CN112542241A - Cloud storage type color feature analysis platform and method - Google Patents
Cloud storage type color feature analysis platform and method Download PDFInfo
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- CN112542241A CN112542241A CN202010263192.0A CN202010263192A CN112542241A CN 112542241 A CN112542241 A CN 112542241A CN 202010263192 A CN202010263192 A CN 202010263192A CN 112542241 A CN112542241 A CN 112542241A
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T7/00—Image analysis
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- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- 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
- G06T2207/30041—Eye; Retina; Ophthalmic
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Abstract
The invention relates to a cloud storage type color feature analysis platform and a method, wherein the platform comprises: the cloud storage node is used for pre-storing an eye disease database, and the eye disease database stores various suspected eye disease types corresponding to each eye color characteristic by taking the eye color characteristic as an index; the instant capture device is arranged on the portable medical device and used for performing instant image capture action on the eyes of the current patient to obtain an instant capture image; and the target detection equipment is used for respectively segmenting eye imaging patterns and pupil imaging patterns of the human eye target and the human pupil target from the instant captured image based on the human eye appearance characteristic and the human pupil appearance characteristic. The cloud storage type color feature analysis platform and method provided by the invention are compact in structure and convenient to use. The method can directly provide visual reference data of disease types for the ophthalmologist, so that the ophthalmologist can conveniently and quickly give diagnosis results.
Description
Technical Field
The invention relates to the field of cloud storage, in particular to a cloud storage type color feature analysis platform and method.
Background
The medical cloud is a medical health service cloud platform established by using cloud computing on the basis of new technologies such as cloud computing, mobile technology, multimedia, 4G communication, big data, Internet of things and the like and in combination with medical technology, so that sharing of medical resources and expansion of medical scope are realized. Due to the combination of the cloud computing technology, the medical cloud improves the efficiency of medical institutions and brings convenience to residents to see medical advice. Like the appointment register, the electronic medical record, the medical insurance and the like of the existing hospital, the medical cloud is a product combining cloud computing and the medical field, and the medical cloud also has the advantages of data security, information sharing, dynamic expansion and national layout.
In the use of the medical cloud, the lack of an execution mechanism for various targeted cloud storage applications for subdividing the medical field, for example, the lack of a color feature recognition mechanism for the non-pupillary region of the eyes of a patient to which the cloud storage is applied, results in the inability to perform real-time identification and detection of suspected eye disease types by taking advantage of the advantages of the cloud storage.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides a cloud storage type color feature analysis platform which can identify the corresponding suspected eye disease type based on the color feature of the eye non-pupil area of the current patient, wherein the adoption of a data storage mode of cloud storage reduces the storage burden of local equipment and ensures the operation speed of the local equipment.
For this reason, the present invention needs to have several important points:
(1) the method comprises the steps that a network storage mode of cloud storage nodes is adopted, an eye disease database is stored in advance, and various suspected eye disease types corresponding to each eye color feature are stored in the eye disease database by taking the eye color feature as an index;
(2) and performing color characteristic analysis on the non-pupil area of the eye of the current patient to identify various suspected eye disease types, so that a doctor can conveniently perform subsequent diagnosis.
According to an aspect of the present invention, there is provided a cloud storage type color feature analysis platform, the platform comprising:
the cloud storage node is used for pre-storing an eye disease database, and the eye disease database stores various suspected eye disease types corresponding to each eye color characteristic by taking the eye color characteristic as an index;
in the cloud storage node, the eye color feature is one or more of a cyan component value distribution range, a magenta component value distribution range, a yellow component value distribution range, and a black component value distribution range;
the instant capture device is arranged on the portable medical device and used for performing instant image capture action on the eyes of the current patient to obtain an instant capture image;
the target detection equipment is arranged on the portable medical device, is connected with the instant capture equipment, and is used for receiving the instant capture image and respectively segmenting eye imaging patterns and pupil imaging patterns of the human eye target and the human pupil target from the instant capture image based on the human eye appearance characteristic and the human pupil appearance characteristic;
a pupil removal device, located near the target detection device, connected to the target detection device, for removing a pupil imaging pattern from the eye imaging pattern to obtain a non-pupil eye image;
the color analysis equipment is arranged on the portable medical device, is connected with the pupil removing equipment and is used for analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image so as to obtain the color characteristics of the non-pupil eye image;
the content searching device is connected with the cloud storage node through a network and used for searching various corresponding suspected eye disease types from the eye disease database based on the color characteristics of the non-pupil eye image to serve as various suspected eye disease types corresponding to the current patient;
wherein analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point constituting the non-pupil eye image to obtain the color characteristics of the non-pupil eye image comprises: analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image to obtain the cyan component value, the magenta component value, the yellow component value and the black component value of the whole non-pupil eye image.
According to another aspect of the present invention, there is also provided a cloud-storage color feature analysis method, which includes searching out various suspected eye disease types matching with the color features of the non-pupillary region of the eye of the current patient based on the cloud storage mode by using the cloud-storage color feature analysis platform as described above.
The cloud storage type color feature analysis platform and method provided by the invention are compact in structure and convenient to use. The method can directly provide visual reference data of disease types for the ophthalmologist, so that the ophthalmologist can conveniently and quickly give diagnosis results.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic layout diagram of components used in the cloud storage type color feature analysis platform and method according to the present invention.
Fig. 2 is a block diagram illustrating a structure of a cloud storage type color feature analysis platform according to an embodiment of the present invention.
Fig. 3 is a block diagram illustrating a structure of a cloud-storage-type color feature analysis platform according to another embodiment of the present invention.
Detailed Description
Embodiments of the cloud storage type color feature analysis platform and method according to the present invention will be described in detail below with reference to the accompanying drawings.
At present, the color characteristics of the eye region of a patient, especially the non-pupillary eye region, often reflect one or more types of eye diseases that the patient may suffer from currently, and a doctor can further diagnose and judge through the types of eye diseases, however, no relevant mechanism for identifying the types of eye diseases exists at present, which results in that the diagnosis speed of the eye patient cannot be improved.
In order to overcome the defects, the invention builds a cloud storage type color feature analysis platform and a cloud storage type color feature analysis method, and can effectively solve the corresponding technical problems.
In fig. 1, a layout diagram of each component used in the cloud storage type color feature analysis platform and method of the present invention is shown. As shown in fig. 1, the ocular disease database is stored in a cloud storage node.
Next, the technical solution of the present invention will be extensively examined and described with reference to various embodiments.
Fig. 2 is a block diagram illustrating a structure of a cloud storage type color feature analysis platform according to an embodiment of the present invention, where the platform includes:
the cloud storage node is used for pre-storing an eye disease database, and the eye disease database stores various suspected eye disease types corresponding to each eye color characteristic by taking the eye color characteristic as an index;
in the cloud storage node, the eye color feature is one or more of a cyan component value distribution range, a magenta component value distribution range, a yellow component value distribution range, and a black component value distribution range;
the instant capture device is arranged on the portable medical device and used for performing instant image capture action on the eyes of the current patient to obtain an instant capture image;
the target detection equipment is arranged on the portable medical device, is connected with the instant capture equipment, and is used for receiving the instant capture image and respectively segmenting eye imaging patterns and pupil imaging patterns of the human eye target and the human pupil target from the instant capture image based on the human eye appearance characteristic and the human pupil appearance characteristic;
a pupil removal device, located near the target detection device, connected to the target detection device, for removing a pupil imaging pattern from the eye imaging pattern to obtain a non-pupil eye image;
the color analysis equipment is arranged on the portable medical device, is connected with the pupil removing equipment and is used for analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image so as to obtain the color characteristics of the non-pupil eye image;
the content searching device is connected with the cloud storage node through a network and used for searching various corresponding suspected eye disease types from the eye disease database based on the color characteristics of the non-pupil eye image to serve as various suspected eye disease types corresponding to the current patient;
wherein analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point constituting the non-pupil eye image to obtain the color characteristics of the non-pupil eye image comprises: analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image to obtain the cyan component value, the magenta component value, the yellow component value and the black component value of the whole non-pupil eye image.
Fig. 3 is a block diagram illustrating a structure of a cloud-storage-type color feature analysis platform according to another embodiment of the present invention, where the platform includes:
the content display equipment is connected with the pupil removing equipment and is used for receiving and displaying the working state of the pupil removing equipment;
the cloud storage node is used for pre-storing an eye disease database, and the eye disease database stores various suspected eye disease types corresponding to each eye color characteristic by taking the eye color characteristic as an index;
in the cloud storage node, the eye color feature is one or more of a cyan component value distribution range, a magenta component value distribution range, a yellow component value distribution range, and a black component value distribution range;
the instant capture device is arranged on the portable medical device and used for performing instant image capture action on the eyes of the current patient to obtain an instant capture image;
the target detection equipment is arranged on the portable medical device, is connected with the instant capture equipment, and is used for receiving the instant capture image and respectively segmenting eye imaging patterns and pupil imaging patterns of the human eye target and the human pupil target from the instant capture image based on the human eye appearance characteristic and the human pupil appearance characteristic;
a pupil removal device, located near the target detection device, connected to the target detection device, for removing a pupil imaging pattern from the eye imaging pattern to obtain a non-pupil eye image;
the color analysis equipment is arranged on the portable medical device, is connected with the pupil removing equipment and is used for analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image so as to obtain the color characteristics of the non-pupil eye image;
the content searching device is connected with the cloud storage node through a network and used for searching various corresponding suspected eye disease types from the eye disease database based on the color characteristics of the non-pupil eye image to serve as various suspected eye disease types corresponding to the current patient;
wherein analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point constituting the non-pupil eye image to obtain the color characteristics of the non-pupil eye image comprises: analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image to obtain the cyan component value, the magenta component value, the yellow component value and the black component value of the whole non-pupil eye image.
Next, a specific configuration of the cloud storage type color feature analysis platform according to each of the above embodiments of the present invention will be further described.
In the cloud storage type color feature analysis platform: the color analysis device and the pupil removal device share the same data cache device, and the data cache device divides the data cache address into two segments for respectively storing the cache data of the pupil removal device and the color analysis device.
In the cloud storage type color feature analysis platform: and the data caching device is respectively connected with the pupil removing device and the color analyzing device through a parallel data bus.
In the cloud storage type color feature analysis platform: the pupil removal device is provided with a serial communication interface for receiving serial communication data input from the outside.
In the cloud storage type color feature analysis platform: the color analysis equipment is provided with a parallel communication interface for receiving externally input parallel communication data, and the number of bits of the parallel communication interface is 8 bits or 16 bits.
In the cloud storage type color feature analysis platform: the content searching equipment is connected with the IIC control bus and used for receiving various control commands sent by the IIC control bus; wherein the various control commands are used for respectively configuring the various operating parameters of the content search device.
In the cloud storage type color feature analysis platform: the pupil removing device, the color analyzing device and the content searching device share the same clock generating device, and the clock generating device is a quartz oscillator.
In the cloud storage type color feature analysis platform: the content display equipment is also connected with the color analysis equipment and used for receiving and displaying the working state of the color analysis equipment.
Meanwhile, in order to overcome the defects, the invention further discloses a cloud storage type color feature analysis method, which comprises the step of searching out various suspected eye disease types matched with the color features of the non-pupillary region of the eyes of the current patient based on the cloud storage mode by using the cloud storage type color feature analysis platform.
In addition, the target detection device is internally provided with a static random access memory. Static Random-Access Memory (SRAM) is one type of Random Access Memory. By "static," it is meant that the data stored in such a memory is always maintained as long as the memory remains powered on.
In contrast, data stored in a Dynamic Random Access Memory (DRAM) needs to be periodically updated. However, when the power supply is stopped, the data stored in the SRAM is still lost (called a "volatile memory"), which is different from the ROM or flash memory that can store data after power is turned off.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A cloud-stored color feature analysis platform, the platform comprising:
the cloud storage node is used for pre-storing an eye disease database, and the eye disease database stores various suspected eye disease types corresponding to each eye color characteristic by taking the eye color characteristic as an index;
in the cloud storage node, the eye color feature is one or more of a cyan component value distribution range, a magenta component value distribution range, a yellow component value distribution range, and a black component value distribution range;
the instant capture device is arranged on the portable medical device and used for performing instant image capture action on the eyes of the current patient to obtain an instant capture image;
the target detection equipment is arranged on the portable medical device, is connected with the instant capture equipment, and is used for receiving the instant capture image and respectively segmenting eye imaging patterns and pupil imaging patterns of the human eye target and the human pupil target from the instant capture image based on the human eye appearance characteristic and the human pupil appearance characteristic;
a pupil removal device, located near the target detection device, connected to the target detection device, for removing a pupil imaging pattern from the eye imaging pattern to obtain a non-pupil eye image;
the color analysis equipment is arranged on the portable medical device, is connected with the pupil removing equipment and is used for analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image so as to obtain the color characteristics of the non-pupil eye image;
the content searching device is connected with the cloud storage node through a network and used for searching various corresponding suspected eye disease types from the eye disease database based on the color characteristics of the non-pupil eye image to serve as various suspected eye disease types corresponding to the current patient;
wherein analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point constituting the non-pupil eye image to obtain the color characteristics of the non-pupil eye image comprises: analyzing the cyan component value, the magenta component value, the yellow component value and the black component value of each pixel point forming the non-pupil eye image to obtain the cyan component value, the magenta component value, the yellow component value and the black component value of the whole non-pupil eye image.
2. The cloud-storage color feature analysis platform of claim 1, wherein:
the color analysis device and the pupil removal device share the same data cache device, and the data cache device divides the data cache address into two segments for respectively storing the cache data of the pupil removal device and the color analysis device.
3. The cloud-storage color feature analysis platform of claim 2, wherein:
and the data caching device is respectively connected with the pupil removing device and the color analyzing device through a parallel data bus.
4. The cloud-storage color feature analysis platform of claim 3, wherein:
the pupil removal device is provided with a serial communication interface for receiving serial communication data input from the outside.
5. The cloud-storage color feature analysis platform of claim 4, wherein:
the color analysis equipment is provided with a parallel communication interface for receiving externally input parallel communication data, and the number of bits of the parallel communication interface is 8 bits or 16 bits.
6. The cloud-storage color feature analysis platform of claim 5, wherein:
the content searching equipment is connected with the IIC control bus and used for receiving various control commands sent by the IIC control bus;
wherein the various control commands are used for respectively configuring the various operating parameters of the content search device.
7. The cloud-storage color feature analysis platform of claim 6, wherein:
the pupil removing device, the color analyzing device and the content searching device share the same clock generating device, and the clock generating device is a quartz oscillator.
8. The cloud-stored color feature analysis platform of claim 7, further comprising:
and the content display equipment is connected with the pupil removing equipment and is used for receiving and displaying the working state of the pupil removing equipment.
9. The cloud-storage color feature analysis platform of claim 8, wherein:
the content display equipment is also connected with the color analysis equipment and used for receiving and displaying the working state of the color analysis equipment.
10. A cloud-stored color feature analysis method, the method comprising using the cloud-stored color feature analysis platform of any of claims 1-9 to search out various suspected eye disease types that match color features of a non-pupillary region of an eye of a current patient based on cloud storage patterns.
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| US20190180437A1 (en) * | 2016-05-26 | 2019-06-13 | Israel Manela | System and method for use in diagnostics of eye condition |
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| CN110582226A (en) * | 2017-05-02 | 2019-12-17 | 新加坡保健服务集团有限公司 | Handheld ophthalmic and neurologic screening device |
| WO2019242994A1 (en) * | 2018-06-22 | 2019-12-26 | Universite Paris Diderot Paris 7 | Device for imaging blood vessels |
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- 2020-04-07 CN CN202010263192.0A patent/CN112542241A/en not_active Withdrawn
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20190180437A1 (en) * | 2016-05-26 | 2019-06-13 | Israel Manela | System and method for use in diagnostics of eye condition |
| CN106530295A (en) * | 2016-11-07 | 2017-03-22 | 首都医科大学 | Fundus image classification method and device of retinopathy |
| KR101761586B1 (en) * | 2016-12-21 | 2017-07-27 | 주식회사 쓰리이 | Method for detecting borderline between iris and sclera |
| CN110582226A (en) * | 2017-05-02 | 2019-12-17 | 新加坡保健服务集团有限公司 | Handheld ophthalmic and neurologic screening device |
| WO2019242994A1 (en) * | 2018-06-22 | 2019-12-26 | Universite Paris Diderot Paris 7 | Device for imaging blood vessels |
| CN109558825A (en) * | 2018-11-23 | 2019-04-02 | 哈尔滨理工大学 | A kind of pupil center's localization method based on digital video image processing |
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Application publication date: 20210323 |