CN112884711B - Dental crown identification method and device and electronic equipment - Google Patents
Dental crown identification method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a method and a device for identifying dental crowns and electronic equipment, comprising 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 dental crowns at a time, and improves the identification efficiency.
Description
Technical Field
The present invention relates to the field of digital orthodontic technology, and in particular, to a method and an apparatus for identifying a dental crown, and an electronic device.
Background
In the technical field of digital orthodontic, preprocessing refers to the steps of adjusting, identifying, cutting, parameterizing and marking characteristic points on a digital model obtained by scanning in an initial stage, so as to obtain single and parameterized teeth, wherein the identification function is to identify crown parts of each tooth through simple interactive operation. At present, common methods for identifying dental crowns are based on single teeth, and the identification efficiency is low.
Disclosure of Invention
Accordingly, the present invention is directed to a method and apparatus for recognizing a dental crown, and an electronic device, which can recognize a plurality of dental crowns at a time, thereby improving recognition efficiency.
In order to achieve the above object, the technical scheme adopted by the embodiment of the invention is as follows:
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, after the step of obtaining the dental model, further comprising: traversing the vertexes 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 a first set of pits comprises: sequentially calculating the average value of the included angles between the normal vector of each vertex in the dental model and the normal vector of the triangular surface in the corresponding field; and determining the vertex with the included angle mean value smaller than the preset value as a concave point, and adding the concave point into the first concave point collection.
In one embodiment, the step of sequentially identifying each crown according to the labeled dental model includes: determining a right segmentation plane and a left segmentation plane of the single crown from the proximal and distal midpoints of the single crown mark; determining a second set of pits between the right segmentation plane and the left segmentation plane according to 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; a crown model is determined from the set of concave point segments.
In one embodiment, the step of determining a crown model from the set of concave point segments comprises: closing any adjacent two of the concave point block sets to enable the adjacent two blocks to be communicated, so as to obtain a closed area; screening the boundary vertex set in the closed area so that the boundary vertex set divides the dental model of the single dental crown into two area models; and determining the region model, in which the space region in the two region models meets the preset rule, as a dental crown model.
In one embodiment, after the step of determining the second set of pits between the right and left split planes from the first set of pits, further comprises: removing pits that are not the segmentation of the crown and the gum from the second set of pits, and pits that are not the segmentation of the crown and the crown.
In one embodiment, the method further comprises: judging whether the boundary vertex sets of two adjacent dental crown models have coincident boundary vertices or not; if there are coincident boundary vertices, the set of boundary vertices of the crown model is recalculated.
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 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 identification module is used for sequentially identifying each dental crown according to the marked dental model.
In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of the first aspects provided above when the computer program is executed by the processor.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium having a computer program stored thereon, which when executed by a processor performs the steps of the method of any of the first aspects provided above.
The embodiment of the invention has the following beneficial effects:
the method, the device and the electronic equipment for identifying the dental crowns provided by the embodiment of the invention can firstly obtain a dental model; then 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 finally, sequentially identifying each dental crown according to the marked dental model. According to the method, all crowns of a single jaw in the dental model can be identified simultaneously by marking the near midpoint and the far midpoint of all crowns in the dental model in advance, so that the identification efficiency can be improved.
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 above objects, features and advantages of the present invention more 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 that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for identifying a dental crown according to an embodiment of the present invention;
FIG. 2 is a flow chart of a single crown identification provided by an embodiment of the present invention;
fig. 3 is a schematic structural view 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
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, 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 embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Currently, in the technical field of digital orthodontic, preprocessing refers to the steps of adjusting, identifying, cutting, parameterizing and marking characteristic points on a digital model obtained by scanning in an initial stage, so as to obtain single and parameterized teeth, wherein the identification function is to identify crown parts of each tooth through simple interaction operation, which is often the time-consuming step in the whole preprocessing. The common method for identifying the dental crowns is usually based on single tooth identification, and in the identification process, reworking is often caused by the problems of overlarge or overlarge gaps between adjacent teeth, occupation of boundary lines and the like, and the efficiency is relatively low.
Based on the above, 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.
For the sake of understanding the present embodiment, a detailed description will be given first of a method for identifying a dental crown according to an embodiment of the present invention, which may be executed by an electronic device, referring to a flowchart of a method for identifying a dental crown shown in fig. 1, which mainly includes the following steps S102 to S106:
step S102: a dental model is acquired.
In one embodiment, the dental model may be obtained by scanning teeth with an oral scanner or may be obtained from a silicone model of 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.
In general, there are 32 teeth in total for adults, including incisors (4), side incisors (4), cuspids (4), bicuspids (4), premolars (4), first rear molars (4), second rear molars (4), and wisdom teeth (4). In one embodiment, a dentist may first determine the number of crowns to be identified, based on a dental model of a patient, removing missing teeth, such as wisdom teeth; and then marking the near midpoint and the far midpoint of each dental crown to be identified, and determining the range of the dental crowns to be identified, wherein the near midpoint is a point close to the incisor direction, and the far midpoint 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 and far midpoints of each crown to be identified, each crown may be sequentially identified according to the arrangement sequence of the teeth until all crowns are identified, and a set of crowns is obtained.
The dental crown identification method provided by the embodiment of the invention can firstly obtain a dental model; then 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 finally, sequentially identifying each dental crown according to the marked dental model. According to the method, all crowns of a single jaw in the dental model can be identified simultaneously by marking the near midpoint and the far midpoint of all crowns in the dental model in advance, so that the identification efficiency can be improved.
Further, with the crown identification method provided in the above embodiment, after the dental model is acquired, the method further includes: traversing the vertexes in the dental model to obtain a first concave point set. In one embodiment, the average value of the included angles between the normal vector of each vertex in the dental model and the normal vector of the corresponding field triangular surface 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 into the first concave point collection. Specifically, the dental model is generally composed of model points covering the surface of a dental crown, and the face composed of points adjacent to each vertex is the field triangular face of the point. The preset value may be 90 degrees, for each vertex, calculating the average value of the included angle between the normal vector of the vertex and the normal vector of the triangular surface in the field, if the average value of the included angle is smaller than 90 degrees, the vertex is a concave point, and the vertex may be added into the first concave point set.
For easy understanding, the embodiment of the present invention further provides a specific implementation manner of identifying each crown in turn according to the labeled dental model, referring to a flowchart of single crown identification shown in fig. 2, that is, for the above step S106, the following steps S202 to S210 may be performed:
step S202: the right and left segmentation planes of the individual crowns are determined from the proximal and distal midpoints of the individual crown marks.
In one embodiment, a line connecting a near midpoint and a far midpoint of each crown may be used as a normal vector to generate planes exceeding the near midpoint and the far midpoint, i.e., a right division plane and a left division plane of a single crown.
Step S204: a second set of pits is determined between the right and left split planes from the first set of pits.
Specifically, the first set of pits is traversed to obtain a second set of pits between the right segmentation plane and the left segmentation plane.
Step S206: removing pits that are not the segmentation of the crown and the gum from the second set of pits, and pits that are not the segmentation of the crown and the crown.
In one embodiment, it may be determined whether each of the second set of pits is a pit that segments the crown and the gum or segments the crown and the crown, and if not, the pit that segments the crown and the gum or segments the crown and the crown is removed.
Step S208: 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, connectivity of the dental model vertices is defined as: for any one of the apexes p1 and p2 in the dental model, if p2 and p1 are on a triangle plane, the apexes p1 and p2 are said to be connected. The second set of pits may be divided into at least one set of pit blocks according to connectivity of the vertices, and the set of pit blocks may be ordered according to shapes of the set of pit blocks such that adjacent blocks of two subscripts of the set of pit blocks are also adjacent in the dental model.
Step S210: a crown model is determined from the set of concave point segments.
In one embodiment, the above identification process mainly includes the following steps (1) to (3):
step (1): and closing any adjacent two of the concave point block sets to enable the adjacent two blocks to be communicated, so as to obtain a closed area.
Specifically, the vertexes except any two adjacent blocks in the dental model are selected and added into the concave point block set, so that the two adjacent blocks can be communicated, and all the blocks are communicated to form a closed area; if only one block exists in the initial concave point block set, the vertexes outside the block in the dental model are selected and added into 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 divide the dental model of a single crown into two region models.
In one embodiment, for the closed region formed in step (1), the frame of the closed region may be extracted, i.e. the set of boundary vertices of the closed region may be screened, such that the set of boundary vertices maintains the shape of the closed region and form a closed loop, i.e. the set of boundary vertices may divide the yajie model into two region models.
Step (3): and determining the region model, in which the space region in the two region models meets the preset rule, as a dental crown model.
In one embodiment, for two region models divided by the boundary vertex set, 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 a region model with a small spatial region may be selected as the identified crown model.
Further, all the crowns can be identified by repeating the above steps S202 to S210 in the arrangement order of the crowns, to obtain a set of crowns.
In view of the fact that identification of a single tooth does not take into account the factors of adjacent teeth, in many cases it is necessary to require a certain size of gap between two adjacent teeth in order to restore the realism of the patient's mouth, but the prior art is unable to determine the gap between two adjacent teeth. Based on this, the method provided by the embodiment of the invention further includes: judging whether the boundary vertex sets of two adjacent dental crown models have coincident boundary vertices or not; if there are coincident boundary vertices, the set of boundary vertices of the crown model is recalculated.
In one embodiment, the obtained crown set may be traversed, and whether the boundary vertex sets of two adjacent crowns are overlapped or not is judged, if not, the crown identification is finished; and if so, removing the overlapped part. Specifically, assuming that the boundary vertex sets B1 and B2 of the crown models T1 and T2 have coincidence, let B11 and B12 be the boundary vertex sets B1 and B2 having coincidence and the boundary vertex sets not having coincidence, respectively, and B21 and B22 be the boundary vertex sets B2 and B1 having coincidence and the boundary vertex sets not having coincidence, respectively, then B11 and B21 are recalculated 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 can be made up of a new set of boundary vertices of the crown model T1 and T1 updated to T1', while B21 'and B22 are made up of a new set of boundary vertices of the crown model T2 and T2 updated to T2'.
Further, the embodiment of the invention also provides a specific implementation manner of the dental crown identification, which mainly comprises the following steps 1 to 12:
step 1: traversing the vertexes of the dental model to obtain a concave point set S. Specifically, traversing the vertexes of the dental model, calculating an included angle mean value a between the normal vector of the point and the normal vector of the triangular surface in the field of the vertex, if a is smaller than 90 degrees, the point is a concave point, and adding the concave point into a concave point set S.
Step 2: determining the number m of crowns to be identified, marking the near and far midpoints of each crown, and identifying each crown according to the following steps 3 to 9.
Step 3: right and left split planes plane1 and plane2 of a single crown are determined.
Step 4: traversing the set of pits S, determining a set of pits S1 between the planes of plane1 and plane2.
Step 5: the pits of the crown and the gum, the crown and the crown are not obviously divided in the pit set S1, and the pit set S2 is obtained.
Step 6: according to connectivity of the dental model vertexes, 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 ordered according to the shape of the concave point set S2, so that adjacent blocks of two subscripts in the concave point block set A are also adjacent in the dental model. Specifically, the concave point block set a= { A1, A2, …, an }, and A1 and An are adjacent as well, which is known from the dental model being a whole.
Step 7: any two adjacent blocks in the closed pit block set A. Specifically, the vertexes except any two adjacent blocks in the dental model are selected and added into the concave point block set A, so that the two adjacent blocks can be communicated, and all the blocks form a closed area which is marked as AC; if the initial set of concave point segments A has only one segment, the vertices outside the segment in the dental model are screened and added to the set of concave point segments A to form a closed area.
Step 8: the frame of the enclosed area AC is extracted. That is, the set of boundary vertices B in AC are filtered out such that the set of boundary vertices maintain the shape of the closed region AC and the set of boundary vertices B may form a closed loop.
Step 9: the boundary vertex set B divides the dental model into two area models, and the area model with small space area is selected as the identified dental crown model.
Step 10: and (3) repeating the steps 3 to 9 according to the arrangement sequence of the actual dental crowns to identify all the dental crowns, and obtaining a set T= { T1, T2, …, tm }.
Step 11: traversing the crown set T, judging whether the boundary vertex sets B of two adjacent crown models are overlapped, and if not, executing the step 12; and if so, removing the overlapping.
Specifically, for example, the boundary vertex sets B1 and B2 of the crown models T1 and T2 overlap, let B11 and B12 be the boundary vertex sets with and without overlapping B1 and B2, respectively, and B21 and B22 be the boundary vertex sets with and without overlapping B2 and B1, respectively, and then recalculate B11 and B21 to B11 'and B21' so that B11 'and B21' maintain the shapes of B11 and B21 as much as possible, and B11 'and B21' have no overlapping condition; the new boundary vertex set B1 'of T1 is formed by B11' and B12, step 9 is performed to update T1 to T1', the new boundary vertex set B2' of T2 is formed by B21 'and B22, step 9 is performed to update T2 to T2', and the crown set after the recording operation is still T, t= { T1', T2', T3, …, tm }.
Step 12: the crown identification ends.
In summary, the above-mentioned crown identification method provided by the embodiment of the present invention may identify all crowns of a single jaw simultaneously by marking all the teeth with near-middle points and far-middle points in advance, so that the boundary line of the teeth can be obtained while each crown is obtained, and the boundary of the teeth may be adjusted respectively, so that the gap between two determined teeth may be achieved by adjusting the boundary line of the teeth; in addition, a plurality of crowns can be identified at a time, so that the tooth identification efficiency can be effectively improved.
For the foregoing crown identification method, the embodiment of the present invention further provides a crown identification device, referring to a schematic structural diagram of the crown identification device shown in fig. 3, which illustrates that the device mainly includes:
the model acquisition module 301 is configured to acquire a dental model.
A marking module 302 is configured to determine the number of crowns to be identified according to the dental model, and mark the near and far midpoints of each crown.
The identifying module 303 is configured to identify each crown in turn according to the labeled dental model.
The dental crown recognition device provided by the embodiment of the invention can firstly acquire a dental model; then 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 finally, sequentially identifying each dental crown according to the marked dental model. The device can simultaneously identify all crowns of a single jaw in the dental model by marking the near midpoint and the far midpoint of all crowns in the dental model in advance, so that the identification efficiency can be improved.
In one embodiment, the apparatus further includes a traversing module configured to traverse vertices in the dental model to obtain a first set of pits.
In one embodiment, the traversing module is further configured to sequentially calculate an average value of an included angle between a normal vector of each vertex in the dental model and a normal vector of a corresponding field triangular surface; and determining the vertex with the included angle mean value smaller than the preset value as a concave point, and adding the concave point into the first concave point collection.
In one embodiment, the identification module 303 is further configured to determine a left segmentation plane and a right segmentation plane of the single crown according to a proximal midpoint and a distal midpoint of the single crown mark; determining a second concave point set between the left segmentation surface and the right segmentation 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; a crown model is determined from the set of concave point segments.
In one embodiment, the identifying module 303 is further configured to close any two adjacent blocks in the pit block set, so that the two adjacent blocks are communicated to obtain a closed area; screening the boundary vertex set in the closed area so that the boundary vertex set divides the dental model of the single dental crown into two area models; and determining the region model, in which the space region in the two region models meets the preset rule, as a dental crown model.
In one embodiment, the identification module 303 is further configured to remove pits that are not the segmentation of the crown and the gum and pits that are not the segmentation of the crown and the crown in the second set of pits.
In one embodiment, the apparatus further includes a judging module, configured to judge whether there are coincident boundary vertices in the boundary vertex sets of two adjacent crown models; if there are coincident boundary vertices, the set of boundary vertices of the crown model is recalculated.
The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage device; the storage means has stored thereon a computer program which, when run by a processor, performs the method according to any of the above embodiments.
Fig. 4 is a schematic structural diagram of an electronic device 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, the processor 40, the communication interface 43 and the memory 41 being connected by 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, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and the at least one other network element is achieved via at least one communication interface 43 (which may be wired or wireless), which may use the internet, a wide area network, a local network, a metropolitan area network, etc.
Bus 42 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 4, but not only one bus or type of bus.
The memory 41 is configured to store a program, and the processor 40 executes the program after receiving an execution instruction, and a method executed by the apparatus for defining a 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 circuitry in hardware or instructions in software in processor 40. The processor 40 may be a general-purpose processor, including a central processing unit (CPU, central Processing Unit), a network processor (NP, network Processor), etc.; but may also be a digital signal processor (DSP, digital Signal Processing), an application specific integrated circuit (ASIC, application Specific Integrated Circuit), an off-the-shelf programmable gate array (FPGA, field-Programmable Gate Array) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks 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 embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as 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 in combination with its hardware performs the steps of the method described above.
The computer program product of the readable storage medium provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and the specific implementation may refer to the foregoing method embodiment and will not be described herein.
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 this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (7)
1. A method of identifying a crown, 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;
sequentially identifying each dental crown according to the marked dental model;
after the step of obtaining the dental model, the method further comprises the following steps: traversing the vertexes in the dental model to obtain a first concave point set;
the step of identifying each dental crown in turn according to the marked dental model comprises the following steps: determining a right segmentation plane and a left segmentation plane of a single crown from a proximal midpoint and a distal midpoint of the single crown mark; determining a second set of pits between the right and left split planes 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; determining a dental crown model according to the pit block set;
determining the right and left segmentation planes of a single crown from the proximal and distal midpoints of the single crown mark comprises: generating planes passing through the near midpoint and the far midpoint by taking a connecting line of the near midpoint and the far midpoint of each dental crown as normal vectors, namely a right segmentation plane and a left segmentation plane of the single dental crown;
connectivity of the dental model vertices 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 triangle surface, the vertex p1 and the vertex p2 are called to be communicated;
the step of determining a crown model from the set of pit blocks comprises: closing any two adjacent blocks in the concave point block set so as to enable the two adjacent blocks to be communicated to obtain a closed area; screening a boundary vertex set in the closed area so that the boundary vertex set divides a dental model of a single dental crown into two area models; determining an area model, wherein the space area of the area model accords with a preset rule, as a dental crown model; wherein the preset rules include determining a crown model from the spatial region area size of each region model.
2. The method of claim 1, wherein the step of traversing vertices in the dental model to obtain a first set of pits comprises:
sequentially calculating the average value of an included angle between the normal vector of each vertex in the dental model and the normal vector of the corresponding field triangular surface;
and determining the peak of the included angle mean value smaller than a preset value as a concave point, and adding the concave point into a first concave point collection.
3. The method of claim 1, wherein after the step of determining a second set of pits between the right and left split planes from the first set of pits, further comprising:
removing pits that are not the segmentation of the crown and the gum and pits that are not the segmentation of the crown and the crown from the second set of pits.
4. The method according to claim 1, wherein the method further comprises:
judging whether the boundary vertex sets of two adjacent dental crown models have coincident boundary vertices or not;
if there are coincident boundary vertices, the set of boundary vertices of the crown model is recalculated.
5. A crown identification device, comprising:
the model acquisition module is used for acquiring a dental model;
a marking module for determining the number of crowns to be identified according to the dental model and marking the mesial side and the distal side of each crown;
the identification module is used for sequentially identifying each dental crown according to the marked dental model;
the device further comprises a traversing module for traversing the vertexes in the dental model to obtain a first concave point set;
the identification module is also used for: determining a right segmentation plane and a left segmentation plane of a single crown from a proximal midpoint and a distal midpoint of the single crown mark; determining a second set of pits between the right and left split planes 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; determining a dental crown model according to the pit block set;
the identification module is also used for: generating planes passing through the near midpoint and the far midpoint by taking a connecting line of the near midpoint and the far midpoint of each dental crown as normal vectors, namely a right segmentation plane and a left segmentation plane of the single dental crown;
connectivity of the dental model vertices 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 triangle surface, the vertex p1 and the vertex p2 are called to be communicated;
the identification module is also used for: closing any two adjacent blocks in the concave point block set so as to enable the two adjacent blocks to be communicated to obtain a closed area; screening a boundary vertex set in the closed area so that the boundary vertex set divides a dental model of a single dental crown into two area models; determining an area model, wherein the space area of the area model accords with a preset rule, as a dental crown model; wherein the preset rules include determining a crown model from the spatial region area size of each region model.
6. 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 processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when run by a processor performs the steps of the method according to any of claims 1 to 4.
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| US20100167243A1 (en) * | 2008-12-31 | 2010-07-01 | Anton Spiridonov | System and method for automatic construction of realistic looking tooth roots |
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| CN105030347A (en) * | 2015-07-23 | 2015-11-11 | 南京航空航天大学 | Digital orthodontic tooth arrangement method based on tooth root information and bracket transfer device designing method based on digital orthodontic tooth arrangement method |
| CN110135397A (en) * | 2019-05-27 | 2019-08-16 | 上海爱圣美科技有限公司 | A method of identification three-dimensional tooth model dens in dente crown moieties |
| CN110164558A (en) * | 2019-05-27 | 2019-08-23 | 上海爱圣美科技有限公司 | A kind of method of tooth model parametrization |
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