-06-30 | 2016-03-23 | 广东实联医疗器械有限公司 | Image enhancement, video recording and display circuit for medical endoscope |
| CN104967804A (en) * | 2015-06-30 | 2015-10-07 | 广东实联医疗器械有限公司 | Video recording and driving apparatus for medical endoscope |
| CN104967805A (en) * | 2015-06-30 | 2015-10-07 | 广东实联医疗器械有限公司 | Video recording and driving circuit used for medical endoscope |
| CN105049676B (en) * | 2015-06-30 | 2016-08-17 | 广东实联医疗器械有限公司 | A kind of image procossing for medical endoscope strengthens and video recorder circuitry |
| CN105049765A (en) * | 2015-06-30 | 2015-11-11 | 广东实联医疗器械有限公司 | One-piece integrated system for medical endoscope |
| CN105163019A (en) * | 2015-06-30 | 2015-12-16 | 广东实联医疗器械有限公司 | Video collection processing circuit for medical endoscope |
| CN105323439A (en) * | 2015-06-30 | 2016-02-10 | 广东实联医疗器械有限公司 | Image enhancement and video recording circuit for medical endoscope |
| CN105323421A (en) * | 2015-06-30 | 2016-02-10 | 广东实联医疗器械有限公司 | Image enhancement and video driving device for medical endoscope |
| CN104954655A (en) * | 2015-06-30 | 2015-09-30 | 广东实联医疗器械有限公司 | Video recording and driving device of medical endoscope |
| CN105043256A (en) * | 2015-08-07 | 2015-11-11 | 重庆铸豪机械有限责任公司 | Device for automatically detecting accuracy of electric machinery end cap |
| CN108122207B (en) * | 2016-11-30 | 2021-04-23 | 展讯通信（上海）有限公司 | Image frequency division method and device and electronic equipment |
| CN106709967B (en) * | 2016-12-23 | 2024-03-26 | 天津恒宇医疗科技有限公司 | Endoscopic imaging algorithm and control system |
| CN109903240B (en) * | 2019-01-30 | 2023-03-14 | 中国科学院苏州生物医学工程技术研究所 | Medical ultrahigh-definition image real-time enhancement system |
| CN110634564B (en) * | 2019-09-16 | 2023-01-06 | 腾讯科技（深圳）有限公司 | Pathological information processing method, device and system, electronic equipment and storage medium |
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