CN113509140B - Human body parameter measurement system based on cornea parameters and application method thereof - Google Patents
Human body parameter measurement system based on cornea parameters and application method thereof Download PDFInfo
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- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
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Abstract
The invention belongs to the technical field of human parameter measurement, in particular to a human parameter measurement system based on cornea parameters and a use method thereof, which provides the scheme that the human parameter measurement system based on cornea parameters comprises an image acquisition module, and is characterized in that the image acquisition module is connected with an information receiving module, the output end of the information receiving module is connected with an information processing module, the information processing module is connected with an information storage module and a parameter calculation module, and the parameter calculation module is connected with an information output module; methods of using the system for measuring parameters of the human body based on the parameters of the cornea are also included. The invention measures the length, thickness or similar linear dimension of human organs or contours by taking the diameter and the curvature radius of the cornea of the human body as calculation standards and using the collected pixels to measure the human parameters, thereby realizing the area measurement of the human organs, the measurement of irregular surfaces or contours and providing data for subsequent use.
Description
Technical Field
The invention relates to the technical field of human body parameter measurement, in particular to a human body parameter measurement system based on cornea parameters and a use method thereof.
Background
At present, the production and sales of products related to human body organs or contour parameters, including clothing, shoes, caps, glasses, gloves and the like, and the implementation of technologies related to human body organs or contour parameters, including shaping, beautifying, tattooing, medical treatment and the like, all relate to the measurement of human body organs or contour parameters. The traditional method is to use a measuring tool to directly measure the organs or contours of the human body, and the application range of the direct measuring method is gradually reduced along with the wide application of the Internet.
The internet obtains human organ or outline parameters in the following ways:
1. the client fills in the data acquired by the direct measurement method, and the problems are that: the standards and unification of the measuring tool and the measuring method cannot be guaranteed, and therefore the accuracy of the measured data cannot be guaranteed.
2. Graphic measurement is carried out on parameters of human organs of clients based on graphic technology, and the problems are that: different customer human organs or contour parameters have great variability, reference objects such as a ruler, a card and the like except a human body are used at present, but the measurement error is great because the angle of the reference object cannot be standardized in the shooting and uploading of the customer.
Therefore, an organ with small parameter variability is searched for in the human body, and parameters such as the length, thickness, angle, area and the like of the human body organ or outline can be accurately measured in real time by using a photographic or video technology as a reference object for measurement.
The cornea is positioned at the forefront end of the eyeball, the transparent cornea can penetrate the color of the rear iris, the iris of the Chinese is tan, and the conjunctiva is white, so that the boundary of the cornea can be clearly identified from the image. The cornea diameter of children over 3 years old is approximately 11-12mm in transverse diameter for adult males and 10-11mm for females. The circular area of the central pupil area of the cornea, which is about 4mm in diameter, is approximately spherical, the curvature radius of each point is basically equal, and the curvature radius of the front surface in the vertical direction is 7.7mm. The change of the corneal straight morphology parameters after the age of 4 years is small, and morphology parameter statistics based on a large sample size are reported in relevant literature to be available for acquisition, so that a human body parameter measurement system based on the cornea parameters and a use method thereof are needed.
Disclosure of Invention
The human body parameter measurement system based on the cornea parameters and the application method thereof solve the problems in the prior art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the human body parameter measurement system based on cornea parameters comprises an image acquisition module, wherein the image acquisition module is connected with an information receiving module, the output end of the information receiving module is connected with an information processing module, the information processing module is connected with an information storage module and a parameter calculation module, and the parameter calculation module is connected with an information output module;
the information processing module comprises an information classifying unit, an information extracting unit, a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
the parameter calculation module comprises an organ or contour linear pixel calculation unit, an organ or contour area pixel calculation unit and a calculation content integration unit;
the information classification unit is connected with the information receiving module and the information extraction unit, the information extraction unit is connected with the front side pixel calculation unit, the side pixel calculation unit, the back side pixel calculation unit, the organ or contour linear pixel calculation unit, the organ or contour area pixel calculation unit and the information storage module, the back side pixel calculation unit is connected with the front side pixel calculation unit and the side pixel calculation unit, the organ or contour linear pixel calculation unit is connected with the front side pixel calculation unit, the back side pixel calculation unit and the organ or contour area pixel calculation unit, and the calculation content integration unit is connected with the organ or contour area pixel calculation unit, the organ or contour linear pixel calculation unit and the information output module.
Preferably, the image acquisition module is used for acquiring the human body image to be measured, and the information receiving module is used for receiving the acquired human body image and the request instruction information.
Preferably, the information classifying unit classifies the received human body image and the request instruction information, the information extracting unit extracts information content to be calculated from the classified human body image, the front pixel calculating unit is used for calculating the length of a front pixel in the front state of the human body image, the side pixel calculating unit is used for calculating the length of a front pixel in the side state of the human body image, and the back pixel calculating unit is used for calculating the length of a front pixel in the back state of the human body image.
Preferably, the organ or contour linear pixel calculating unit is used for calculating the length of a human body surface organ or contour in the human body image, the organ or contour area pixel calculating unit is used for calculating the area of the human body surface organ or contour in the human body image, and the calculation content integrating unit generates the calculation result list according to the request command content.
Preferably, the information storage module is used for storing the acquired human body image, the request instruction information, the calculated human body image information content and the calculation result list information content integrated before transmission, and the information output module is used for transmitting the calculation result list information content.
The method for using the human body parameter measurement system based on the cornea parameters comprises the following steps:
s1 human body image acquisition and request instruction receiving
Image acquisition is carried out on the front, the side and the back of the human body by adopting image acquisition equipment, and instruction information to be measured is received at the same time;
s2 human body image acquisition and request instruction receiving classification and processing
The information classifying unit classifies the acquired human body images and the received request instructions, and the information extracting unit performs pixel pattern extracting operation from the acquired human body images;
s3 Pixel computation of human body image
Calculating the pixel length of the acquired human body image by using a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
s4 organ or contour calculation of human body image
Calculating the linear length and the area size of the organ or the outline in the currently acquired human body image by using an organ or outline linear pixel calculating unit and an organ or outline area pixel calculating unit;
s5, integrating and publishing calculation information
And integrating the calculated pixel length and organ or contour content information to form a calculation list and sending the calculation list to an instruction issuing party.
In the present invention,
by the aid of the cornea parameter-based human body parameter measurement system and the cornea parameter-based human body parameter measurement system using method, the design utilizes the diameter and the curvature radius of the human body cornea as calculation standards, and the acquired pixels are used for measuring human body parameters and measuring the length, thickness or similar linear dimensions of human organs or contours, so that area measurement of the human organs is achieved, irregular surface or contour measurement is achieved, and data are provided for subsequent use.
Drawings
Fig. 1 is a schematic structural diagram of a system for measuring parameters of a human body based on cornea parameters according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Referring to fig. 1, a human body parameter measurement system based on cornea parameters comprises an image acquisition module, wherein the image acquisition module is connected with an information receiving module, the output end of the information receiving module is connected with an information processing module, the information processing module is connected with an information storage module and a parameter calculation module, and the parameter calculation module is connected with an information output module;
the information processing module comprises an information classifying unit, an information extracting unit, a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
the parameter calculation module comprises an organ or contour linear pixel calculation unit, an organ or contour area pixel calculation unit and a calculation content integration unit;
the information classifying unit is connected with the information receiving module and the information extracting unit, the information extracting unit is connected with the front side pixel calculating unit, the side pixel calculating unit, the back side pixel calculating unit, the organ or outline linear pixel calculating unit, the organ or outline area pixel calculating unit and the information storage module, the back side pixel calculating unit is connected with the front side pixel calculating unit and the side pixel calculating unit, the organ or outline linear pixel calculating unit is connected with the front side pixel calculating unit, the back side pixel calculating unit and the organ or outline area pixel calculating unit, and the calculating content integrating unit is connected with the organ or outline area pixel calculating unit, the organ or outline linear pixel calculating unit and the information output module.
Further, the image acquisition module is used for acquiring the human body image to be measured, and the information receiving module is used for receiving the acquired human body image and the request instruction information.
Specifically, the information classifying unit classifies the received human body image and the request instruction information, the information extracting unit extracts information content to be calculated from the classified human body image, the front pixel calculating unit is used for calculating the length of a front pixel in the front state of the human body image, the side pixel calculating unit is used for calculating the length of the front pixel in the side state of the human body image, and the back pixel calculating unit is used for calculating the length of the front pixel in the back state of the human body image.
In particular, the organ or contour linear pixel calculating unit is used for calculating the length of the organ or contour of the human body surface in the human body image, the organ or contour area pixel calculating unit is used for calculating the area of the organ or contour of the human body surface in the human body image, and the calculating content integrating unit generates a calculating result list according to the request command content.
The information storage module is used for storing the acquired human body images, the request instruction information, the calculated human body image information content and the calculation result list information content integrated before transmission, and the information output module is used for transmitting the calculation result list information content.
The method for using the human body parameter measurement system based on the cornea parameters comprises the following steps:
s1 human body image acquisition and request instruction receiving
Image acquisition is carried out on the front, the side and the back of the human body by adopting image acquisition equipment, and instruction information to be measured is received at the same time;
s2 human body image acquisition and request instruction receiving classification and processing
The information classifying unit classifies the collected human body image and the received request instruction, and the information extracting unit performs the pixel pattern extracting operation from the collected human body image, and when extracting,
when the human body image is a front image, extracting the cornea transverse diameter of the front image and the number of pixel blocks of the cornea transverse diameter;
when the customer takes pictures without standards, the difference between the transverse diameter and the longitudinal diameter of the cornea is very small when the customer takes pictures with the front face, the cornea is considered to be a perfect circle, the customer is in incorrect posture, the perfect circle is taken as an ellipse, the maximum diameter of the ellipse is equal to the diameter of the perfect circle, the maximum diameter of the ellipse is taken as the transverse diameter of the cornea, and the number of pixel blocks with the maximum diameter of the ellipse is taken as the number of pixel blocks with the transverse diameter of the cornea;
when a customer squints, only one part of the circle can be observed in the front image, and the unique circle can be drawn through a computer without influencing the calculation of the diameter of the circle;
when the human body image is a side image, extracting the cornea curvature radius of the side image and the number of pixel blocks of the cornea curvature radius;
when the human body image is a side image, under the condition that the cornea curvature is certain, a unique sphere can be drawn through a computer, and a part of the sphere is shot from any angle without influencing the radius of curvature of the sphere;
s3 Pixel computation of human body image
Calculating the pixel length of the acquired human body image by using a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
the actual length represented by each pixel block in the front image = cornea transverse diameter +.f the number of pixel blocks of the cornea transverse diameter;
the actual length represented by each pixel block in the side image = corneal radius of curvature/(number of pixel blocks of corneal radius of curvature);
calculating the auricle height by the front or side image, wherein the auricle height is divided into pixel blocks of auricle height = actual length represented by each pixel block on the back;
s4 organ or contour calculation of human body image
Calculating the linear length and the area size of the organ or the outline in the currently acquired human body image by using an organ or outline linear pixel calculating unit and an organ or outline area pixel calculating unit;
a measure of the length, thickness or similar linear dimension of a human surface organ or contour in the image = actual length of pixel blocks in the picture x number of pixel blocks;
area of human body surface organ or contour in image = actual length of pixel block in the picture x number of pixel blocks of the organ or contour;
s5, integrating and publishing calculation information
And integrating the calculated pixel length and organ or contour content information to form a calculation list and sending the calculation list to an instruction issuing party.
The design uses the diameter and the curvature radius of the cornea of a human body as calculation standards, uses the collected pixels to measure parameters of the human body, and measures the length, the thickness or the similar linear dimensions of organs or contours of the human body, thereby realizing the area measurement of organs of the human body, and measuring irregular surfaces or contours and providing data for subsequent use.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (6)
1. The human body parameter measurement system based on cornea parameters comprises an image acquisition module and is characterized in that the image acquisition module is connected with an information receiving module, the output end of the information receiving module is connected with an information processing module, the information processing module is connected with an information storage module and a parameter calculation module, and the parameter calculation module is connected with an information output module;
the information processing module comprises an information classifying unit, an information extracting unit, a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
the parameter calculation module comprises an organ or contour linear pixel calculation unit, an organ or contour area pixel calculation unit and a calculation content integration unit;
the information classification unit is connected with the information receiving module and the information extraction unit, the information extraction unit is connected with the front side pixel calculation unit, the side pixel calculation unit, the back side pixel calculation unit, the organ or contour linear pixel calculation unit, the organ or contour area pixel calculation unit and the information storage module, the back side pixel calculation unit is connected with the front side pixel calculation unit and the side pixel calculation unit, the organ or contour linear pixel calculation unit is connected with the front side pixel calculation unit, the back side pixel calculation unit and the organ or contour area pixel calculation unit, and the calculation content integration unit is connected with the organ or contour area pixel calculation unit, the organ or contour linear pixel calculation unit and the information output module;
the human body parameter measurement system based on cornea parameters, wherein:
the information classifying unit classifies the acquired human body images and the received request instructions, and the information extracting unit performs pixel pattern extracting operation from the acquired human body images;
calculating the pixel length of the acquired human body image by using a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
the actual length represented by each pixel block in the front image = cornea transverse diameter +.f the number of pixel blocks of the cornea transverse diameter;
the actual length represented by each pixel block in the side image = corneal radius of curvature/(number of pixel blocks of corneal radius of curvature);
calculating the auricle height by the front or side image, wherein the auricle height is divided into pixel blocks of auricle height = actual length represented by each pixel block on the back;
calculating the linear length and the area size of the organ or the outline in the currently acquired human body image by using an organ or outline linear pixel calculating unit and an organ or outline area pixel calculating unit;
a measure of the length, thickness or similar linear dimension of a human surface organ or contour in an image = actual length of pixel blocks in the image x number of pixel blocks;
area of organ or contour of human body surface in image = actual length of pixel block in the image x number of pixel blocks of the organ or contour;
and integrating the calculated pixel length and organ or contour content information to form a calculation list and sending the calculation list to an instruction issuing party.
2. The cornea parameter-based human body parameter measurement system of claim 1, wherein the image acquisition module is configured to acquire a human body image to be measured, and the information receiving module is configured to receive the acquired human body image and the request instruction information.
3. The cornea parameter-based human body parameter measurement system according to claim 1, wherein the information classifying unit classifies the received human body image and the request instruction information, the information extracting unit extracts information content to be calculated from the classified human body image, the front pixel calculating unit is configured to calculate a length of a front pixel in a front state of the human body image, the side pixel calculating unit is configured to calculate a length of a front pixel in a side state of the human body image, and the back pixel calculating unit is configured to calculate a length of a front pixel in a back state of the human body image.
4. The cornea parameter-based human body parameter measurement system according to claim 1, wherein the organ or contour linear pixel calculation unit is configured to calculate a length of a human body surface organ or contour in the human body image, the organ or contour area pixel calculation unit is configured to calculate an area of the human body surface organ or contour in the human body image, and the calculation content integration unit generates the calculation result list according to the request command content.
5. The cornea parameter-based human body parameter measurement system of claim 1, wherein the information storage module is configured to store the acquired human body image, the request instruction information, the calculated human body image information content, and the calculation result list information content integrated before transmission, and the information output module is configured to transmit the calculation result list information content.
6. A method of using the cornea parameter-based anthropometric system of claim 1, comprising the steps of:
s1 human body image acquisition and request instruction receiving
Image acquisition is carried out on the front, the side and the back of the human body by adopting image acquisition equipment, and instruction information to be measured is received at the same time;
s2 human body image acquisition and request instruction receiving classification and processing
The information classifying unit classifies the acquired human body images and the received request instructions, and the information extracting unit performs pixel pattern extracting operation from the acquired human body images;
s3 Pixel computation of human body image
Calculating the pixel length of the acquired human body image by using a front pixel calculating unit, a side pixel calculating unit and a back pixel calculating unit;
s4 organ or contour calculation of human body image
Calculating the linear length and the area size of the organ or the outline in the currently acquired human body image by using an organ or outline linear pixel calculating unit and an organ or outline area pixel calculating unit;
s5, integrating and publishing calculation information
And integrating the calculated pixel length and organ or contour content information to form a calculation list and sending the calculation list to an instruction issuing party.
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