CN112884711A

CN112884711A - Dental crown identification method and device and electronic equipment

Info

Publication number: CN112884711A
Application number: CN202110087028.3A
Authority: CN
Inventors: 龙小平
Original assignee: Shanghai Aishengmei Technology Co ltd
Current assignee: Shanghai Emendi Material Technology Co ltd
Priority date: 2021-01-21
Filing date: 2021-01-21
Publication date: 2021-06-01
Anticipated expiration: 2041-01-21
Also published as: CN112884711B

Abstract

The invention provides a method and a device for identifying a dental crown and electronic equipment, wherein the method comprises the following steps: obtaining a dental model; determining the number of dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown; and sequentially identifying each dental crown according to the marked dental model. The invention can identify a plurality of crowns at a time and improve the identification efficiency.

Description

Dental crown identification method and device and electronic equipment

Technical Field

The invention relates to the technical field of digital orthodontics, in particular to a method and a device for identifying a dental crown and electronic equipment.

Background

In the field of digital orthodontic technology, preprocessing refers to adjusting, identifying, cutting, parameterizing and characteristic point marking a scanned digital model at an initial stage so as to obtain single and parameterized teeth, wherein identification is used for identifying the crown part of each tooth through simple interactive operation. At present, the common method for identifying the dental crown is based on single tooth identification, and the identification efficiency is low.

Disclosure of Invention

In view of this, the present invention provides a method, an apparatus and an electronic device for identifying a plurality of crowns, which can identify a plurality of crowns at a time and improve identification efficiency.

In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:

in a first aspect, an embodiment of the present invention provides a method for identifying a dental crown, including: obtaining a dental model; determining the number of dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown; and sequentially identifying each dental crown according to the marked dental model.

In one embodiment, the step of obtaining the dental model is followed by the step of: and traversing the top points in the dental model to obtain a first concave point set.

In one embodiment, the step of traversing vertices in the dental model to obtain the first set of inlines comprises: sequentially calculating the mean value of included angles between the normal vector of each vertex in the dental jaw model and the corresponding field triangular surface normal vector; and determining the vertex with the included angle mean value smaller than the preset value as a concave point, and adding the concave point to the first concave point set.

In one embodiment, the step of identifying each crown in turn from the marked dental model comprises: determining a right segmentation plane and a left segmentation plane of the individual crown from the proximal midpoint and the distal midpoint of the individual crown mark; determining a second pit set between the right segmentation plane and the left segmentation plane according to the first pit set; dividing the second concave point set into at least one concave point block set according to the connectivity of the vertexes in the dental model, and sequencing the concave point block sets; and determining a crown model according to the concave point block set.

In one embodiment, the step of determining a crown model from the set of concave point patches comprises: closing any two adjacent blocks in the concave point block set so as to communicate the two adjacent blocks to obtain a closed area; screening a boundary vertex set in the closed region so that the boundary vertex set divides a dental model of a single crown into two region models; and determining the region model of which the space region meets the preset rule in the two region models as a dental crown model.

In one embodiment, the step of determining a second set of pits between the right and left split planes from the first set of pits further comprises: the pits in the second set of pits that are not and are not dividing crowns are removed.

In one embodiment, the method further comprises: judging whether a coincident boundary vertex exists in the boundary vertex sets of the two adjacent dental crown models; and if the coincident boundary vertex exists, recalculating the boundary vertex set of the crown model.

In a second aspect, an embodiment of the present invention provides a crown identification device, including: the model acquisition module is used for acquiring a dental model; the marking module is used for determining the number of the dental crowns to be identified according to the dental jaw model and marking the mesial side and the distal side of each dental crown; and the recognition module is used for sequentially recognizing each dental crown according to the marked dental model.

In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method provided in any one of the above first aspects when executing the computer program.

In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of any one of the methods provided in the first aspect.

The embodiment of the invention has the following beneficial effects:

according to the method, the device and the electronic equipment for identifying the dental crown, which are provided by the embodiment of the invention, the dental jaw model can be obtained firstly; then determining the number of the dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown; and finally, sequentially identifying each dental crown according to the marked dental model. The method can simultaneously identify all the dental crowns in the dental model by marking the near middle points and the far middle points of all the dental crowns in the dental model in advance, thereby improving the identification efficiency.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of a crown identification method according to an embodiment of the present invention;

FIG. 2 is a flow chart of individual crown identification provided by an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a crown identification device according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

At present, in the field of digital orthodontic technology, preprocessing refers to adjusting, identifying, segmenting, parameterizing and marking feature points on a scanned digital model at an initial stage so as to obtain a single and parameterized tooth, wherein identification is performed to identify a crown part of each tooth through simple interactive operation, which is often the most time-consuming step in the whole preprocessing. The conventional method for identifying the dental crown is generally based on single tooth identification, and in the identification process, rework is often caused due to the problems of overlarge or undersize gap between adjacent teeth, occupation of boundary line and the like, and the efficiency is low.

Based on this, the method, the device and the electronic equipment for identifying the dental crowns provided by the embodiment of the invention can identify a plurality of dental crowns at a time, and improve the identification efficiency.

To facilitate understanding of the present embodiment, a detailed description will be given of a crown identification method disclosed in the present embodiment, which may be executed by an electronic device, referring to a flowchart of a crown identification method shown in fig. 1, which illustrates that the method mainly includes the following steps S102 to S106:

step S102: and obtaining the dental model.

In one embodiment, the dental model can be obtained by scanning the teeth with a mouth scanner, or can be obtained from a silicone rubber model of the teeth.

Step S104: the number of crowns to be identified is determined from the dental model and the near and far midpoints of each crown are marked.

Typically, an adult has 32 teeth in total, including incisors (4), lateral incisors (4), cuspids (4), bicuspids (4), premolars (4), first posterior molars (4), second posterior molars (4), and wisdom teeth (4). In one embodiment, the dentist can first determine the number of crowns to be identified, remove missing teeth, such as wisdom teeth, based on the patient's dental model; and then marking the near-middle point and the far-middle point of each dental crown to be identified, and determining the range of the dental crown to be identified, wherein the near-middle point is a point close to the incisor direction, and the far-middle point is a point far away from the incisor direction.

Step S106: and sequentially identifying each dental crown according to the marked dental model.

In one embodiment, after marking the near-middle point and the far-middle point of each crown to be identified, each crown may be identified in turn in the order of arrangement of the teeth until all crowns are identified and a set of crowns is obtained.

According to the dental crown identification method provided by the embodiment of the invention, a dental jaw model can be obtained firstly; then determining the number of the dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown; and finally, sequentially identifying each dental crown according to the marked dental model. The method can simultaneously identify all the dental crowns in the dental model by marking the near middle points and the far middle points of all the dental crowns in the dental model in advance, thereby improving the identification efficiency.

Further, with the crown identification method provided in the above embodiment, after the obtaining of the dental jaw model, the method further includes: and traversing the top points in the dental model to obtain a first concave point set. In one embodiment, the mean value of the included angles between the normal vector of each vertex in the dental model and the corresponding field triangular surface normal vector can be calculated in sequence; and determining the vertex with the included angle mean value smaller than the preset value as a concave point, and adding the concave point to the first concave point set. Specifically, the dental model is generally composed of model points covering the surface of the tooth crown, and the surface composed of the points adjacent to each vertex is the domain triangular surface of the point. The preset value can be 90 degrees, for each vertex, the average value of the included angle between the normal vector of the point and the normal vector of the triangular surface in the field of the point is calculated, if the average value of the included angle is less than 90 degrees, the point is a concave point, and the concave point can be added into the first concave point set.

For the convenience of understanding, the embodiment of the present invention further provides a specific implementation manner of sequentially identifying each dental crown according to the marked dental model, referring to a flowchart of identifying a single dental crown shown in fig. 2, that is, the above step S106 can be performed according to the following steps S202 to S210:

step S202: a right and left segmentation plane of the individual crown is determined from the proximal and distal midpoints of the individual crown landmarks.

In one embodiment, the plane passing through the near and far midpoints can be generated by taking the connecting line of the near and far midpoints of each crown as a normal vector, namely, the right and left segmentation planes of the single crown.

Step S204: a second set of pits between the right and left split planes is determined from the first set of pits.

Specifically, the first pit set is traversed to obtain a second pit set between the right split plane and the left split plane.

Step S206: the pits in the second set of pits that are not and are not dividing crowns are removed.

In one embodiment, it may be determined from the location of each of the second set of depressions whether the depression is a depression that separates a crown from a gum or a crown, and if not a depression that clearly separates a crown from a gum or a crown, the depression is removed.

Step S208: and dividing the second concave point set into at least one concave point block set according to the connectivity of the vertexes in the dental model, and sequencing the concave point block sets.

In one embodiment, the connectivity of the vertices of the dental model is defined as: for any vertex p1 in the dental model and the other vertex p2 in the dental model, if p2 and p1 are on a triangular surface, the vertex p1 and the vertex p2 are communicated. The second set of pits can be divided into at least one set of pit blocks according to the connectivity of the vertices, and the sets of pit blocks can be ordered according to the shape of the set of pit blocks such that two subscript-adjacent blocks of the set of pit blocks are also adjacent in the dental model.

Step S210: and determining a crown model according to the concave point block set.

In one embodiment, the above identification process mainly includes the following steps (1) to (3):

step (1): and closing any two adjacent blocks in the concave point block set so as to communicate the two adjacent blocks to obtain a closed area.

Specifically, the top points except any two adjacent blocks in the screened dental model are added into the concave point block set, so that the two adjacent blocks can be communicated, and finally all the blocks are communicated to form a closed area; if only one block exists in the initial concave point block set, screening vertexes, except the block, in the dental model, adding the vertexes to the concave point block set to form a closed area.

Step (2): the set of boundary vertices in the enclosed region is screened such that the set of boundary vertices divides the dental model of the single crown into two region models.

In one embodiment, for the closed region formed in step (1), a frame of the closed region may be extracted, that is, a boundary vertex set of the closed region is screened, so that the boundary vertex set maintains the shape of the closed region and forms a closed ring, that is, the boundary vertex set may divide the jazz model into two region models.

And (3): and determining the region model of which the space region meets the preset rule in the two region models as a dental crown model.

In one embodiment, for two region models divided by the set of boundary vertices, a crown model (i.e., a preset rule) may be determined according to the size of the spatial region area of each region model, and the region model with the small spatial region is selected as the identified crown model.

Further, all the crowns identified in the above steps S202 to S210 may be repeated according to the arrangement order of the crowns, resulting in a crown set.

Considering that, because the identification of a single tooth does not take into account the factors of adjacent teeth, in many cases, in order to restore the real situation in the oral cavity of a patient, a gap with a certain size is required between two adjacent teeth, but the gap between two adjacent teeth cannot be determined by the prior art. Based on this, the method provided by the embodiment of the present invention further includes: judging whether a coincident boundary vertex exists in the boundary vertex sets of the two adjacent dental crown models; and if the coincident boundary vertex exists, recalculating the boundary vertex set of the crown model.

In one embodiment, the obtained crown set can be traversed, whether the boundary vertex sets of two adjacent crowns are overlapped is judged, and if not, the crown identification is finished; if so, the overlapped part is removed. Specifically, assume that there is coincidence between the boundary vertex sets B1 and B2 of the crown models T1 and T2, let B11 and B12 be a boundary vertex set with coincidence and a boundary vertex set without coincidence for B1 and B2, respectively, and B21 and B22 be a boundary vertex set with coincidence and a boundary vertex set without coincidence for B2 and B1, respectively, and then recalculate B11 and B21 as B11 'and B21', so that B11 'and B21' maintain the shapes of B11 and B21, and B11 'and B21' do not overlap. Thus, B11 'and B12 may constitute a new set of boundary vertices for the crown model T1 and update T1 to T1', while B21 'and B22 constitute a new set of boundary vertices for the crown model T2 and update T2 to T2'.

Further, the embodiment of the present invention further provides a specific implementation manner of dental crown identification, which mainly includes the following steps 1 to 12:

step 1: and traversing the vertex of the dental model to obtain a concave point set S. Specifically, traversing vertexes of the dental model, calculating an included angle mean value a between a normal vector of the point and a field triangular surface normal vector of each vertex, and if a is smaller than 90 degrees, the point is a concave point and is added into a concave point set S.

Step 2: determining the number m of crowns to be identified, marking the near-middle point and the far-middle point of each crown, and identifying each crown according to the following steps 3 to 9.

And step 3: a right and left segmentation plane1, 2 of the individual crowns are determined.

And 4, step 4: the set of pits S is traversed and a set of pits S1 between the planes, plane1 and plane2, is determined.

And 5: the concave points in the concave point set S1, which are not obvious dividing the crown and the gum, the crown and the crown, are removed to obtain a concave point set S2.

Step 6: according to the connectivity of vertexes of the dental model, the concave point set S2 is divided into a plurality of concave point sets to obtain a concave point block set A, and the concave point block set A is sequenced according to the shape of the concave point set S2, so that blocks with two subscripts adjacent to each other in the concave point block set A are also adjacent to each other in the dental model. Specifically, it can be noted that the pit block set a ═ { a1, a2, …, An }, and it can be known from the dental model as a whole that a1 and An are also adjacent.

And 7: and closing any two adjacent blocks in the pit block set A. Specifically, a vertex except any two adjacent blocks in the screened dental model is added into a concave point block set A, so that the two adjacent blocks can be communicated, and finally all the blocks form a closed area which is marked as AC; if the initial concave point block set A only has one block, the top points of the screened dental model except the block are added into the concave point block set A to form a closed area.

And 8: the frame of the enclosed area AC is extracted. That is, the boundary vertex set B in the AC is filtered out, so that the boundary vertex set maintains the shape of the closed region AC and the boundary vertex set B may form a closed ring.

And step 9: the boundary vertex set B divides the dental model into two region models, and the region model with a small space region is selected as the identified crown model.

Step 10: and (3) repeating the steps 3 to 9 according to the arrangement sequence of the actual crowns to identify all crowns, and obtaining a crown set T { T1, T2, …, Tm }.

Step 11: traversing the dental crown set T, judging whether the boundary vertex sets B of two adjacent dental crown models have overlapping conditions, and if not, executing the step 12; if so, the overlap is removed.

Specifically, for example, the boundary vertex sets B1 and B2 of the crown model T1 and T2 are overlapped, B11 and B12 are boundary vertex sets with overlapping and non-overlapping of B1 and B2, B21 and B22 are boundary vertex sets with overlapping and non-overlapping of B2 and B1, and then B11 and B21 are recalculated to be B11 'and B21', so that B11 'and B21' keep the shapes of B11 and B21 as much as possible, and B11 'and B21' have no overlapping condition; b11 'and B12 form a new boundary vertex set B1' of T1, step 9 is executed to update T1 to T1 ', B21' and B22 form a new boundary vertex set B2 'of T2, step 9 is executed to update T2 to T2', and the operated crown set is still T, T ═ T1 ', T2', T3, …, Tm }.

Step 12: and finishing the identification of the dental crown.

In summary, the dental crown identification method provided by the embodiment of the present invention can identify all dental crowns in a single jaw at the same time by pre-marking the near center point and the far center point for all teeth, so as to obtain the boundary line of each dental crown and adjust the boundaries of the teeth, so as to adjust the boundary line of two determined gaps between teeth; in addition, a plurality of crowns are identified at a time, so that the tooth identification efficiency can be effectively improved.

For the foregoing method for identifying a dental crown, an embodiment of the present invention further provides a device for identifying a dental crown, referring to a schematic structural diagram of a device for identifying a dental crown shown in fig. 3, which is shown to mainly include:

a model obtaining module 301, configured to obtain a dental model.

A marking module 302 for determining the number of crowns to be identified according to the dental model and marking the near-middle point and the far-middle point of each crown.

And the identification module 303 is used for sequentially identifying each dental crown according to the marked dental model.

The dental crown recognition device provided by the embodiment of the invention can firstly obtain a dental jaw model; then determining the number of the dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown; and finally, sequentially identifying each dental crown according to the marked dental model. The device can simultaneously identify all the crowns of the single jaw in the dental model by marking the near middle points and the far middle points of all the crowns in the dental model in advance, thereby improving the identification efficiency.

In one embodiment, the apparatus further comprises a traversal module for traversing vertices in the dental model to obtain a first set of concave points.

In an embodiment, the traversing module is further configured to sequentially calculate an average value of included angles between a normal vector of each vertex in the dental model and a corresponding domain triangular surface normal vector; and determining the vertex with the included angle mean value smaller than the preset value as a concave point, and adding the concave point to the first concave point set.

In one embodiment, the identification module 303 is further configured to determine a left-cut surface and a right-cut surface of the individual crown according to the proximal midpoint and the distal midpoint of the individual crown mark; determining a second concave point set between the left dividing surface and the right dividing surface according to the first concave point set; dividing the second concave point set into at least one concave point block set according to the connectivity of the vertexes in the dental model, and sequencing the concave point block sets; and determining a crown model according to the concave point block set.

In an embodiment, the identifying module 303 is further configured to close any two adjacent blocks in the pit partitioning set, so that the two adjacent blocks are connected to obtain a closed region; screening a boundary vertex set in the closed region so that the boundary vertex set divides a dental model of a single crown into two region models; and determining the region model of which the space region meets the preset rule in the two region models as a dental crown model.

In one embodiment, the identification module 303 is further configured to remove the pits in the second set of pits that are not dental crowns and gingiva segmented and are not dental crowns and gingiva segmented.

In one embodiment, the device further comprises a judging module for judging whether a coincident boundary vertex exists in the boundary vertex sets of two adjacent crown models; and if the coincident boundary vertex exists, recalculating the boundary vertex set of the crown model.

The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.

The embodiment of the invention also provides electronic equipment, which specifically comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above embodiments.

Fig. 4 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present invention, where the electronic device 100 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; the processor 40 is arranged to execute executable modules, such as computer programs, stored in the memory 41.

The Memory 41 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.

The bus 42 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.

The memory 41 is used for storing a program, the processor 40 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 40, or implemented by the processor 40.

The processor 40 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 40. The Processor 40 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the method in combination with the hardware thereof.

The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method of identifying a crown of a tooth, comprising:

obtaining a dental model;

determining the number of dental crowns to be identified according to the dental model, and marking the near midpoint and the far midpoint of each dental crown;

and sequentially identifying each dental crown according to the marked dental model.

2. The method of claim 1, wherein the step of obtaining the dental model is followed by further comprising:

and traversing the top points in the dental model to obtain a first concave point set.

3. The method of claim 2, wherein the step of traversing vertices in the dental model to obtain a first set of pits comprises:

sequentially calculating the mean value of included angles between the normal vector of each vertex in the dental model and the corresponding field triangular surface normal vector;

and determining the vertex with the included angle mean value smaller than a preset value as a concave point, and adding the concave point to a first concave point set.

4. A method according to claim 3, wherein the step of identifying each crown in turn from the marked dental model comprises:

determining a right and left segmentation plane of an individual crown from the proximal and distal points of the individual crown mark;

determining a second set of pits between the right partition plane and the left partition plane from the first set of pits;

dividing the second concave point set into at least one concave point block set according to the connectivity of the vertexes in the dental model, and sequencing the concave point block sets;

and determining a crown model according to the concave point block set.

5. The method according to claim 4, wherein the step of determining a crown model from the set of concave point partitions comprises:

closing any two adjacent blocks in the concave point block set to enable the two adjacent blocks to be communicated to obtain a closed area;

screening a boundary vertex set in the closed region so that the boundary vertex set divides a dental model of a single crown into two region models;

and determining the region model of which the space region meets the preset rule in the two region models as a dental crown model.

6. The method of claim 4, wherein the step of determining a second set of pits between the right partition plane and the left partition plane from the first set of pits is followed by further comprising:

removing pits in the second set of pits that are not and are not dividing crowns.

7. The method of claim 5, further comprising:

judging whether a coincident boundary vertex exists in the boundary vertex sets of two adjacent dental crown models;

and if the coincident boundary vertex exists, recalculating the boundary vertex set of the crown model.

8. A crown identification device, comprising:

the model acquisition module is used for acquiring a dental model;

the marking module is used for determining the number of the dental crowns to be identified according to the dental model and marking the mesial side and the distal side of each dental crown;

and the recognition module is used for sequentially recognizing each dental crown according to the marked dental model.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.