CN109745220A - A kind of dedicated eye cleaning system of ophthalmology and method - Google Patents
A kind of dedicated eye cleaning system of ophthalmology and method Download PDFInfo
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- 238000004140 cleaning Methods 0.000 title claims abstract description 71
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- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000000889 atomisation Methods 0.000 claims description 20
- 230000002708 enhancing effect Effects 0.000 claims description 16
- 210000004209 hair Anatomy 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 10
- 239000003814 drug Substances 0.000 claims description 7
- 238000005286 illumination Methods 0.000 claims description 5
- 206010049155 Visual brightness Diseases 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000000638 stimulation Effects 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 3
- 210000000744 eyelid Anatomy 0.000 description 18
- 210000004709 eyebrow Anatomy 0.000 description 13
- 230000001815 facial effect Effects 0.000 description 9
- 230000000694 effects Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000011088 calibration curve Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
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- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
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Abstract
The invention belongs to eye cleaning technique fields, a kind of dedicated eye cleaning system of ophthalmology and method are disclosed, the dedicated eye cleaning system of ophthalmology includes: photographing module, operation module, main control module, image processing module, eye state detection module, lighting module, atomizing module, hydro-peening module, display module.The present invention receives the metadata of eyes image content and the eyes image content by image processing module, in response to determining that executing the eyes image for eyes image frame is handled based on flag information, information is handled based on the eyes image to carry out eyes image processing to the eyes image frame;Output performs the eyes image frame of the eyes image processing handled through eyes image, removes influence of noise, greatly improves image definition;Meanwhile the present invention can preferably reduce computational complexity by eye state detection module, improve real-time, and high reliablity, be with a wide range of applications.
Description
Technical field
The invention belongs to eye cleaning technique field more particularly to a kind of dedicated eye cleaning system of ophthalmology and methods.
Background technique
Eye is the very important position of human body, is the main thoroughfare for obtaining information, and the cleaning of eye is related to entire body
The health of body.Eye is more fragile position, and often the intrusion by fine particulates such as dust, sandy soil, especially right
It is higher in the probability of happening such as children and miner.After being infected, the timely cleaning treatment of eye is extremely important, if dealt with improperly
Biggish injury can be caused to eye.However, the image of the existing dedicated eye cleaning system cleaning process acquisition of ophthalmology is made an uproar
Sound shadow is rung, and causes image fuzzy, it is unclear that, influence the observation to eyes image;Detection meanwhile when cleaning, to eye state
It needs a large amount of sample to be trained, calculates complexity, influence operation efficiency.
In conclusion problem of the existing technology is:
The image of the existing dedicated eye cleaning system cleaning process acquisition of ophthalmology is affected by noise, causes image fuzzy,
It is unclear, influence the observation to eyes image;Meanwhile when cleaning, a large amount of sample is needed to instruct the detection of eye state
Practice, calculates complexity, influence operation efficiency.
It is illuminated in the prior art using LED light, the adjusting of luminosity cannot be carried out according to demand, not can avoid light pair
Eye causes light stimulus or light excessively weak to the adverse effect of image data acquisition;The image acquired in the prior art exists
The poor factor of clarity influences the expansion further to work so that the clarity and identification of image are poor.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of dedicated eye cleaning system of ophthalmology and methods.
The invention is realized in this way a kind of dedicated eye cleaning method of ophthalmology, the dedicated eye cleaning of ophthalmology
Method includes:
The first step operates eye cleaning equipment using operation button;Eyes image is acquired using medicine camera
Data;
Second step is illuminated by using the LED light based on pwm signal;Using eye detection device to the shape of eye
State is detected;
Cleaning solution is carried out atomization process by atomizer by third step;The cleaning solution of atomization is directed at eye using cleaning device
Portion carries out atomization cleaning;
4th step uses the improvement of cross hairs gray level image sharpness computation using image processing software to the image of acquisition
Model carries out clarity enhancing processing;Utilize the eyes image of display display acquisition.
Further, the second step is illuminated by using the LED light based on pwm signal, the adjusting of=progress luminosity,
=LED light is controlled by the forward conduction time, specifically:
If people is to the visual degree of LED lamplight are as follows:
In formula: L (t) is the intrinsic brilliance of LED lamplight, and T is illumination period;
When L (t) be constant L when, then in the period LED lamplight visual brightness are as follows:
In formula: t is stimulation time of the LED lamplight to eyes.
Further, cross hairs grayscale image is used using image of the image processing software to acquisition in the 4th step of second step
The improved model that image sharpness calculates carries out clarity enhancing processing, conducive to the reading of system, specifically:
Cross hairs gray level image is made of mxn pixel, grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,0≤J
≤n-1;
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, then the 1/2 of gray scale difference value uses BdifIt can table
It is shown as:
The clarity of gray level image is C, obtains cross hairs gray level image clarity improved model are as follows:
Another object of the present invention is to provide a kind of ophthalmology for realizing the dedicated eye cleaning method of the ophthalmology is dedicated
Eye cleaning system, the dedicated eye cleaning system of ophthalmology includes:
Photographing module is connect with main control module, for acquiring eyes image data by medicine camera;
Operation module is connect with main control module, for being operated by operation button to eye cleaning equipment;
Main control module, with photographing module, operation module, image processing module, eye state detection module, lighting module,
Atomizing module, hydro-peening module, display module connection, work normally for controlling modules by single-chip microcontroller;
Image processing module is connect with main control module, clear for being carried out by image of the image processing software to acquisition
Spend enhancing processing;
Eye state detection module, connect with main control module, for being examined by eye detection device to eye state
It surveys;
Lighting module is connect with main control module, for providing lighting operation by LED light;
Atomizing module is connect with main control module, for cleaning solution to be carried out atomization process by atomizer;
Hydro-peening module, connect with main control module, is atomized for the cleaning solution of atomization to be directed at eye by cleaning device
Cleaning;
Display module is connect with main control module, for the eyes image by display display acquisition.
Another object of the present invention is to provide a kind of eye cleanings using the dedicated eye cleaning method of the ophthalmology
Control platform.
Advantages of the present invention and good effect are as follows:
The present invention receives the metadata of eyes image content and the eyes image content by image processing module, described
Metadata includes indicating whether to execute the eyes image content at the flag information and eyes image of eyes image processing
Manage information;In response to determining that executing the eyes image for eyes image frame is handled, and is based on the eye based on flag information
Image processing data to carry out eyes image processing to the eyes image frame;Output performs the warp of the eyes image processing
The eyes image frame of eyes image processing, removes influence of noise, greatly improves image definition;Meanwhile the present invention passes through eye
State detection module can preferably reduce computational complexity, real-time, and high reliablity be improved, before having a wide range of applications
Scape.
The present invention is illuminated by using the LED light based on pwm signal, carries out the adjusting of luminosity according to demand, is reduced
The too strong acquisition that light stimulus, excessively weak unfavorable image data are caused to eye of light, thus by the forward conduction time to LED light into
Row control;The present invention uses the improvement mould of cross hairs gray level image sharpness computation using image processing software to the image of acquisition
Type carries out clarity enhancing processing, effectively improves the clarity and identification of image.
Detailed description of the invention
Fig. 1 is the dedicated eye cleaning method flow chart of ophthalmology provided in an embodiment of the present invention.
Fig. 2 is the dedicated eye cleaning system structural schematic diagram of ophthalmology provided in an embodiment of the present invention;
In figure: 1, photographing module;2, operation module;3, main control module;4, image processing module;5, eye state-detection mould
Block;6, lighting module;7, atomizing module;8, hydro-peening module;9, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the dedicated eye cleaning method of ophthalmology provided by the invention the following steps are included:
S101: eye cleaning equipment is operated using operation button;Eyes image number is acquired using medicine camera
According to;
S102: it is illuminated by using the LED light based on pwm signal;Using eye detection device to the state of eye
It is detected;
S103: cleaning solution is carried out by atomization process by atomizer;The cleaning solution of atomization is directed at eye using cleaning device
Carry out atomization cleaning;
S104: the improvement mould of cross hairs gray level image sharpness computation is used to the image of acquisition using image processing software
Type carries out clarity enhancing processing;Utilize the eyes image of display display acquisition.
It is provided in an embodiment of the present invention to be illuminated by using the LED light based on pwm signal in step S102, according to
Demand carries out the adjusting of luminosity, reduces the too strong acquisition that light stimulus, excessively weak unfavorable image data are caused to eye of light, therefore logical
Spending the forward conduction time controls LED light, specifically:
If people is to the visual degree of LED lamplight are as follows:
In formula: L (t) is the intrinsic brilliance of LED lamplight, and T is illumination period;
When L (t) be constant L when, then in the period LED lamplight visual brightness are as follows:
In formula: t is stimulation time of the LED lamplight to eyes.
It is provided in an embodiment of the present invention grey using cross hairs to the image of acquisition using image processing software in step S104
It spends the improved model that image definition calculates and carries out clarity enhancing processing, effectively improve the clarity and identification of image, benefit
In the reading of system, specifically:
Cross hairs gray level image is made of mxn pixel, grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,0≤J
≤n-1;
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, then the 1/2 of gray scale difference value uses BdifIt can table
It is shown as:
The clarity of gray level image is C, obtains cross hairs gray level image clarity improved model are as follows:
As shown in Fig. 2, the dedicated eye cleaning system of ophthalmology provided by the invention includes:
Photographing module 1, operation module 2, main control module 3, image processing module 4, eye state detection module 5, illumination mould
Block 6, atomizing module 7, hydro-peening module 8, display module 9;
Photographing module 1 is connect with main control module 3, for acquiring eyes image data by medicine camera;
Operation module 2 is connect with main control module 3, for being operated by operation button to eye cleaning equipment;
Main control module 3, with photographing module 1, operation module 2, image processing module 4, eye state detection module 5, illumination
Module 6, atomizing module 7, hydro-peening module 8, display module 9 connect, and work normally for controlling modules by single-chip microcontroller;
Image processing module 4 is connect with main control module 3, clear for being carried out by image of the image processing software to acquisition
Clear degree enhancing processing;
Eye state detection module 5 is connect with main control module 3, for being carried out by eye detection device to eye state
Detection;
Lighting module 6 is connect with main control module 3, for providing lighting operation by LED light;
Atomizing module 7 is connect with main control module 3, for cleaning solution to be carried out atomization process by atomizer;
Hydro-peening module 8 is connect with main control module 3, carries out mist for the cleaning solution of atomization to be directed at eye by cleaning device
Change cleaning;
Display module 9 is connect with main control module 3, for the eyes image by display display acquisition.
4 processing method of image processing module provided by the invention is as follows:
(1) metadata of eyes image content and the eyes image content is received, the metadata includes indicating whether
The flag information of eyes image processing is executed to the eyes image content and eyes image handles information;
(2) in response to determining that executing the eyes image for eyes image frame is handled based on flag information, based on described
Eyes image processing information to carry out eyes image processing to the eyes image frame;
(3) output performs the eyes image frame of the eyes image processing handled through eyes image,
Wherein, the eyes image processing information includes at least one of the following: for enhancing in the eyes image
The information of the acutance of appearance, the information of noise for handling the eyes image content, for enhancing the eyes image content
Brightness information and the color for enhancing the eyes image content information,
Wherein, the metadata indicates whether to need to activate the limitation of the brightness and gray level expressing in present frame, is used for
Enhance the maximum brightness information and black, level information of the brightness of eyes image content, and
Wherein, the execution eyes image processing includes: by using the maximum brightness information and the black, level
At least one of information handles the brightness of the eyes image content.
Metadata provided by the invention includes the eyes image with the acutance for enhancing the eyes image content
The related information of the frequency characteristic of content, and execution eyes image processing includes: to be based on being included in the metadata
The eyes image content frequency characteristic come control eyes image processing filter frequency component and intensity.
Metadata provided by the invention includes the eyes image content with the acutance for enhancing the eyes image content
The related information of ambiguity function, and execution eyes image processing includes: using including the mould in the metadata
Paste function to execute the eyes image frame eyes image processing.
Metadata provided by the invention includes the noise parameter for handling the noise of the eyes image content, Yi Jisuo
Stating and executing eyes image processing includes: to execute the eyes image frame using including the noise parameter in the metadata
Noise processed.
Metadata provided by the invention includes at least one of the following: for enhancing the brightness of the eyes image content
Eyes image brightness range information, maximum brightness information related with each scene, object brightness information and tone mapping
Look-up table LUT calibration curve information, and it is described execute eyes image processing include: using include in the metadata with it is each
At least one of the related maximum brightness information of scene, object brightness information and tone mapping LUT calibration curve information are to control
State the dynamic range of eyes image content.
Metadata provided by the invention includes the focus for the brightness for enhancing the specific region of the eyes image content
Figure, and execution eyes image processing includes:
The specific region is extracted using including the focus chart in the metadata, and
Control the yield value of the contrast of the specific region.
5 detection method of eye state detection module provided by the invention is as follows:
1) facial image is obtained by photographing module;
2) gray processing processing is carried out to the facial image;Intermediate value is carried out to the facial image after gray processing
Filtering processing;Histogram equalization processing is carried out to the facial image after median filter process;
3) area image of eyebrow and eyes in the facial image is identified respectively;
4) eye state is detected according to the distance of eyebrow and eyes in the area image.
The area image provided by the invention for identifying eyebrow and eyes in the facial image respectively, comprising:
Sciagraphy is used to the facial image, eyebrow described in coarse positioning and the eyes are where in the facial image
First area;
Template matching method is used to the first area, is accurately positioned the eyebrow and the eyes in the facial image
The second area at middle place is to complete the identification to the area image.
It is provided by the invention that eye state is detected according to the distance of eyebrow and eyes in the area image, comprising:
Calculate the eyebrow to the upper eyelid edge of the eyes the first relative distance;
Calculate the eyebrow to the lower eyelid edge of the eyes the second relative distance;
Calculate the upper eyelid edge of the eyes and the absolute distance at lower eyelid edge;
Eye state is detected according to first relative distance, second relative distance and the absolute distance.
First relative distance at upper eyelid edge of the calculating eyebrow provided by the invention to the eyes, comprising:
Appointing in the brow region, takes X point, finds out the eyebrow coordinate average value of X point;
N number of point is chosen at the upper eyelid edge of the eye areas, counts the upper eyelid coordinate average value of N number of point respectively;
First relative distance is determined according to the eyebrow coordinate average value and the upper eyelid coordinate average value.
Second relative distance at lower eyelid edge of the calculating eyebrow provided by the invention to the eyes, comprising:
N number of point is chosen at the lower eyelid edge of the eye areas, counts the lower eyelid coordinate average value of N number of point respectively;
Second relative distance is determined according to the eyebrow coordinate average value and the lower eyelid coordinate average value.
The absolute distance at the upper eyelid edge for calculating the eyes and lower eyelid edge provided by the invention, comprising:
M point is respectively taken at the upper eyelid edge and lower eyelid edge, calculates separately the M point at the upper eyelid edge
Second average value of the M point at the first average value and the lower eyelid edge;
According to absolute distance described in first average value and second mean value calculation.
Working principle provided in an embodiment of the present invention:
Firstly, acquiring eyes image data using medicine camera by photographing module 1;Behaviour is utilized by operation module 2
Make key to operate eye cleaning equipment;Secondly, main control module 3 utilizes image processing software by image processing module 4
Clarity enhancing processing is carried out to the image of acquisition;By eye state detection module 5 using eye detection device to eye shape
State is detected;Lighting operation is provided using LED light by lighting module 6;Utilize atomizer by cleaning solution by atomizing module 7
Carry out atomization process;Then, the cleaning solution of atomization is directed at using cleaning device by eye by hydro-peening module 8 and carries out atomization cleaning;
Finally, utilizing the eyes image of display display acquisition by display module 9.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (5)
1. a kind of dedicated eye cleaning method of ophthalmology, which is characterized in that the dedicated eye cleaning method of ophthalmology includes:
The first step operates eye cleaning equipment using operation button;Eyes image data are acquired using medicine camera;
Second step is illuminated by using the LED light based on pwm signal;Using eye detection device to the state of eye into
Row detection;
Cleaning solution is carried out atomization process by atomizer by third step;Using cleaning device by the cleaning solution of atomization be aligned eye into
Row atomization cleaning;
4th step uses the improved model of cross hairs gray level image sharpness computation using image processing software to the image of acquisition
Carry out clarity enhancing processing;Utilize the eyes image of display display acquisition.
2. the dedicated eye cleaning method of ophthalmology as described in claim 1, which is characterized in that the second step is by using base
It is illuminated in the LED light of pwm signal, the adjusting of=progress luminosity ,=LED light is controlled by the forward conduction time,
Specifically:
If people is to the visual degree of LED lamplight are as follows:
In formula: L (t) is the intrinsic brilliance of LED lamplight, and T is illumination period;
When L (t) be constant L when, then in the period LED lamplight visual brightness are as follows:
In formula: t is stimulation time of the LED lamplight to eyes.
3. the dedicated eye cleaning method of ophthalmology as described in claim 1, which is characterized in that sharp in the 4th step of second step
Clarity increasing is carried out using the improved model of cross hairs gray level image sharpness computation with image of the image processing software to acquisition
Strength reason, conducive to the reading of system, specifically:
Cross hairs gray level image is made of m x n pixel, grey scale pixel value matrix B (I, J), wherein 0≤I≤m-1,0≤J≤
n-1;
Cross hairs gray level image maximum gradation value Bmax, minimum gradation value Bmin, then the 1/2 of gray scale difference value uses BdifIt may be expressed as:
The clarity of gray level image is C, obtains cross hairs gray level image clarity improved model are as follows:
4. a kind of dedicated eye cleaning system of ophthalmology for realizing the dedicated eye cleaning method of ophthalmology described in claim 1,
It is characterized in that, the dedicated eye cleaning system of ophthalmology includes:
Photographing module is connect with main control module, for acquiring eyes image data by medicine camera;
Operation module is connect with main control module, for being operated by operation button to eye cleaning equipment;
Main control module, with photographing module, operation module, image processing module, eye state detection module, lighting module, atomization
Module, hydro-peening module, display module connection, work normally for controlling modules by single-chip microcontroller;
Image processing module is connect with main control module, for carrying out clarity increasing by image of the image processing software to acquisition
Strength reason;
Eye state detection module, connect with main control module, for being detected by eye detection device to eye state;
Lighting module is connect with main control module, for providing lighting operation by LED light;
Atomizing module is connect with main control module, for cleaning solution to be carried out atomization process by atomizer;
Hydro-peening module, connect with main control module, carries out atomization cleaning for the cleaning solution of atomization to be directed at eye by cleaning device;
Display module is connect with main control module, for the eyes image by display display acquisition.
5. a kind of eye cleaning control using the dedicated eye cleaning method of ophthalmology described in claims 1 to 3 any one is flat
Platform.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111529366A (en) * | 2020-05-07 | 2020-08-14 | 吉林大学 | Atomizing nursing device adjusted according to position deviation of eyes |
CN112716782A (en) * | 2020-12-14 | 2021-04-30 | 中国人民解放军总医院 | Novel flushing device for removing foreign matters in eyes |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030108225A1 (en) * | 2001-12-12 | 2003-06-12 | Sony Corporation | System and method for effectively extracting facial feature information |
GB0505910D0 (en) * | 2004-03-30 | 2005-04-27 | Topcon Corp | Ophthalmological apparatus |
CN104688513A (en) * | 2015-03-12 | 2015-06-10 | 荆献华 | Ophthalmic drainage type eye washing device |
CN105411834A (en) * | 2015-12-29 | 2016-03-23 | 陈园园 | Eye examination and cleaning integrated device |
CN206214268U (en) * | 2016-06-24 | 2017-06-06 | 无锡市第二人民医院 | A kind of eye health wet fog therapeutic equipment |
CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和(上海)信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
-
2018
- 2018-12-24 CN CN201811583667.3A patent/CN109745220A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030108225A1 (en) * | 2001-12-12 | 2003-06-12 | Sony Corporation | System and method for effectively extracting facial feature information |
GB0505910D0 (en) * | 2004-03-30 | 2005-04-27 | Topcon Corp | Ophthalmological apparatus |
CN104688513A (en) * | 2015-03-12 | 2015-06-10 | 荆献华 | Ophthalmic drainage type eye washing device |
CN105411834A (en) * | 2015-12-29 | 2016-03-23 | 陈园园 | Eye examination and cleaning integrated device |
CN206214268U (en) * | 2016-06-24 | 2017-06-06 | 无锡市第二人民医院 | A kind of eye health wet fog therapeutic equipment |
CN108833770A (en) * | 2018-05-23 | 2018-11-16 | 释码融和(上海)信息科技有限公司 | Image definition calculation method, calculating equipment and focusing system for focusing |
Non-Patent Citations (2)
Title |
---|
杜飞明: "基于十字线灰度图像清晰度模型的构建与应用", 《计算技术与自动化》 * |
王娟: "室内环境下LED智能照明***的研究", 《中国硕士学位论文全文数据库 信息科技辑》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111529366A (en) * | 2020-05-07 | 2020-08-14 | 吉林大学 | Atomizing nursing device adjusted according to position deviation of eyes |
CN111529366B (en) * | 2020-05-07 | 2021-03-19 | 吉林大学 | Atomizing nursing device adjusted according to position deviation of eyes |
CN112716782A (en) * | 2020-12-14 | 2021-04-30 | 中国人民解放军总医院 | Novel flushing device for removing foreign matters in eyes |
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