CN112716783A - Meridian point identification method, device, equipment and storage medium - Google Patents
Meridian point identification method, device, equipment and storage medium Download PDFInfo
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- CN112716783A CN112716783A CN202011564775.3A CN202011564775A CN112716783A CN 112716783 A CN112716783 A CN 112716783A CN 202011564775 A CN202011564775 A CN 202011564775A CN 112716783 A CN112716783 A CN 112716783A
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Abstract
The application discloses a meridian point identification method, which comprises the following steps: acquiring a human body image of a target user; determining the target positions of target meridian points in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram; and identifying the actual positions of the target meridian points on the human body based on the target positions. By applying the technical scheme provided by the application, the meridian points on the human body can be accurately identified by combining the human body image and the standard human body meridian diagram, the problem of inaccurate meridian point identification caused by individual difference is effectively solved, and a good health management effect is favorably achieved. The application also discloses a meridian point recognition device, equipment and a storage medium, and the meridian point recognition device, the equipment and the storage medium have corresponding technical effects.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to a method, an apparatus, a device, and a storage medium for meridian point recognition.
Background
With the improvement of living standard, people pay more and more attention to the health. Dredging the channels and collaterals is a common health management method. The channels and collaterals of the human body have the function of circulating qi and blood, the qi and blood are distributed to the whole body through the channels and collaterals, various tissues and organs of the whole body are nourished, the channels and the collaterals are obstructed, the qi and the blood are not harmonious, the pain is caused by the obstruction, the channels and the collaterals are not communicated, the body feels painful, and the discomfort of the body can be relieved by dredging the channels and the collaterals.
When the discomfort of the body needs to be relieved by dredging the channels and collaterals, the channels and collaterals and the acupuncture points need to be identified, and the channels and the collaterals can be dredged only after the acupuncture points are found. There are many, up to hundreds, of human meridian points, and at present, meridian points are usually identified on a human body by referring to a human meridian point model or a human meridian point diagram, or by self experience.
However, because there are individual differences between people, such as fat, thin, tall and short, these individual differences will make the accuracy of meridian point identification using this method not high, and a good health management effect cannot be achieved.
Disclosure of Invention
The application aims to provide a meridian point identification method, a meridian point identification device, meridian point identification equipment and a storage medium, so that the identification accuracy of meridian points is improved.
In order to solve the technical problem, the application provides the following technical scheme:
a meridian point identification method comprises the following steps:
acquiring a human body image of a target user;
determining the target positions of target meridian points in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram;
and identifying the actual positions of the target meridian points on the human body based on the target positions.
In one embodiment of the application, the determining, according to the human body image and a standard human body meridian diagram, a target position of a target meridian point in the standard human body meridian diagram in the human body image includes:
scaling the human body image until the scaled human body image is matched with a standard human body meridian graph;
determining a reference position of a target meridian point in the scaled human body image based on a standard position of the target meridian point in the standard human body meridian map;
and restoring the zoomed human body image to obtain the target position of the target meridian point in the human body image.
In one embodiment of the application, the determining, according to the human body image and a standard human body meridian diagram, a target position of a target meridian point in the standard human body meridian diagram in the human body image includes:
determining the proportional relation between the human body image and a standard human body meridian diagram;
and determining the target positions of the target meridian points in the standard human body meridian graph in the human body image based on the proportional relation.
In an embodiment of the application, the determining a proportional relationship between the human body image and a standard human body meridian diagram includes:
respectively determining the length of a connecting line between the human body image and a reference point set in a standard human body meridian diagram;
and determining the proportional relation between the human body image and the standard human body meridian graph according to the length of a connecting line between the reference points.
In a specific embodiment of the present application, the acquiring a human body image of a target user includes:
and acquiring a human body image of the target user through the imaging device.
In one embodiment of the present application, the human body image and the standard human meridian diagram include a perspective view.
In one embodiment of the present application, after the identifying the actual positions of the target meridian points on the human body based on the target position, the method further includes:
and controlling a health management device to correspondingly operate the identified target meridian point on the human body.
A meridian point recognition device, comprising:
the human body image acquisition module is used for acquiring a human body image of a target user;
the target position determining module is used for determining the target positions of target meridian points in the standard human body meridian graph in the human body image according to the human body image and the standard human body meridian graph;
and the actual position identification module is used for identifying the actual position of the target meridian point on the human body based on the target position.
A meridian point recognition apparatus comprising:
a memory for storing a computer program;
a processor for implementing the steps of the meridian point identification method when the computer program is executed.
A computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing the steps of the meridian point identification method of any one of the above.
By applying the technical scheme provided by the embodiment of the application, after the human body image of the target user is obtained, the target position of the target meridian point in the standard human body meridian graph in the human body image is determined according to the human body image and the standard human body meridian graph, and the actual position of the target meridian point on the human body is identified based on the target position. By combining the human body image and the standard human body meridian graph, meridian points on the human body can be accurately identified, the problem of inaccurate meridian point identification caused by individual difference is effectively solved, and a good health management effect is favorably achieved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating an implementation of a meridian point recognition method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a standard meridian diagram of a human body according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a meridian point recognition device in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a meridian point recognition device in an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, an implementation flowchart of a meridian point identification method provided in an embodiment of the present application is shown, where the method may include the following steps:
s110: and acquiring a human body image of the target user.
The target user can be any user who needs to perform meridian point identification at present. If a user wants to reduce the discomfort of the body by dredging the meridians, the user can be the target user.
The body image of the target user may be acquired first. Specifically, a human body image of the target user may be acquired by the imaging device. For example, the human body image of the target user can be acquired by one or more of an image acquisition device, a laser radar, a millimeter wave radar and an infrared sensor. The image acquisition device can be a camera, a video camera and the like.
The acquired human body image of the target user may be a whole body image or a local image. The partial image can be obtained by an imaging device in the form of a helmet, a neck massager, a knee pad, or the like.
S120: and determining the target positions of the target meridian points in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram.
In the embodiment of the application, a standard human meridian diagram can be obtained in advance. As shown in fig. 2, each meridian point is marked in a standard human meridian diagram. The human body image and the standard human body meridian diagram can comprise a stereo diagram, so that comparison and checking are more convenient.
After the human body image of the target user is obtained, the target position of the target meridian point in the human body image in the standard human body meridian graph can be determined according to the human body image and the standard human body meridian graph. The target meridian point is a meridian point that needs to be identified on a human body at present, such as yunmen point in fig. 2.
Different people may have difference of height and thinness, and the human body image is combined with the standard human body meridian graph, so that the target position of the target meridian point in the human body image can be accurately determined, and the influence of individual difference is reduced.
In one embodiment of the present application, step S120 may include the following steps:
the method comprises the following steps: scaling the human body image until the scaled human body image is matched with a standard human body meridian graph;
step two: determining a reference position of the target meridian point in the zoomed human body image based on the standard position of the target meridian point in the standard human body meridian diagram;
step three: and restoring the zoomed human body image to obtain the target position of the target meridian point in the human body image.
For convenience of description, the above three steps are combined for illustration.
In the embodiment of the application, after the human body image of the target user is obtained, scaling processing, such as horizontal and/or vertical scaling, may be performed on the human body image until the scaled human body image is matched with the standard human body meridian diagram. If the human body image is a local image, the zoomed human body image can be matched with the corresponding local area in the standard human body meridian graph.
In the standard human meridian diagram, a plurality of meridian points are marked, and the position of each meridian point in the standard human meridian diagram can be called as a standard position. After the human body image is zoomed to be matched with the standard human body meridian graph, the standard position of the target meridian point in the standard human body meridian graph can be corresponded to the zoomed human body image, and the reference position of the target meridian point in the zoomed human body image is determined.
For example, in a standard meridian diagram of a human body, a coordinate system can be constructed by taking an eyebrow center as an origin of coordinates and taking a connecting line of two eyebrows as a horizontal axis and a position reference line formed by connecting the eyebrow center and a navel as a vertical axis, and a standard position (x1, y1) of a target meridian point can be determined in the coordinate system. And establishing a coordinate system in the zoomed human body image according to the same rule, and finding (x1, y1) in the coordinate system, wherein the position is the reference position of the target meridian point in the zoomed human body image.
After the reference position of the target meridian point in the zoomed human body image is determined, the zoomed human body image can be restored, and the target position of the target meridian point in the human body image can be obtained.
In another embodiment of the present application, step S120 may include the steps of:
the first step is as follows: determining the proportional relation between the human body image and a standard human body meridian diagram;
the second step is that: and determining the target positions of the target meridian points in the human body image in the standard human body meridian diagram based on the proportional relation.
For convenience of description, the above two steps are combined for illustration.
In the embodiment of the application, after the human body image of the target user is obtained, the proportional relation between the human body image and the standard human body meridian diagram can be determined firstly. Different people have difference of height and fat, and the human body images of different users have different proportional relation with the standard human body meridian diagram. The influence of individual difference can be reduced through the determination of the proportional relation.
Specifically, the length of a connecting line between reference points set in the human body image and the standard human body meridian diagram can be respectively determined, and then the proportional relation between the human body image and the standard human body meridian diagram is determined according to the length of the connecting line between the reference points.
The reference point can be set according to actual conditions. If the human body image is a whole body image, a double eyebrow distal point, an eyebrow center, a navel, and the like can be set as reference points. Respectively determining the length of a connecting line of the far-end points of the double eyebrows in the standard meridian diagram of the human body as X0, the length of a connecting line of the eyebrow cores and the navel as Y0, the length of the connecting line of the far-end points of the double eyebrows in the human body image as X1 and the length of the connecting line of the eyebrow cores and the navel as Y1. Further, the transverse proportion relation between the human body image and the standard human body meridian diagram is X1/X0, and the longitudinal proportion relation is Y1/Y0.
After the proportional relation between the human body image and the standard human body meridian graph is determined, the target position of the target meridian point in the standard human body meridian graph in the human body image can be determined based on the proportional relation.
In practical application, a coordinate system can be constructed in a standard human meridian diagram by taking an eyebrow center as an origin of coordinates and taking a connecting line of double eyebrows as a horizontal axis and a position reference line formed by connecting lines of the eyebrow center and a navel as a vertical axis, and a standard position (x0, y0) of a target meridian point can be determined in the coordinate system. After the proportional relation between the human body image and the standard human body meridian diagram is determined, the target position of the target meridian point in the human body image is easily obtained based on the proportional relation and the standard position of the target meridian point in the standard human body meridian diagram. And establishing a coordinate system in the human body image according to the same rule, and finding out (X0X 1/X0, Y0Y 1/Y0) in the coordinate system, wherein the position is the target position of the target meridian point in the human body image.
S130: and identifying the actual positions of the target meridian points on the human body based on the target positions.
After the target positions of the target meridian points in the human body image in the standard human body meridian diagram are determined, the actual positions of the target meridian points on the human body can be identified based on the target positions.
After the actual positions of the target meridian points on the human body are identified, the health management device can be controlled to perform corresponding operations on the identified target meridian points on the human body. For example, the hydrotherapy instrument can be controlled to aim at the actual position of the target meridian point to jet water flow with certain pressure for massage, or the air flow instrument can be controlled to jet air flow with certain pressure for massage, or other similar massage devices of the controller aim at the target meridian point to perform massage treatment, or an infrared instrument is used for irradiating the target meridian point, and the like.
By applying the method provided by the embodiment of the application, after the human body image of the target user is obtained, the target position of the target meridian point in the standard human body meridian graph in the human body image is determined according to the human body image and the standard human body meridian graph, and the actual position of the target meridian point on the human body is identified based on the target position. By combining the human body image and the standard human body meridian graph, meridian points on the human body can be accurately identified, the problem of inaccurate meridian point identification caused by individual difference is effectively solved, and a good health management effect is favorably achieved.
Corresponding to the above method embodiments, the present application further provides a meridian point recognition device, and the meridian point recognition device described below and the meridian point recognition method described above may be referred to in correspondence with each other.
Referring to fig. 3, the apparatus may include the following modules:
a human body image obtaining module 310, configured to obtain a human body image of a target user;
a target position determining module 320, configured to determine a target position of a target meridian point in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram;
and the actual position identification module 330 is used for identifying the actual positions of the target meridian points on the human body based on the target positions.
By applying the device provided by the embodiment of the application, after the human body image of the target user is obtained, the target position of the target meridian point in the standard human body meridian graph in the human body image is determined according to the human body image and the standard human body meridian graph, and the actual position of the target meridian point on the human body is identified based on the target position. By combining the human body image and the standard human body meridian graph, meridian points on the human body can be accurately identified, the problem of inaccurate meridian point identification caused by individual difference is effectively solved, and a good health management effect is favorably achieved.
In one embodiment of the present application, the target position determining module 320 is configured to:
scaling the human body image until the scaled human body image is matched with a standard human body meridian graph;
determining a reference position of the target meridian point in the zoomed human body image based on the standard position of the target meridian point in the standard human body meridian diagram;
and restoring the zoomed human body image to obtain the target position of the target meridian point in the human body image.
In one embodiment of the present application, the target position determining module 320 is configured to:
determining the proportional relation between the human body image and a standard human body meridian diagram;
and determining the target positions of the target meridian points in the human body image in the standard human body meridian diagram based on the proportional relation.
In one embodiment of the present application, the target position determining module 320 is configured to:
respectively determining the length of a connecting line between reference points set in the human body image and the standard human body meridian graph;
and determining the proportional relation between the human body image and the standard human body meridian graph according to the length of the connecting line between the reference points.
In an embodiment of the present application, the human body image obtaining module 310 is configured to:
and acquiring a human body image of the target user through the imaging device.
In one embodiment of the present application, the body image and the standard body meridian map comprise a perspective view.
In one embodiment of the present application, the apparatus further comprises a meridian point operating module, configured to:
after identifying the actual positions of the target meridian points on the human body based on the target positions, controlling the health management device to perform corresponding operations on the identified target meridian points on the human body.
Corresponding to the above method embodiment, the present application embodiment further provides a meridian point recognition apparatus, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the meridian point identification method when executing the computer program.
As shown in fig. 4, which is a schematic view of a structure of a meridian point recognition device, the meridian point recognition device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11 and the communication interface 12 all communicate with each other through a communication bus 13.
In the embodiment of the present application, the processor 10 may be a Central Processing Unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, etc.
The processor 10 may call a program stored in the memory 11, and in particular, the processor 10 may perform operations in an embodiment of the meridian point recognition method.
The memory 11 is used for storing one or more programs, the program may include program codes, the program codes include computer operation instructions, in this embodiment, the memory 11 stores at least the program for implementing the following functions:
acquiring a human body image of a target user;
determining the target positions of target meridian points in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram;
and identifying the actual positions of the target meridian points on the human body based on the target positions.
In one possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function (such as an image processing function and a location identification function), and the like; the storage data area may store data created during use, such as image data, position data, and the like.
Further, the memory 11 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid state storage device.
The communication interface 12 may be an interface of a communication module for connecting with other devices or systems.
Of course, it should be noted that the structure shown in fig. 4 does not constitute a limitation of the meridian point recognition device in the embodiment of the present application, and in practical applications, the meridian point recognition device may include more or less components than those shown in fig. 4, or some components may be combined.
Corresponding to the above method embodiments, the present application further provides a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the meridian point identification method.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The principle and the implementation of the present application are explained in the present application by using specific examples, and the above description of the embodiments is only used to help understanding the technical solution and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. A meridian point identification method is characterized by comprising the following steps:
acquiring a human body image of a target user;
determining the target positions of target meridian points in the standard human body meridian diagram in the human body image according to the human body image and the standard human body meridian diagram;
and identifying the actual positions of the target meridian points on the human body based on the target positions.
2. The method of claim 1, wherein the determining the target positions of the target meridian points in the standard meridian diagram in the human body image according to the human body image and the standard meridian diagram comprises:
scaling the human body image until the scaled human body image is matched with a standard human body meridian graph;
determining a reference position of a target meridian point in the scaled human body image based on a standard position of the target meridian point in the standard human body meridian map;
and restoring the zoomed human body image to obtain the target position of the target meridian point in the human body image.
3. The method of claim 1, wherein the determining the target positions of the target meridian points in the standard meridian diagram in the human body image according to the human body image and the standard meridian diagram comprises:
determining the proportional relation between the human body image and a standard human body meridian diagram;
and determining the target positions of the target meridian points in the standard human body meridian graph in the human body image based on the proportional relation.
4. The method of claim 3, wherein the determining the proportional relationship between the human body image and a standard human meridian diagram comprises:
respectively determining the length of a connecting line between the human body image and a reference point set in a standard human body meridian diagram;
and determining the proportional relation between the human body image and the standard human body meridian graph according to the length of a connecting line between the reference points.
5. The method of claim 1, wherein the obtaining the human body image of the target user comprises:
and acquiring a human body image of the target user through the imaging device.
6. The method of claim 1, wherein the body image and the standard body meridian plan comprise a perspective view.
7. The method according to any one of claims 1 to 6, wherein after the identifying the actual position of the target meridian point on the human body based on the target position, further comprising:
and controlling a health management device to correspondingly operate the identified target meridian point on the human body.
8. A meridian point recognition device, comprising:
the human body image acquisition module is used for acquiring a human body image of a target user;
the target position determining module is used for determining the target positions of target meridian points in the standard human body meridian graph in the human body image according to the human body image and the standard human body meridian graph;
and the actual position identification module is used for identifying the actual position of the target meridian point on the human body based on the target position.
9. A meridian point recognition apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the meridian point identification method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the steps of the meridian point identification method according to any one of claims 1 to 7.
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| CN117608435A (en) * | 2024-01-22 | 2024-02-27 | 佛山市五运六气应用技术有限公司 | Meridian information visual detection method, detection device and storage medium |
| CN117608435B (en) * | 2024-01-22 | 2024-04-09 | 佛山市五运六气应用技术有限公司 | Meridian information visual detection method, detection device and storage medium |
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Application publication date: 20210430 |