CN111567945B - Preparation method of personalized 3D printing mask support - Google Patents

Preparation method of personalized 3D printing mask support Download PDF

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Publication number
CN111567945B
CN111567945B CN202010470120.3A CN202010470120A CN111567945B CN 111567945 B CN111567945 B CN 111567945B CN 202010470120 A CN202010470120 A CN 202010470120A CN 111567945 B CN111567945 B CN 111567945B
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mask support
printing
face image
mask
model
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CN111567945A (en
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陈盛贵
周梓荣
李楠
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Dongguan Keheng Shouban Model Co ltd
Dongguan Songhu Technology Co ltd
Dongguan University of Technology
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Dongguan Keheng Shouban Model Co ltd
Dongguan Songhu Technology Co ltd
Dongguan University of Technology
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    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
    • A41D13/00—Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches
    • A41D13/05—Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches protecting only a particular body part
    • A41D13/11—Protective face masks, e.g. for surgical use, or for use in foul atmospheres
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y10/00—Processes of additive manufacturing
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00—Data acquisition or data processing for additive manufacturing
    • B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects

Abstract

The invention discloses a preparation method of a personalized 3D printing mask support, which comprises the following steps: S13D, the printing module receives the face image of the mask support user sent by the user terminal; s2, the 3D printing module judges whether the face image meets the preset image quality requirement, if so, the 3D printing module matches the face image with each standard face image prestored in a database, and the 3D printing module calls a three-dimensional model file corresponding to the standard face image matched with the face image from the database; s3, generating a mask support model completely attached to a user of the mask support according to the three-dimensional model file; and S4, printing and manufacturing the mask support model. The mask support can realize the rapid customization of the mask support, so that the produced mask support is more attached to the face of a user, and the use comfort is improved.

Description

Preparation method of personalized 3D printing mask support
Technical Field
The invention relates to the technical field of medical protection, in particular to a preparation method of a personalized 3D printing mask support.
Background
In the prior art, the mask support is generally produced by adopting die sinking processing, and due to the limitation of a die, the mask support produced by the method cannot be attached to the face of each user, so that the comfort is low.
Disclosure of Invention
The invention aims to provide a preparation method of a personalized 3D printing mask support, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following scheme:
the invention provides a preparation method of a personalized 3D printing mask support, which comprises the following steps:
S13D, the printing module receives the face image of the mask support user sent by the user terminal;
s2, the 3D printing module judges whether the face image meets the preset image quality requirement, if so, the 3D printing module matches the face image with each standard face image prestored in a database, and the 3D printing module calls a three-dimensional model file corresponding to the standard face image matched with the face image from the database;
s3, calling a preset mask basic model from a preset model library by the 3D printing module, importing the three-dimensional model file and the data of the mask basic model into three-dimensional design software, overlapping the three-dimensional model and the mask basic model by the three-dimensional design software, performing Boolean operation, setting operation conditions to generate a mask support model completely attached to a mask support user, and storing the mask support model as a mask support model file;
s4, the 3D printing module leads the mask support model file into slicing software matched with a 3D printer, slices data of the mask support model file to generate a printing format file which can be identified by the 3D printer, and inputs the printing format file into the 3D printer to print and manufacture the mask support model.
Further, the preparation method further comprises the following steps:
and when the 3D printing module judges that the facial image does not meet the preset image quality requirement, the 3D printing module sends prompt information for prompting the user to resend the facial image of the mask support user to the user terminal.
Further, the preparation method further comprises the following steps:
and when the face image is not matched with each standard face image prestored in the database, the 3D printing module sends prompt information for prompting that printing is temporarily unavailable to the user terminal.
In one implementation, the operation condition is: and discarding the data of the three-dimensional model, and keeping the data of the mask basic model.
In one implementation, the 3D printer employs a photocuring 3D printing technique.
Further, the preparation method further comprises the following steps:
s5 post-processing assembly is carried out, polishing and cleaning are carried out on the mask support model after printing is completed, unnecessary support is removed, a final mask support is obtained, a memory sponge layer is adhered to the position, attached to the face of a user, of the mask support, and then comfortable fabric is adhered to the memory sponge layer.
In a realizable mode, the elastic belts fixed on the head are installed at the clamping grooves on the two sides of the mask support, and the elastic belts are provided with buckles capable of adjusting tightness.
Compared with the prior art, the invention has the following technical effects:
the mask support model is guided into slicing software to be sliced, meanwhile, a printing format file which can be identified by a 3D printer is generated, and the 3D printer is used for printing and manufacturing quickly, so that the mask support is customized quickly, the produced mask support is attached to the face of a user, and the use comfort is improved; according to the method, the three-dimensional model file corresponding to the standard facial image matched with the facial image can be directly called from the database only by uploading the facial image by the user, so that on one hand, the three-dimensional scanning of the face of the user is not needed on site, on the other hand, the step of processing the image to generate the three-dimensional model is saved, and the 3D printing efficiency of the protective mask support is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a method for manufacturing a personalized 3D-printed mask support according to an exemplary embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the embodiment provides a method for manufacturing a personalized 3D printing mask support, which includes the following steps:
the S13D printing module receives the face image of the mask support user sent by the user terminal.
The user terminal can be a mobile phone, a tablet or a computer. The user terminal is in communication connection with the 3D printing module.
In one embodiment, the format of the three-dimensional model file is stl format.
Further, the preparation method further comprises the following steps:
and when the 3D printing module judges that the facial image does not meet the preset image quality requirement, the 3D printing module sends prompt information for prompting the user to resend the facial image of the mask support user to the user terminal. The user can send the face image of the new mask support user to the 3D printing module through the user terminal again according to the prompt message.
The user of the present embodiment may or may not be the mask support user.
S2, the 3D printing module judges whether the face image meets the preset image quality requirement, if so, the 3D printing module matches the face image with each standard face image prestored in a database, and the 3D printing module calls a three-dimensional model file corresponding to the standard face image matched with the face image from the database.
In one embodiment, the 3D printing module determining whether the facial image meets a preset image quality requirement includes:
judging whether the face image contains important part characteristic regions, wherein the important part characteristics comprise nose bridge characteristics and eyebrow characteristics, if so, extracting the important part characteristic regions of the face image, judging whether each important part characteristic region meets preset image quality conditions, and if so, judging that the face image meets preset image quality requirements.
Wherein the preset image quality condition is as follows:
Figure BDA0002514022410000031
in the formula, SiIs the gray variance of the ith important part feature region, m is the number of important part feature regions contained in the face image, STIs a preset gray variance threshold, RiThe sharpness of the edge of the feature region of the ith important part, RTFor a preset edge sharpness thresholdValue, f (min)i＝1,…,mRi-RT) To determine the value function, when mini＝1,…,mRi-RT>0, f (min)i＝1,…,mRi-RT) When min is equal to 1i＝1,…,mRi-RTWhen f is less than or equal to 0, f (min)i＝1,…,mRi-RT)＝0；
When the gray variance is calculated, the gray average value of the important part feature area is obtained according to the following formula:
Figure BDA0002514022410000041
in the formula, ρi(avg) is the gray average value of the characteristic region of the ith important part, rhoijIs the gray value of the jth pixel point in the ith important part characteristic region, niAnd the number of pixel points contained in the ith important part characteristic region is counted.
According to the embodiment of the invention, the image quality judgment is only carried out on the feature region of the important part, so that the judgment on the face image is more suitable for the requirement of the 3D printing mask support, and meanwhile, the efficiency of judging the face image quality is favorably improved. The embodiment designs the preset image quality condition according to the two reference indexes of the gray variance and the edge sharpness, and can judge whether the face image meets the image quality requirement or not better and quickly. The embodiment further improves the calculation formula of the gray level average value, so that the calculation of the gray level average value is more accurate, and the accuracy of image quality judgment of the face image is further improved.
In one embodiment, before the 3D printing module matches the facial image with each standard facial image pre-stored in a database, the denoising processing on the facial image includes:
(1) determining noise points of the facial image;
(2) selecting a 3 × 3 filtering window to filter all determined noise points, realizing gray value assignment of all noise points, moving the 3 × 3 filtering window to the noise point to be filtered until the noise point to be filtered is located at the center of the 3 × 3 filtering window, and filtering the noise point to be filtered according to the following formula:
Figure BDA0002514022410000042
in the formula, ρx' Gray value, mid (ρ) assigned to the noise point to be filtered during the filtering process1) Represents the median value, max (p), of the gray values of the first line in the filtering window at the current position2) Represents the maximum value, min (p), of the second row of gray values in the current position filter window3) Representing the minimum value of the third row of gray values in the current position filter window.
According to the embodiment, the noise points of the face image are firstly determined, then the noise points are denoised by adopting the set filtering processing formula, the gray value given to the noise points can be rapidly determined, and the denoising efficiency is favorably improved on the basis of reserving the edge information of the image.
In one embodiment, if the pixel point x in the face image satisfies the following formula, the pixel point 2 is determined as a noise point:
Figure BDA0002514022410000043
wherein h (x) represents the channel value of pixel x, hη(x) Representing the channel value, h, of the η th pixel in the 3x3 neighborhood of pixel xTSetting an average channel value difference threshold;
the embodiment further designs a noise point detection formula, judges whether a noise point appears according to the relation between the pixel point and the channel value of the neighborhood pixel point, and realizes the rapid detection of the noise point.
Further, when the 3D printing module matches the face image with each standard face image pre-stored in the database, it is specifically checked whether each important part feature region of the face image matches an important part feature region corresponding to each pre-stored standard face image. The method of image matching recognition may be performed by a method of the related art, and the embodiment is not limited thereto.
Further, the preparation method further comprises the following steps:
and when the face image is not matched with each standard face image prestored in the database, the 3D printing module sends prompt information for prompting that printing is temporarily unavailable to the user terminal.
S3 the 3D printing module calls a preset mask basic model from a preset model library, the three-dimensional model file and the data of the mask basic model are imported into three-dimensional design software, then the three-dimensional design software is utilized to overlap the three-dimensional model and the mask basic model and carry out Boolean operation, operation conditions are set, so that a mask support model completely attached to a mask support user is generated, and meanwhile, the mask support model is stored as a mask support model file.
The three-dimensional design software can be Autodesk Maya.
Wherein, the format of the mask support model file is stl format.
In one embodiment, the calculation condition is to discard the data of the three-dimensional model and to retain the data of the mask base model.
S4, the 3D printing module leads the mask support model file into slicing software matched with a 3D printer, slices data of the mask support model file to generate a printing format file which can be identified by the 3D printer, and inputs the printing format file into the 3D printer to print and manufacture the mask support model.
Further, the preparation method further comprises the following steps:
s5 post-processing assembly is carried out, polishing and cleaning are carried out on the mask support model after printing is completed, unnecessary support is removed, a final mask support is obtained, a memory sponge layer is adhered to the position, attached to the face of a user, of the mask support, and then comfortable fabric is adhered to the memory sponge layer.
In a realizable mode, the elastic belts fixed on the head are installed at the clamping grooves on the two sides of the mask support, and the elastic belts are provided with buckles capable of adjusting tightness.
According to the embodiment of the invention, the face image of a user of the mask support is collected and a three-dimensional model is generated, then the three-dimensional model is compared with the mask basic model by using three-dimensional design software, Boolean operation is carried out, the mask support model is rapidly generated, then the mask support model is guided into slicing software for slicing processing, meanwhile, a printing format file which can be identified by a 3D printer is generated, and rapid printing and manufacturing are carried out by the 3D printer, so that the rapid customization of the protective mask support is realized, the produced mask support is more attached to the face of the user, and the use comfort is improved; according to the method, the three-dimensional model file corresponding to the standard facial image matched with the facial image can be directly called from the database only by uploading the facial image by the user, so that on one hand, the three-dimensional scanning of the face of the user is not needed on site, on the other hand, the step of processing the image to generate the three-dimensional model is saved, and the 3D printing efficiency of the protective mask support is improved.
The embodiment can provide a rapid preparation method of the customized mask support for people with pollen allergy, haze protection, patients with special respiratory diseases, medical protection and other related categories. Particularly, a mask support matched with the face of a medical worker and related workers needing to wear the mask for a long time is customized to relieve the pressure type damage of the face caused by wearing the mask for a long time.
The principle and the implementation mode of the present invention are explained by applying specific examples in the present specification, and the above descriptions of the examples are only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (7)

1. The preparation method of the personalized 3D printing mask support is characterized by comprising the following steps:
S13D, the printing module receives the face image of the mask support user sent by the user terminal;
s2, the 3D printing module judges whether the face image meets the preset image quality requirement, if so, the 3D printing module matches the face image with each standard face image prestored in a database, and the 3D printing module calls a three-dimensional model file corresponding to the standard face image matched with the face image from the database;
s3, calling a preset mask basic model from a preset model library by the 3D printing module, importing the three-dimensional model file and the data of the mask basic model into three-dimensional design software, overlapping the three-dimensional model and the mask basic model by the three-dimensional design software, performing Boolean operation, setting operation conditions to generate a mask support model completely attached to a mask support user, and storing the mask support model as a mask support model file;
s4, the 3D printing module leads the mask support model file into slicing software matched with a 3D printer, slices data of the mask support model file to generate a printing format file which can be identified by the 3D printer, and inputs the printing format file into the 3D printer to print and manufacture the mask support model;
in step S2, the step of determining whether the face image meets a preset image quality requirement by the 3D printing module includes:
judging whether the face image contains important part characteristic regions, wherein the important part characteristics comprise nose bridge characteristics and eyebrow characteristics, if so, extracting the important part characteristic regions of the face image, judging whether each important part characteristic region meets preset image quality conditions, and if so, judging that the face image meets preset image quality requirements;
wherein the preset image quality condition is as follows:
Figure FDA0003195786850000011
in the formula, SiIs the gray variance of the ith important part feature region, m is the number of important part feature regions contained in the face image, STIs a preset gray variance threshold, RiThe sharpness of the edge of the feature region of the ith important part, RTIs a preset edge sharpness threshold, f (min)i＝1,…,m Ri-RT) To determine the value function, when mini＝1,…,m Ri-RT>0, f (min)i＝1,…,m Ri-RT) When min is equal to 1i＝1,…,m Ri-RTWhen f is less than or equal to 0, f (min)i＝1,…,m Ri-RT)＝0；
When the gray variance is calculated, the gray average value of the important part feature area is obtained according to the following formula:
Figure FDA0003195786850000012
in the formula, ρi(avg) is the gray average value of the characteristic region of the ith important part, rhoijIs the gray value of the jth pixel point in the ith important part characteristic region, niAnd the number of pixel points contained in the ith important part characteristic region is counted.
2. The method of manufacturing a personalized 3D printing mask holder according to claim 1, further comprising:
and when the 3D printing module judges that the facial image does not meet the preset image quality requirement, the 3D printing module sends prompt information for prompting the user to resend the facial image of the mask support user to the user terminal.
3. The method of manufacturing a personalized 3D printing mask holder according to claim 1, further comprising:
and when the face image is not matched with each standard face image prestored in the database, the 3D printing module sends prompt information for prompting that printing is temporarily unavailable to the user terminal.
4. The method for manufacturing the personalized 3D printing mask support according to claim 1, wherein the operation conditions are as follows: and discarding the data of the three-dimensional model, and keeping the data of the mask basic model.
5. The method for manufacturing the personalized 3D printing mask support according to claim 1, wherein the 3D printer adopts a photocuring 3D printing technology.
6. The method of manufacturing a personalized 3D printing mask holder according to any of claims 1-5, further comprising:
s5 post-processing assembly is carried out, polishing and cleaning are carried out on the mask support model after printing is completed, unnecessary support is removed, a final mask support is obtained, a memory sponge layer is adhered to the position, attached to the face of a user, of the mask support, and then comfortable fabric is adhered to the memory sponge layer.
7. The method for manufacturing the personalized 3D printing mask support according to claim 6, wherein elastic bands fixed on the head are installed at the clamping grooves on the two sides of the mask support, and buckles capable of adjusting tightness are installed on the elastic bands.
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GB2611553A (en) * 2021-10-07 2023-04-12 My Maks Fit Ltd Facemask
CN114091131B (en) * 2021-12-08 2023-09-29 中国矿业大学 Cloud platform-based cloth mask support design optimal scheme decision system

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CN107261311A (en) * 2017-06-12 2017-10-20 南方医科大学 The Design of digital and 3D printing preparation method of personalized pressure mask
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CN108669681A (en) * 2018-05-22 2018-10-19 石朕 Manufacturing method of wrist protector

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