Orthodontic detection method and system

Abstract

The present invention discloses a method and system for detecting orthodontics, which performs intelligent fill-light processing on the user's oral cavity according to the environment control logic, thereby ensuring the shooting effect of the image shooting component on the teeth and ensuring the accuracy of the tooth image. At the same time, a dental panorama is constructed based on multiple tooth images and facial images, and the location of the orthodontic area is determined based on the dental panorama; multi-dimensional detection is triggered according to the location of the orthodontic area to determine the orthodontic features, thereby clarifying the orthodontic features, and further controlling the incomplete parts and offset parts of the orthodontic features, so as to facilitate the construction of the orthodontic distribution map, ensure the detection accuracy of the orthodontic distribution map, and introduce various repair nodes for the orthodontic distribution map.

Description

Technical Field

[0001] The present invention relates to the technical field of orthodontic detection systems, and in particular to an orthodontic detection method and system. Background Art

[0002] With the development of science and technology, users' dental problems have gradually attracted people's attention. In the existing technology, the comprehensive judgment of CBCT panoramic photos and oral scan data is used to realize the judgment of orthodontic case needs. With the improvement of people's living standards, beauty has become a need for almost everyone, and the coordination and beauty of the face are the core demands of the whole beauty. The development and arrangement of teeth are key factors that directly affect the beauty of a person's face.

[0003] In the prior art, teeth are detected with a detection piece, and the missing parts of the teeth are photographed. A corresponding orthodontic area is defined for the missing parts, and a single identification is performed based on the orthodontic area to define the corresponding orthodontic features. However, the offset part of the orthodontic features is not fully considered, and the detection accuracy of the orthodontic distribution map cannot be guaranteed. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a detection method and system for orthodontics, which constructs a dental panorama based on multiple dental images and facial images, and determines the location of the orthodontic area based on the dental panorama; triggers multi-dimensional detection according to the location of the orthodontic area to determine the orthodontic characteristics, thereby clarifying the orthodontic characteristics, and further controls the incomplete and offset parts of the orthodontic characteristics to facilitate the construction of an orthodontic distribution map, thereby ensuring the detection accuracy of the orthodontic distribution map, and introducing various repair nodes for the orthodontic distribution map.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a tooth orthodontic detection method, which is applied to a tooth orthodontic detection scenario;

[0006] The tooth orthodontic detection method comprises:

[0007] Collect multiple environmental parameters of the user's oral cavity, and define environmental characteristics according to the multiple environmental parameters;

[0008] The environmental control logic of the image capture device is triggered according to the environmental characteristics and the location of the image capture device, and intelligent fill light processing is performed on the user's oral cavity according to the environmental control logic;

[0009] When the image capturing element captures the teeth of the user, the extending direction of the teeth of the user is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extending direction of the teeth of the user, and a plurality of teeth images and facial images are acquired;

[0010] Constructing a dental panorama based on multiple dental images and facial images, and determining the location of the dental orthodontic area based on the dental panorama; triggering multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features;

[0011] Defining the missing part and the offset part according to the orthodontic characteristics of the teeth; constructing the orthodontic distribution map of the teeth according to the missing part and the offset part;

[0012] The restoration order of each tooth orthodontic feature is defined according to the tooth orthodontic distribution map, and each restoration node is defined according to the restoration order and the corresponding tooth orthodontic coefficient.

[0013] Optionally, collecting multiple environmental parameters of the user's oral cavity and defining environmental characteristics according to the multiple environmental parameters include:

[0014] Inserting the probe into the user's oral cavity and moving it along the extension direction of the user's teeth;

[0015] The detection element detects the environment during movement and dynamically collects multiple environmental parameters of the user's oral cavity;

[0016] Freeze multiple environmental parameters and define the position corresponding to each environmental parameter;

[0017] Constructing environmental regions according to multiple environmental parameters and corresponding locations;

[0018] In the environmental area, multiple parameter combinations are constructed according to multiple environmental parameters, and corresponding parameter features are defined based on the parameter combinations;

[0019] Define environmental characteristics based on multiple parameter characteristics.

[0020] Optionally, triggering the environment control logic of the image capture element according to the environment characteristics and the position of the image capture element, and performing intelligent fill light processing on the user's oral cavity according to the environment control logic, includes:

[0021] Freeze the environmental features and the location of the image capture element;

[0022] Associating environmental features with the location where the image is captured, and defining the environment of the location where the image is captured;

[0023] Triggering the environment control logic of the image capture component according to the environment of the location where the image capture component is located;

[0024] In the environment control logic, the environment type is defined according to the environment where the image is taken;

[0025] The corresponding environmental control means are triggered according to the environment type, and the environmental control means and the location of the image shooting device are associated. At the same time, the user's oral cavity is intelligently filled with light according to the environmental control logic; in the intelligent fill light processing, the user's tooth arrangement size is collected, and the first lighting parameter is defined according to the tooth arrangement size and the width of each tooth, the second lighting parameter is defined based on the position of the teeth and the model of the fill light, the second lighting parameter and the first lighting parameter are associated, and the fill light range is defined according to the second lighting parameter and the first lighting parameter, and the fill light range is dynamically adjusted with the dynamic changes of the teeth.

[0026] Optionally, when the image capturing element captures the teeth of the user, the extension direction of the teeth of the user is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extension direction of the teeth of the user, and a plurality of teeth images and facial images are acquired, including:

[0027] In the environment after supplementary lighting, the user's teeth are photographed based on the image capturing element;

[0028] When the image capturing element captures the user's teeth, an extension direction of the user's teeth is collected;

[0029] Traversing the user's teeth along the extension direction of the user's teeth, and defining a floating range of the user's teeth;

[0030] Define the shooting space according to the extension direction and floating range of the user's teeth;

[0031] Adjusting the shooting direction of the shooting end of the image shooting component based on the shooting space and the extension direction of the user's teeth;

[0032] The shooting direction of the shooting end of the image shooting component is fixed, and the teeth are photographed based on the shooting end of the image shooting component to obtain multiple tooth images and facial images.

[0033] Optionally, the method constructs a dental panorama based on multiple dental images and facial images, and determines the location of the dental orthodontic area based on the dental panorama; triggers multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features, including:

[0034] Freeze multiple tooth images and mark the shooting order of the multiple tooth images;

[0035] Sorting the plurality of tooth images based on the order of shooting to construct a tooth image set;

[0036] constructing a dental panorama based on a dental image collection and a facial image;

[0037] Freeze the dental panorama and trigger the traversal of the dental panorama;

[0038] Determine the orthodontic area of ​​the teeth based on the traversal of the dental panorama, and mark the location of the orthodontic area of ​​the teeth;

[0039] Determine orthodontic features based on multi-dimensional detection of orthodontic areas.

[0040] Optionally, defining the missing part and the offset part according to the orthodontic characteristics of the teeth; and constructing the orthodontic distribution map according to the missing part and the offset part include:

[0041] Determine the orthodontic features of teeth;

[0042] Divide the orthodontic features of teeth and highlight the contours of orthodontic features;

[0043] The incomplete part is defined based on the contour line of the orthodontic feature and the non-closed-loop feature. Meanwhile, the offset part is defined based on the contour line of the orthodontic feature and the axis feature.

[0044] Optionally, the method of defining the missing part and the offset part according to the orthodontic characteristics of the teeth; and constructing the orthodontic distribution map according to the missing part and the offset part, further includes:

[0045] Associating the missing part and the offset part, and defining the weight of the missing part and the offset part according to the age of the tooth;

[0046] Define the orthodontic coefficients of teeth based on weight, missing part and offset part;

[0047] Collect the relative positions of the orthodontic features of each tooth and match the orthodontic coefficients of the teeth to the corresponding relative positions;

[0048] The orthodontic distribution map is constructed according to the relative positions of the orthodontic features of the teeth and the orthodontic coefficients of each tooth.

[0049] Optionally, the repairing sequence of each orthodontic feature is defined according to the orthodontic distribution map, and each repairing node is defined according to the repairing sequence and the corresponding orthodontic coefficient, including:

[0050] Fixed tooth orthodontic distribution map;

[0051] Defining a plurality of orthodontic areas based on the orthodontic distribution map, and determining relative positions between the plurality of orthodontic areas;

[0052] defining a transition area enclosed by two adjacent orthodontic areas according to relative positions between the plurality of orthodontic areas;

[0053] The influence coefficient of the transition area is defined based on the length of the transition area and the influence range of the two adjacent orthodontic areas.

[0054] Optionally, the method of defining the restoration order of each orthodontic feature according to the orthodontic distribution map, and defining each restoration node according to the restoration order and the corresponding orthodontic coefficient, further includes:

[0055] Determining the restoration order of each tooth orthodontic feature according to the influence coefficient of the transition area and the relative positions between the multiple tooth orthodontic areas;

[0056] Each restoration node is defined according to the restoration sequence and the corresponding tooth orthodontic coefficient. At this time, the restoration node is marked with the corresponding restoration means.

[0057] In addition, an embodiment of the present invention further provides a tooth orthodontic detection system, the tooth orthodontic detection system comprising:

[0058] A collection module, used to collect multiple environmental parameters of the user's oral cavity and define environmental characteristics according to the multiple environmental parameters;

[0059] A fill light module is used to trigger the environment control logic of the image capture element according to the environment characteristics and the location of the image capture element, and to perform intelligent fill light processing on the user's oral cavity according to the environment control logic;

[0060] An image module, used to collect the extension direction of the user's teeth when the image capturing element captures the user's teeth, and to adjust the shooting direction of the shooting end of the image capturing element along the extension direction of the user's teeth, and to obtain a plurality of tooth images and a facial image;

[0061] A detection module, used to construct a dental panorama based on multiple dental images and facial images, and determine the location of the dental orthodontic area based on the dental panorama; trigger multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features;

[0062] A tooth orthodontic distribution map module is used to define a missing part and an offset part according to the tooth orthodontic characteristics; and to construct an orthodontic distribution map according to the missing part and the offset part;

[0063] The repair module is used to define the repair order of each tooth orthodontic feature according to the tooth orthodontic distribution map, and define each repair node according to the repair order and the corresponding tooth orthodontic coefficient.

[0064] In an embodiment of the present invention, through the method in the embodiment of the present invention, the environmental control logic of the image capture component is triggered according to the environmental characteristics and the position of the image capture component, and the user's oral cavity is intelligently filled in with light according to the environmental control logic, thereby ensuring the shooting effect of the image capture component on the teeth and ensuring the accuracy of the tooth image.

[0065] At the same time, a dental panorama is constructed based on multiple dental images and facial images, and the location of the orthodontic area is determined based on the dental panorama; multi-dimensional detection is triggered according to the location of the orthodontic area to determine the orthodontic characteristics, thereby clarifying the orthodontic characteristics, and further controlling the incomplete and offset parts of the orthodontic characteristics to facilitate the construction of an orthodontic distribution map, thereby ensuring the detection accuracy of the orthodontic distribution map, and introducing various repair nodes for the orthodontic distribution map. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0067] Figure 1 is a schematic flow chart of a tooth orthodontic detection method in an embodiment of the present invention;

[0068] Figure 2 is a flow chart of S11 in the tooth orthodontic detection method in an embodiment of the present invention;

[0069] Figure 3 is a flow chart of S12 in the tooth orthodontic detection method in an embodiment of the present invention;

[0070] Figure 4 is a schematic flow chart of S13 in the tooth orthodontic detection method in an embodiment of the present invention;

[0071] Figure 5 is a schematic flow chart of S14 in the tooth orthodontic detection method in an embodiment of the present invention;

[0072] Figure 6 is a flow chart of S15 in the tooth orthodontic detection method in an embodiment of the present invention;

[0073] Figure 7 is a schematic flow chart of S16 in the tooth orthodontic detection method in an embodiment of the present invention;

[0074] Figure 8 is a schematic diagram of the structure of a tooth orthodontic detection system in an embodiment of the present invention;

[0075] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0076] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0077] Method Embodiment

[0078] See also Figures 1 to 9 , a tooth orthodontic detection method, applied to a tooth orthodontic detection scenario; the tooth orthodontic detection method includes:

[0079] Step S11: collecting multiple environmental parameters of the user's oral cavity, and defining environmental characteristics according to the multiple environmental parameters;

[0080] Step S12: triggering the environment control logic of the image capture element according to the environment characteristics and the location of the image capture element, and performing intelligent fill light processing on the user's oral cavity according to the environment control logic;

[0081] Step S13: when the image capturing element captures the user's teeth, the extension direction of the user's teeth is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extension direction of the user's teeth, and a plurality of tooth images and facial images are acquired;

[0082] Step S14: constructing a dental panorama based on the multiple dental images and the facial image, and determining the location of the dental orthodontic area based on the dental panorama; triggering multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features;

[0083] Step S15: defining the missing part and the offset part according to the orthodontic characteristics of the teeth; and constructing an orthodontic distribution map according to the missing part and the offset part;

[0084] Step S16: defining the restoration sequence of each orthodontic feature according to the orthodontic distribution map, and defining each restoration node according to the restoration sequence and the corresponding orthodontic coefficient.

[0085] In an embodiment of the present invention, through the method in the embodiment of the present invention, the environmental control logic of the image capture component is triggered according to the environmental characteristics and the position of the image capture component, and the user's oral cavity is intelligently filled in with light according to the environmental control logic, thereby ensuring the shooting effect of the image capture component on the teeth and ensuring the accuracy of the tooth image.

[0086] At the same time, a dental panorama is constructed based on multiple dental images and facial images, and the location of the orthodontic area is determined based on the dental panorama; multi-dimensional detection is triggered according to the location of the orthodontic area to determine the orthodontic characteristics, thereby clarifying the orthodontic characteristics, and further controlling the incomplete and offset parts of the orthodontic characteristics to facilitate the construction of an orthodontic distribution map, thereby ensuring the detection accuracy of the orthodontic distribution map, and introducing various repair nodes for the orthodontic distribution map.

[0087] refer to Figure 2 , in step S11, a plurality of environmental parameters of the user's oral cavity are collected, and environmental characteristics are defined according to the plurality of environmental parameters;

[0088] In the specific implementation process of the present invention, the specific steps may be:

[0089] S111: inserting the probe into the user's oral cavity and moving it along the extension direction of the user's teeth;

[0090] S112: the detection element performs environmental detection during movement, and dynamically collects multiple environmental parameters of the user's oral cavity;

[0091] S113: freeze multiple environmental parameters and define the position corresponding to each environmental parameter;

[0092] S114: constructing an environmental area according to a plurality of environmental parameters and corresponding positions;

[0093] S115: In the environmental area, construct multiple parameter combinations according to multiple environmental parameters, and define corresponding parameter features based on the parameter combinations;

[0094] S116: Define environmental characteristics according to multiple parameter characteristics.

[0095] In an embodiment of the present application, the probe is inserted into the user's mouth and moved along the extension direction of the user's teeth. At this time, when the probe detects the user's mouth, information is marked on the detection node to facilitate archiving of the user's oral information and to perform information management on the user in turn.

[0096] At this time, the detection part performs environmental detection during movement, and dynamically collects multiple environmental parameters of the user's mouth, so as to introduce multiple environmental parameters, and manage multiple environmental parameters, so as to freeze multiple environmental parameters, and define the position corresponding to each environmental parameter, and further control the position corresponding to each environmental parameter, so as to construct an environmental area according to multiple environmental parameters and the corresponding positions, and then clarify the environmental area, so as to control the environmental area and realize in-depth processing of the environmental area.

[0097] In this environmental area, multiple parameter combinations are constructed according to multiple environmental parameters, and corresponding parameter characteristics are defined based on the parameter combinations; environmental characteristics are defined according to multiple parameter characteristics, thereby freezing the environmental characteristics, and introducing environmental characteristics to facilitate subsequent processing of environmental characteristics, and are compatible with the consideration of multiple parameter combinations, fully considering the overall impact of multiple environmental parameters.

[0098] refer to Figure 3 In step S12, the environment control logic of the image capture element is triggered according to the environment characteristics and the location of the image capture element, and intelligent fill light processing is performed on the user's oral cavity according to the environment control logic;

[0099] In the specific implementation process of the present invention, the specific steps may be:

[0100] S121: Freeze the environmental features and the location of the image capture element;

[0101] S122: Associating the environmental features with the location where the image is captured, and defining the environment of the location where the image is captured;

[0102] S123: triggering the environment control logic of the image capture component according to the environment of the location where the image capture component is located;

[0103] S124: In the environment control logic, define the environment type according to the environment of the location where the image is captured;

[0104] S125: triggering corresponding environmental control means according to the type of environment, and associating the environmental control means with the location of the image capture device, and at the same time, performing intelligent fill light processing on the user's oral cavity according to the environmental control logic; in the intelligent fill light processing, collecting the user's tooth arrangement size, and defining a first lighting parameter according to the tooth arrangement size and the width of each tooth, defining a second lighting parameter based on the location of the teeth and the model of the fill light, associating the second lighting parameter with the first lighting parameter, and defining a fill light range according to the second lighting parameter and the first lighting parameter, and the fill light range is dynamically adjusted with the dynamic changes of the teeth.

[0105] In an embodiment of the present application, environmental features and the location of an image capturing element are frozen, and the environmental features and the location of an image capturing element are associated, and the environment of the location of the image capturing element is defined, thereby managing the environment of the location of the image capturing element, so as to facilitate processing of the environment of the location of the image capturing element, so as to optimize the shooting effect of the image capturing element and avoid being affected by the environment.

[0106] At this time, the environmental control logic of the image capture element is triggered according to the environment of the location where the image capture element is located; in the environmental control logic, the environment type is defined according to the environment of the location where the image capture element is located; the corresponding environmental control means are triggered according to the environment type, and the environment is optimized or brightened in the environmental control means.

[0107] At the same time, the environmental control means and the location of the image capture device are associated, and the environmental control means and the location of the image capture device are introduced, and overall control is performed on the environmental control means and the location of the image capture device. At this time, the user's oral cavity is intelligently filled with light according to the environmental control logic, so as to optimize or brighten the environment, thereby ensuring the image capture effect of the teeth.

[0108] At the same time, in the intelligent fill light processing, the user's tooth arrangement size is collected, and the first lighting parameter is defined according to the tooth arrangement size and the width of each tooth. The second lighting parameter is defined based on the position of the teeth and the model of the fill light. The second lighting parameter and the first lighting parameter are associated. The fill light range is defined according to the second lighting parameter and the first lighting parameter. The fill light range is dynamically adjusted with the dynamic changes of the teeth so as to adapt to different tooth arrangements and dynamic adjustments of the teeth. It is compatible with more application scenarios and ensures the intelligent effect of fill light processing.

[0109] refer to Figure 4 In step S13, when the image capturing element captures the user's teeth, the extension direction of the user's teeth is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extension direction of the user's teeth, and a plurality of tooth images and facial images are acquired;

[0110] In the specific implementation process of the present invention, the specific steps may be:

[0111] S131: photographing the user's teeth based on the image capturing element in the environment after the supplementary light is applied;

[0112] S132: When the image capturing element captures the user's teeth, an extension direction of the user's teeth is collected;

[0113] S133: traversing the user's teeth along the extension direction of the user's teeth, and defining a floating range of the user's teeth;

[0114] S134: defining a shooting space according to the extension direction and floating range of the user's teeth;

[0115] S135: adjusting the shooting direction of the shooting end of the image shooting component based on the shooting space and the extension direction of the user's teeth;

[0116] S136: The shooting direction of the shooting end of the image shooting component is fixed, and the teeth are photographed based on the shooting end of the image shooting component to obtain a plurality of tooth images and a facial image.

[0117] In an embodiment of the present application, in an environment after fill lighting, the user's teeth are photographed based on an image capture device. When the image capture device photographs the user's teeth, the extension direction of the user's teeth is collected and introduced, so as to traverse the user's teeth along the extension direction of the user's teeth and define the floating range of the user's teeth, thereby introducing the extension direction of the teeth and the floating range of the teeth, thereby associating the extension direction of the teeth and the floating range of the teeth.

[0118] At this time, the shooting space is defined according to the extension direction and floating range of the user's teeth to facilitate the management and control of the shooting space, thereby adjusting the shooting direction of the shooting end of the image capturing element based on the shooting space and the extension direction of the user's teeth, thereby ensuring the dynamic change of the shooting direction of the shooting end of the image capturing element. At the same time, the shooting direction of the shooting end of the image capturing element is frozen, and the teeth are photographed based on the shooting end of the image capturing element to obtain multiple tooth images and facial images.

[0119] refer to Figure 5 , S14: constructing a dental panorama based on multiple dental images and facial images, and determining the location of the dental orthodontic area based on the dental panorama; triggering multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features;

[0120] In the specific implementation process of the present invention, the specific steps may be:

[0121] S141: freezing a plurality of tooth images, and marking a shooting order of the plurality of tooth images;

[0122] S142: sorting the plurality of tooth images based on the order of shooting to construct a tooth image set;

[0123] S143: constructing a dental panorama according to the dental image set and the facial image; at this time, in the process of constructing the dental panorama, the contours between the teeth are marked based on the recognition of the dental image set, the independent images of the teeth are defined according to the contours between the teeth and the positions of the teeth, the corresponding recessed parts are defined based on the recognition of the independent images of the teeth, and the corresponding tooth grades are defined for the recessed parts of the teeth and the contours between the teeth, and the presentation method of the dental panorama is defined based on the grades of the multiple teeth and the outer contour presented by the facial image;

[0124] S144: freeze the tooth panorama and trigger traversal of the tooth panorama;

[0125] S145: Determine a tooth orthodontic region based on the traversal of the tooth panorama, and mark the location of the tooth orthodontic region;

[0126] S146: Determine orthodontic features based on multi-dimensional detection of the orthodontic area.

[0127] In an embodiment of the present application, a plurality of dental images are frozen, and the shooting order of the plurality of dental images is marked, so that the plurality of dental images can be sorted based on the shooting order to construct a dental image set, thereby performing overall management based on the dental image set, and constructing a dental panorama based on the dental image set and the facial image, so as to introduce the dental panorama and control the dental image in the dental panorama.

[0128] Therefore, the dental panorama is frozen and the traversal of the dental panorama is triggered; the orthodontic area is determined based on the traversal of the dental panorama, and the location of the orthodontic area is marked, so as to clarify the orthodontic area and the location of the orthodontic area, so as to carry out targeted identification of the orthodontic area, and determine the orthodontic characteristics based on the multi-dimensional detection of the orthodontic area, so as to control the orthodontic characteristics and manage them.

[0129] At this time, in the process of constructing the dental panorama, the contours between each tooth are marked based on the recognition of the dental image set, and the independent image of each tooth is defined according to the contours between each tooth and the position of each tooth. The corresponding recessed parts are defined based on the recognition of the independent images of each tooth, and the corresponding tooth grades are defined for the recessed parts of each tooth and the contours between each tooth. The presentation method of the dental panorama is defined based on the grades of multiple teeth and the outer contour presented by the facial image, so as to introduce multiple tooth grades, thereby controlling the grades of multiple teeth, so as to be compatible with the consideration of the grades of multiple teeth and the outer contour presented by the facial image, realize multi-dimensional control, and ensure the construction accuracy of the dental panorama.

[0130] refer to Figure 6 , S15: defining a missing part and an offset part according to orthodontic characteristics of teeth; constructing an orthodontic distribution map of teeth according to the missing part and the offset part;

[0131] In the specific implementation process of the present invention, the specific steps may be:

[0132] S151: Determine the orthodontic features of teeth;

[0133] S152: feature segmentation based on orthodontic features of teeth, and highlight the contour lines of orthodontic features of teeth;

[0134] S153: defining a defective part based on a contour line of the orthodontic feature and a non-closed loop feature, and defining an offset part based on a contour line of the orthodontic feature and an axis feature;

[0135] S154: associating the missing part and the offset part, and defining the weights of the missing part and the offset part according to the age of the tooth;

[0136] S155: define tooth orthodontic coefficients based on weight, missing part and offset part;

[0137] S156: collecting the relative positions of the orthodontic features of each tooth, and matching the orthodontic coefficients of the teeth to the corresponding relative positions;

[0138] S157: constructing a tooth orthodontic distribution map according to the relative positions of the tooth orthodontic features and the orthodontic coefficients of each tooth.

[0139] In an embodiment of the present application, the orthodontic features are fixed. At this time, feature division is performed on the orthodontic features, and the contour lines of the orthodontic features are highlighted to facilitate further control based on the contour lines of the orthodontic features. At the same time, the incomplete part is defined based on the contour lines of the orthodontic features and the non-closed-loop features. At the same time, the offset part is defined based on the contour lines of the orthodontic features and the axis features. At this time, the incomplete part and the offset part are introduced, and the incomplete part and the offset part are defined based on the orthodontic features.

[0140] Furthermore, the incomplete part and the offset part are associated, and the weights of the incomplete part and the offset part are defined according to the age of the teeth, so as to define the corresponding weights, thereby defining the orthodontic coefficient according to the weights, the incomplete part and the offset part, and defining the orthodontic coefficient of each orthodontic feature. At this time, the relative position of each orthodontic feature is collected, and the orthodontic coefficient is matched to the corresponding relative position; an orthodontic distribution map is constructed according to the relative position of the orthodontic features and each orthodontic coefficient, so as to present the orthodontic features, the positions of the orthodontic features, and the orthodontic coefficients of the orthodontic features in the orthodontic distribution map, so as to further control the orthodontic distribution map.

[0141] refer to Figure 7 , S16: defining the restoration order of each tooth orthodontic feature according to the tooth orthodontic distribution map, and defining each restoration node according to the restoration order and the corresponding tooth orthodontic coefficient;

[0142] In the specific implementation process of the present invention, the specific steps may be:

[0143] S161: Fixed tooth orthodontic distribution map;

[0144] S162: defining a plurality of orthodontic areas based on the orthodontic distribution map, and determining relative positions between the plurality of orthodontic areas;

[0145] S163: defining a transition area enclosed by two adjacent orthodontic areas according to relative positions between the multiple orthodontic areas;

[0146] S164: defining an influence coefficient of the transition area based on the length of the transition area and the influence ranges of two adjacent tooth orthodontic areas;

[0147] S165: determining a restoration order of each tooth orthodontic feature according to an influence coefficient of the transition area and relative positions between multiple tooth orthodontic areas;

[0148] S166: Define each restoration node according to the restoration sequence and the corresponding tooth orthodontic coefficient. At this time, the restoration node is marked with the corresponding restoration means.

[0149] In the specific implementation process of the present invention, the orthodontic distribution map is frozen; multiple orthodontic areas are defined based on the orthodontic distribution map, and the relative positions between the multiple orthodontic areas are determined, so as to facilitate position comparison of the multiple orthodontic areas, and then define a transition area enclosed by two adjacent orthodontic areas according to the relative positions between the multiple orthodontic areas, so as to introduce the processing of the transition area, thereby controlling the influence of the part between the two adjacent orthodontic areas.

[0150] At this time, the influence coefficient of the transition zone is defined based on the length of the transition zone and the influence range of the two adjacent orthodontic zones, so as to introduce the influence coefficient of the transition zone and further control the influence coefficient of the transition zone. At the same time, the repair order of each orthodontic feature is determined according to the influence coefficient of the transition zone and the relative position between multiple orthodontic zones.

[0151] Furthermore, each restoration node is defined according to the restoration sequence and the corresponding tooth orthodontic coefficient. At this time, the restoration node is marked with the corresponding restoration means.

[0152] In an embodiment of the present invention, through the method in the embodiment of the present invention, the environmental control logic of the image capture component is triggered according to the environmental characteristics and the position of the image capture component, and the user's oral cavity is intelligently filled in with light according to the environmental control logic, thereby ensuring the shooting effect of the image capture component on the teeth and ensuring the accuracy of the tooth image.

[0153] At the same time, a dental panorama is constructed based on multiple dental images and facial images, and the location of the orthodontic area is determined based on the dental panorama; multi-dimensional detection is triggered according to the location of the orthodontic area to determine the orthodontic characteristics, thereby clarifying the orthodontic characteristics, and further controlling the incomplete and offset parts of the orthodontic characteristics to facilitate the construction of an orthodontic distribution map, thereby ensuring the detection accuracy of the orthodontic distribution map, and introducing various repair nodes for the orthodontic distribution map.

[0154] System Example

[0155] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of a tooth orthodontic detection system in an embodiment of the present invention.

[0156] like Figure 8 As shown, a tooth orthodontic detection system, the tooth orthodontic detection system comprises:

[0157] A collection module 21, used to collect multiple environmental parameters of the user's oral cavity and define environmental characteristics according to the multiple environmental parameters;

[0158] The fill light module 22 is used to trigger the environment control logic of the image capture element according to the environment characteristics and the location of the image capture element, and perform intelligent fill light processing on the user's oral cavity according to the environment control logic;

[0159] The image module 23 is used to collect the extension direction of the user's teeth when the image capturing element captures the user's teeth, and adjust the shooting direction of the shooting end of the image capturing element along the extension direction of the user's teeth, and obtain multiple tooth images and facial images;

[0160] A detection module 24 is used to construct a dental panorama based on multiple dental images and facial images, and determine the location of the dental orthodontic area based on the dental panorama; trigger multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features;

[0161] The orthodontic distribution map module 25 is used to define the missing part and the offset part according to the orthodontic characteristics of the teeth; and to construct the orthodontic distribution map according to the missing part and the offset part;

[0162] The repair module 26 is used to define the repair order of each orthodontic feature according to the orthodontic distribution map, and define each repair node according to the repair order and the corresponding orthodontic coefficient.

[0163] Device Embodiment

[0164] See also Fig. 9 , refer to the following Fig. 9The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0165] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0166] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0167] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0168] The storage unit 42 may also include a program / utility 424 having a set (at least one) of repair modules 425, such repair modules 425 including but not limited to: an operating system, one or more application programs, other repair modules, and program data, each of which or some combination may include an implementation of a network environment.

[0169] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0170] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0171] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0172] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0173] In addition, the above describes in detail the orthodontic detection method and system provided in the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for detecting orthodontic tooth, characterized in that: Applied to orthodontic testing scenarios; The tooth orthodontic detection method comprises: Collect multiple environmental parameters of the user's oral cavity, and define environmental characteristics according to the multiple environmental parameters; The environmental control logic of the image capture device is triggered according to the environmental characteristics and the location of the image capture device, and intelligent fill light processing is performed on the user's oral cavity according to the environmental control logic; When the image capturing element captures the teeth of the user, the extending direction of the teeth of the user is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extending direction of the teeth of the user, and a plurality of teeth images and facial images are acquired; Constructing a dental panorama based on multiple dental images and facial images, and determining the location of the dental orthodontic area based on the dental panorama; triggering multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features; Defining the missing part and the offset part according to the orthodontic characteristics of the teeth; constructing the orthodontic distribution map of the teeth according to the missing part and the offset part; The repair order of each tooth orthodontic feature is defined according to the tooth orthodontic distribution map, and each repair node is defined according to the repair order and the corresponding tooth orthodontic coefficient; The method of defining the incomplete part and the offset part according to the orthodontic characteristics of teeth; and constructing the orthodontic distribution map according to the incomplete part and the offset part includes: freezing the orthodontic characteristics of teeth; performing feature division on the orthodontic characteristics of teeth, and highlighting the contour line of the orthodontic characteristics of teeth; defining the incomplete part based on the contour line of the orthodontic characteristics of teeth and the non-closed-loop characteristics, and at the same time, defining the offset part based on the contour line of the orthodontic characteristics of teeth and the axis line characteristics; associating the incomplete part and the offset part, and defining the weights of the incomplete part and the offset part according to the age of teeth; defining the orthodontic coefficient according to the weight, the incomplete part and the offset part; collecting the relative position of each orthodontic characteristic of teeth, and matching the orthodontic coefficient to the corresponding relative position; and constructing the orthodontic distribution map according to the relative position of the orthodontic characteristics of teeth and each orthodontic coefficient of teeth; The method defines the repair order of each orthodontic feature according to the orthodontic distribution map, and defines each repair node according to the repair order and the corresponding orthodontic coefficient, including: freezing the orthodontic distribution map; defining multiple orthodontic areas based on the orthodontic distribution map, and determining the relative positions between the multiple orthodontic areas; defining a transition area enclosed by two adjacent orthodontic areas according to the relative positions between the multiple orthodontic areas; defining an influence coefficient of the transition area based on the length of the transition area and the influence range of the two adjacent orthodontic areas; determining the repair order of each orthodontic feature according to the influence coefficient of the transition area and the relative positions between the multiple orthodontic areas; defining each repair node according to the repair order and the corresponding orthodontic coefficient, and at this time, the repair node is marked with the corresponding repair means.

2. The orthodontic detection method according to claim 1, characterized in that: The collecting of multiple environmental parameters of the user's oral cavity and defining environmental characteristics according to the multiple environmental parameters include: Inserting the probe into the user's oral cavity and moving it along the extension direction of the user's teeth; The detection element detects the environment during movement and dynamically collects multiple environmental parameters of the user's oral cavity; Freeze multiple environmental parameters and define the position corresponding to each environmental parameter; Constructing environmental regions according to multiple environmental parameters and corresponding locations; In the environmental area, multiple parameter combinations are constructed according to multiple environmental parameters, and corresponding parameter features are defined based on the parameter combinations; Define environmental characteristics based on multiple parameter characteristics.

3. The orthodontic detection method according to claim 1, characterized in that: The environmental control logic of the image capturing element is triggered according to the environmental characteristics and the position of the image capturing element, and intelligent fill light processing is performed on the user's oral cavity according to the environmental control logic, including: Freeze the environmental features and the location of the image capture element; Associating environmental features with the location where the image is captured, and defining the environment of the location where the image is captured; Triggering the environment control logic of the image capture component according to the environment of the location where the image capture component is located; In the environment control logic, the environment type is defined according to the environment where the image is taken; The corresponding environmental control means are triggered according to the environment type, and the environmental control means and the location of the image shooting device are associated. At the same time, the user's oral cavity is intelligently filled with light according to the environmental control logic; in the intelligent fill light processing, the user's tooth arrangement size is collected, and the first lighting parameter is defined according to the tooth arrangement size and the width of each tooth, the second lighting parameter is defined based on the position of the teeth and the model of the fill light, the second lighting parameter and the first lighting parameter are associated, and the fill light range is defined according to the second lighting parameter and the first lighting parameter, and the fill light range is dynamically adjusted with the dynamic changes of the teeth.

4. The orthodontic detection method according to claim 3, characterized in that: When the image capturing element captures the user's teeth, the extension direction of the user's teeth is collected, and the shooting direction of the shooting end of the image capturing element is adjusted along the extension direction of the user's teeth, and a plurality of tooth images and facial images are obtained, including: In the environment after supplementary lighting, the user's teeth are photographed based on the image capturing element; When the image capturing element captures the user's teeth, an extension direction of the user's teeth is collected; Traversing the user's teeth along the extension direction of the user's teeth, and defining a floating range of the user's teeth; Define the shooting space according to the extension direction and floating range of the user's teeth; Adjusting the shooting direction of the shooting end of the image shooting component based on the shooting space and the extension direction of the user's teeth; The shooting direction of the shooting end of the image shooting component is fixed, and the teeth are photographed based on the shooting end of the image shooting component to obtain multiple tooth images and facial images.

5. The orthodontic detection method according to claim 4, characterized in that: The method comprises constructing a dental panorama based on the multiple dental images and the facial image, and determining the location of the dental orthodontic area based on the dental panorama; Trigger multi-dimensional detection based on the location of the orthodontic area to determine orthodontic features, including: Freeze multiple tooth images and mark the shooting order of the multiple tooth images; Sorting the plurality of tooth images based on the order of shooting to construct a tooth image set; A dental panorama is constructed based on a dental image set and a facial image; at this time, in the process of constructing the dental panorama, the contours between each tooth are marked based on the recognition of the dental image set, an independent image of each tooth is defined based on the contours between each tooth and the position of each tooth, a corresponding recessed portion is defined based on the recognition of each independent image of each tooth, and the grade of the corresponding tooth is defined for the recessed portion of each tooth and the contours between each tooth, and a presentation method of the dental panorama is defined based on the grades of multiple teeth and the outer contour presented by the facial image; Freeze the dental panorama and trigger the traversal of the dental panorama; Determine the orthodontic area of ​​the teeth based on the traversal of the dental panorama, and mark the location of the orthodontic area of ​​the teeth; Determine orthodontic features based on multi-dimensional detection of orthodontic areas.

6. A tooth orthodontic detection system, characterized in that: The orthodontic detection system is applied to the orthodontic detection method as described in any one of claims 1 to 5, and the orthodontic detection system comprises: A collection module, used to collect multiple environmental parameters of the user's oral cavity and define environmental characteristics according to the multiple environmental parameters; A fill light module is used to trigger the environment control logic of the image capture element according to the environment characteristics and the location of the image capture element, and to perform intelligent fill light processing on the user's oral cavity according to the environment control logic; An image module, used to collect the extension direction of the user's teeth when the image capturing element captures the user's teeth, and to adjust the shooting direction of the shooting end of the image capturing element along the extension direction of the user's teeth, and to obtain a plurality of tooth images and a facial image; A detection module, used to construct a dental panorama based on multiple dental images and facial images, and determine the location of the dental orthodontic area based on the dental panorama; trigger multi-dimensional detection according to the location of the dental orthodontic area to determine the dental orthodontic features; A tooth orthodontic distribution map module is used to define a missing part and an offset part according to the tooth orthodontic characteristics; and to construct an orthodontic distribution map according to the missing part and the offset part; A repair module, used to define the repair order of each tooth orthodontic feature according to the tooth orthodontic distribution map, and define each repair node according to the repair order and the corresponding tooth orthodontic coefficient; The method of defining the incomplete part and the offset part according to the orthodontic characteristics of teeth; and constructing the orthodontic distribution map according to the incomplete part and the offset part includes: freezing the orthodontic characteristics of teeth; performing feature division on the orthodontic characteristics of teeth, and highlighting the contour line of the orthodontic characteristics of teeth; defining the incomplete part based on the contour line of the orthodontic characteristics of teeth and the non-closed-loop characteristics, and at the same time, defining the offset part based on the contour line of the orthodontic characteristics of teeth and the axis line characteristics; associating the incomplete part and the offset part, and defining the weights of the incomplete part and the offset part according to the age of teeth; defining the orthodontic coefficient according to the weight, the incomplete part and the offset part; collecting the relative position of each orthodontic characteristic of teeth, and matching the orthodontic coefficient to the corresponding relative position; and constructing the orthodontic distribution map according to the relative position of the orthodontic characteristics of teeth and each orthodontic coefficient of teeth; The method defines the repair order of each orthodontic feature according to the orthodontic distribution map, and defines each repair node according to the repair order and the corresponding orthodontic coefficient, including: freezing the orthodontic distribution map; defining multiple orthodontic areas based on the orthodontic distribution map, and determining the relative positions between the multiple orthodontic areas; defining a transition area enclosed by two adjacent orthodontic areas according to the relative positions between the multiple orthodontic areas; defining an influence coefficient of the transition area based on the length of the transition area and the influence range of the two adjacent orthodontic areas; determining the repair order of each orthodontic feature according to the influence coefficient of the transition area and the relative positions between the multiple orthodontic areas; defining each repair node according to the repair order and the corresponding orthodontic coefficient, and at this time, the repair node is marked with the corresponding repair means.

Images