CN108376395B - Dynamic Graph display platform based on image recognition - Google Patents
Dynamic Graph display platform based on image recognition Download PDFInfo
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- CN108376395B CN108376395B CN201711221587.9A CN201711221587A CN108376395B CN 108376395 B CN108376395 B CN 108376395B CN 201711221587 A CN201711221587 A CN 201711221587A CN 108376395 B CN108376395 B CN 108376395B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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Abstract
The present invention relates to a kind of Dynamic Graph display platform based on image recognition, comprising: display equipment in scene connect with object extraction equipment, for receiving and scene shows ear-drum Dynamic Graph that object extraction equipment exports；Picture pick-up device in ear is arranged inside patient's ear, for carrying out image taking to patient's ear inside scene, to obtain and export internal scene image；Quality estimation equipment, it is connect with picture pick-up device in the ear, for receiving internal scene image, the noise in the internal scene image is analyzed to obtain the amplitude of various noises, the credit rating of the internal scene image is determined based on the amplitude of various noises.By means of the invention it is possible to which medical staff is helped to understand patient's Er Nei state of an illness rapidly.
Description
Technical field
The present invention relates to field of image recognition more particularly to a kind of Dynamic Graph display platforms based on image recognition.
Background technique
Currently, generally use ear check method for the detection of environment in the ear of patient, this method mainly include otoscopy,
Eustachian tube function inspection, listening comprehension test, vestibular function examination, fistula test and other inspections.The general size for first observing auricle,
Position, whether there is or not whether deformity and two sides symmetrical, whether there is or not swelling, touching pain and tenderness for auricle and mastoidea and ear peripheral lymph node.
Tool used in above-mentioned detection is optical tooling, and the mode of judgement is doctor's manually sentencing by personal experience
Disconnected, this testing mechanism is easy to cause testing result excessively static.Long-term follow can not be carried out to the environment of patient Er Nei, moved
State description and analysis.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of Dynamic Graph display platform based on image recognition, uses
Object extraction equipment successively receives image in multiple ears for chronologically-based, is all carried out to multiple images based on default ear
The matching operation of film benchmark image, to be obtained respectively from the multiple targets improvement image and be partitioned into multiple ear-drum subgraphs
Picture, and based on the ear-drum Dynamic Graph based on time change at multiple ear-drum subgraph draftings.
According to an aspect of the present invention, a kind of Dynamic Graph display platform based on image recognition, the platform packet are provided
It includes:
Scene display equipment, connect with object extraction equipment, for receiving simultaneously scene display object extraction equipment output
Ear-drum Dynamic Graph；
Picture pick-up device in ear is arranged inside patient's ear, for carrying out image taking to patient's ear inside scene, with
It obtains and exports internal scene image；
Quality estimation equipment is connect with picture pick-up device in the ear, for receiving internal scene image, to the fields inside
Noise in scape image is analyzed to obtain the amplitude of various noises, determines the internal scene based on the amplitude of various noises
The credit rating of image；
Tactful switching equipment is connect with the quality estimation equipment, default for being less than or equal in the credit rating
When lower limit credit rating, selected depth processing equipment carries out corresponding image enhancement processing to the internal scene image to obtain
Enhancing processing image is also used to select primary processing equipment to institute when the credit rating is higher than pre-determined lower limit credit rating
It states internal scene image and carries out corresponding image enhancement processing to obtain enhancing processing image；
Advanced treatment device is connect, for receiving respectively with the quality estimation equipment and the tactful switching equipment
Internal scene image is stated, based on the credit rating apart from the far and near by the internal scene figure of the pre-determined lower limit credit rating
Each piecemeal as being averagely divided into relevant block size, to each piecemeal, the pixel value variance based on the piecemeal selects to correspond to
Varying strength contrast enhancement processing to obtain enhancing piecemeal, combine each enhancing piecemeal of acquisition to obtain in first
Between image, distance based on the credit rating apart from the pre-determined lower limit credit rating is by the first intermediate image average mark
It is cut into each piecemeal of corresponding block size, to each piecemeal, the pixel value variance selection based on the piecemeal is corresponding different strong
The edge enhancing processing of degree is combined each enhancing piecemeal of acquisition to obtain targets improvement image with obtaining enhancing piecemeal；
Primary processing equipment is connect, for receiving respectively with the quality estimation equipment and the tactful switching equipment
Internal scene image is stated, and to the internal scene image overall execution contrast enhancement processing to obtain the second intermediate image,
It handles to the second intermediate image overall execution edge enhancing to obtain targets improvement image；
Object extraction equipment is connect with the advanced treatment device and the primary processing equipment respectively, when for being based on
Between sequence successively receive multiple targets improvement images, multiple targets improvement images are all carried out based on default ear-drum benchmark image
Matching operation, to obtain and be partitioned into multiple ear-drum subgraphs respectively from the multiple targets improvement image, and based on multiple
Ear-drum Dynamic Graph at ear-drum subgraph drafting based on time change.
The present invention at least has inventive point important at following two:
(1) total quality of input picture is assessed using quality estimation equipment, is selected when second-rate high-strength
The image-enhancing equipment of degree is to improve image enhancement quality, when quality is good, the enhancing of common disposed of in its entirety is selected to handle
Equipment is to reduce unnecessary equipment power dissipation, to realize targeted image enhancement processing；
(2) the ear-drum Dynamic Graph based on time change for obtaining simultaneously scene display patient, facilitates medical staff more fully
Understand the state of an illness in the ear of patient.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is that the object of the Dynamic Graph display platform according to the realization shown in embodiment of the present invention based on image recognition mentions
Take the peripheral interface figure of the processor of equipment.
Fig. 2 is the structure box according to the Dynamic Graph display platform based on image recognition shown in embodiment of the present invention
Figure.
Specific embodiment
The embodiment of the Dynamic Graph display platform to of the invention based on image recognition carries out detailed below with reference to accompanying drawings
It describes in detail bright.
Testing mechanism lacks long-term, dynamic detection means in current ear.In order to overcome above-mentioned deficiency, the present invention is taken
A kind of Dynamic Graph display platform based on image recognition is built, specific embodiment is as follows.
Fig. 1 is that the object of the Dynamic Graph display platform according to the realization shown in embodiment of the present invention based on image recognition mentions
Take the peripheral interface figure of the processor of equipment.
Fig. 2 is the structure box according to the Dynamic Graph display platform based on image recognition shown in embodiment of the present invention
Figure, the platform include:
Scene display equipment, connect with object extraction equipment, for receiving simultaneously scene display object extraction equipment output
Ear-drum Dynamic Graph；
Picture pick-up device in ear is arranged inside patient's ear, for carrying out image taking to patient's ear inside scene, with
It obtains and exports internal scene image；
Quality estimation equipment is connect with picture pick-up device in the ear, for receiving internal scene image, to the fields inside
Noise in scape image is analyzed to obtain the amplitude of various noises, determines the internal scene based on the amplitude of various noises
The credit rating of image；
Tactful switching equipment is connect with the quality estimation equipment, default for being less than or equal in the credit rating
When lower limit credit rating, selected depth processing equipment carries out corresponding image enhancement processing to the internal scene image to obtain
Enhancing processing image is also used to select primary processing equipment to institute when the credit rating is higher than pre-determined lower limit credit rating
It states internal scene image and carries out corresponding image enhancement processing to obtain enhancing processing image；
Advanced treatment device is connect, for receiving respectively with the quality estimation equipment and the tactful switching equipment
Internal scene image is stated, based on the credit rating apart from the far and near by the internal scene figure of the pre-determined lower limit credit rating
Each piecemeal as being averagely divided into relevant block size, to each piecemeal, the pixel value variance based on the piecemeal selects to correspond to
Varying strength contrast enhancement processing to obtain enhancing piecemeal, combine each enhancing piecemeal of acquisition to obtain in first
Between image, distance based on the credit rating apart from the pre-determined lower limit credit rating is by the first intermediate image average mark
It is cut into each piecemeal of corresponding block size, to each piecemeal, the pixel value variance selection based on the piecemeal is corresponding different strong
The edge enhancing processing of degree is combined each enhancing piecemeal of acquisition to obtain targets improvement image with obtaining enhancing piecemeal；
Primary processing equipment is connect, for receiving respectively with the quality estimation equipment and the tactful switching equipment
Internal scene image is stated, and to the internal scene image overall execution contrast enhancement processing to obtain the second intermediate image,
It handles to the second intermediate image overall execution edge enhancing to obtain targets improvement image；
Object extraction equipment is connect with the advanced treatment device and the primary processing equipment respectively, when for being based on
Between sequence successively receive multiple targets improvement images, multiple targets improvement images are all carried out based on default ear-drum benchmark image
Matching operation, to obtain and be partitioned into multiple ear-drum subgraphs respectively from the multiple targets improvement image, and based on multiple
Ear-drum Dynamic Graph at ear-drum subgraph drafting based on time change；
Wherein, further include inside picture pick-up device in the ear optical filter, optics convex lens combination, image sensing cell with
And camera support equipment, the optical filter are blue filter, are arranged on the front of the optics convex lens combination, the light
The front that convex lens combination is arranged on described image sensing unit is learned, the camera support equipment is for simultaneously to the optical filtering
Piece, optics convex lens combination and described image sensing unit provide instant support force.
Then, the specific structure for continuing the Dynamic Graph display platform to of the invention based on image recognition carries out further
Explanation.
In the Dynamic Graph display platform based on image recognition:
In the advanced treatment device, the credit rating is closer apart from the pre-determined lower limit credit rating, will be described
The relevant block that internal scene image averaging is divided into is bigger.
In the Dynamic Graph display platform based on image recognition:
In the advanced treatment device, to each piecemeal, the pixel value variance of the piecemeal is bigger, the contrast of selection
The dynamics for enhancing processing is smaller, meanwhile, the dynamics of the edge enhancing processing of selection is smaller.
In the Dynamic Graph display platform based on image recognition:
In the advanced treatment device, the credit rating is closer apart from the pre-determined lower limit credit rating, will be described
The relevant block that first intermediate image is averagely divided into is bigger.
Can also include: in the Dynamic Graph display platform based on image recognition
Bracket is imaged, picture pick-up device in the ear is used to support, picture pick-up device is located at the camera shooting bracket in the ear
Top；
Wherein, the top of the camera shooting bracket is located inside patient's ear.
In the Dynamic Graph display platform based on image recognition:
The scene display equipment is LED display or LCD display；
Wherein, the scene display equipment and the object extraction equipment pass through ZIGBEE communication link progress two-way
Letter；
Wherein, the scene display equipment is embedded in the wall in ward.
In addition, ZigBee is the low-power consumption LAN protocol based on IEEE802.15.4 standard.It is provided according to international standard,
ZigBee technology is the wireless communication technique of a kind of short distance, low-power consumption.This title (also known as ZigBee protocol) derives from honeybee
Eight words dance, due to honeybee (bee) be by circle in the air and " drone " (zig) shake wing " dancing " come and companion transmitting pollen
Place azimuth information, that is to say, that honeybee constitutes the communication network in group by such mode.Its main feature is that closely,
Low complex degree, self-organizing, low-power consumption, low data rate.It is mainly suitable for be embedded in for automatic control and remote control field
Various equipment.In brief, ZigBee is a kind of cheap, the near radio networking mechanics of communication of low-power consumption.ZigBee
It is a kind of wireless network protocol of low speed short-distance transmission.Zigbee protocol is respectively physical layer (PHY), media visit from top to bottom
Ask control layer (MAC), transport layer (TL), network layer (NWK), application layer (APL) etc..Wherein physical layer and MAC layer
Follow the regulation of IEEE 802.15.4 standard.
Using the Dynamic Graph display platform of the invention based on image recognition, for shortage dynamic ear inner ring in the prior art
It is the technical issues of border analysis mechanisms, right by using multiple targeted customization image recognition apparatus and image capture device
Patient's Er Nei environment carries out target identification and long-term follow, and based on above-mentioned target identification result and long-term follow as a result,
Environment analysis mechanisms in dynamic ear are established, the evolution so as to understand patient's state of an illness for medical staff provides important reference
Data.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (5)
1. a kind of Dynamic Graph display platform based on image recognition, the platform include:
Scene display equipment, connect with object extraction equipment, for receiving the ear-drum of simultaneously scene display object extraction equipment output
Dynamic Graph；
Picture pick-up device in ear is arranged inside patient's ear, for carrying out image taking to patient's ear inside scene, to obtain
And export internal scene image；
Quality estimation equipment is connect with picture pick-up device in the ear, for receiving internal scene image, to the internal scene figure
Noise as in is analyzed to obtain the amplitude of various noises, determines the internal scene image based on the amplitude of various noises
Credit rating；
Tactful switching equipment is connect with the quality estimation equipment, for being less than or equal to pre-determined lower limit in the credit rating
When credit rating, selected depth processing equipment carries out corresponding image enhancement processing to the internal scene image to be enhanced
Image is handled, is also used to select primary processing equipment to described interior when the credit rating is higher than pre-determined lower limit credit rating
Portion's scene image carries out corresponding image enhancement processing to obtain enhancing processing image；
Advanced treatment device is connect, for receiving in described respectively with the quality estimation equipment and the tactful switching equipment
Portion's scene image is put down the internal scene image apart from the far and near of the pre-determined lower limit credit rating based on the credit rating
It is divided into each piecemeal of corresponding block size, to each piecemeal, the pixel value variance selection based on the piecemeal is corresponding not
With the contrast enhancement processing of intensity to obtain enhancing piecemeal, combine each enhancing piecemeal of acquisition to obtain the first middle graph
First intermediate image is averagely divided by picture, the distance based on the credit rating apart from the pre-determined lower limit credit rating
Each piecemeal of corresponding block size, to each piecemeal, the pixel value variance based on the piecemeal selects corresponding varying strength
Edge enhancing processing is combined each enhancing piecemeal of acquisition to obtain targets improvement image with obtaining enhancing piecemeal；
Primary processing equipment is connect, for receiving in described respectively with the quality estimation equipment and the tactful switching equipment
Portion's scene image, and to the internal scene image overall execution contrast enhancement processing to obtain the second intermediate image, right
The second intermediate image overall execution edge enhancing processing is to obtain targets improvement image；
Object extraction equipment is connect with the advanced treatment device and the primary processing equipment respectively, for suitable based on the time
Sequence successively receives multiple targets improvement images, all carries out the matching based on default ear-drum benchmark image to multiple targets improvement images
Operation to obtain and be partitioned into multiple ear-drum subgraphs respectively from the multiple targets improvement image, and is based on multiple ear-drums
Ear-drum Dynamic Graph at subgraph drafting based on time change；
Wherein, further include optical filter inside picture pick-up device in the ear, optics convex lens combination, image sensing cell and take the photograph
As support equipment；
Wherein, the optical filter is blue filter, is arranged on the front of the optics convex lens combination, the optics convex lens
Microscope group closes the front for being arranged on described image sensing unit；
Wherein, the camera support equipment is for simultaneously passing the optical filter, optics convex lens combination and described image
Feel unit and instant support force is provided；
It is characterized by:
In the advanced treatment device, the credit rating is closer apart from the pre-determined lower limit credit rating, by the inside
The relevant block that scene image is averagely divided into is bigger.
2. the Dynamic Graph display platform based on image recognition as described in claim 1, it is characterised in that:
In the advanced treatment device, to each piecemeal, the pixel value variance of the piecemeal is bigger, the contrast enhancing of selection
The dynamics of processing is smaller, meanwhile, the dynamics of the edge enhancing processing of selection is smaller.
3. the Dynamic Graph display platform based on image recognition as claimed in claim 2, it is characterised in that:
In the advanced treatment device, the credit rating is closer apart from the pre-determined lower limit credit rating, by described first
The relevant block that intermediate image is averagely divided into is bigger.
4. the Dynamic Graph display platform based on image recognition as claimed in claim 3, which is characterized in that further include:
Bracket is imaged, picture pick-up device in the ear is used to support, picture pick-up device is located at the top of the camera shooting bracket in the ear；
Wherein, the top of the camera shooting bracket is located inside patient's ear.
5. the Dynamic Graph display platform based on image recognition as claimed in claim 4, it is characterised in that:
The scene display equipment is LED display or LCD display；
Wherein, the scene display equipment and the object extraction equipment pass through the progress two-way communication of ZIGBEE communication link；
Wherein, the scene display equipment is embedded in the wall in ward.
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| CN109544521B (en) * | 2018-11-12 | 2021-08-17 | 北京航空航天大学 | Registration method of passive millimeter wave image and visible light image in human body security check |
| CN109729320B (en) * | 2019-01-24 | 2020-09-29 | 平湖市超凯科技有限公司 | Real-time object identification monitoring platform |
| CN110636465B (en) * | 2019-04-03 | 2020-10-16 | 浙江艾克米信息科技有限公司 | Local area network information sending platform |
| CN112580554B (en) * | 2020-12-25 | 2024-01-05 | 北京环境特性研究所 | Classification recognition method for MSTAR data noise intensity control based on CNN |
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| CN201602744U (en) * | 2010-02-21 | 2010-10-13 | 上海科沁机电有限公司 | Portable type electronic ear mirror |
| CN201719224U (en) * | 2010-05-07 | 2011-01-26 | 上海伦屹光电科技有限公司 | Multifunctional video ear examining device |
| CN106455987A (en) * | 2014-05-05 | 2017-02-22 | 特洛伊海伦有限公司 | Otoscope and otoscopic method based on spectral analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9931021B2 (en) * | 2013-02-04 | 2018-04-03 | Helen Of Troy Limited | Method for identifying objects in a subject's ear |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201602744U (en) * | 2010-02-21 | 2010-10-13 | 上海科沁机电有限公司 | Portable type electronic ear mirror |
| CN201719224U (en) * | 2010-05-07 | 2011-01-26 | 上海伦屹光电科技有限公司 | Multifunctional video ear examining device |
| CN106455987A (en) * | 2014-05-05 | 2017-02-22 | 特洛伊海伦有限公司 | Otoscope and otoscopic method based on spectral analysis |
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