Oral cavity anterior tooth anti-jaw detection method and system based on image recognition

Abstract

The invention discloses an oral cavity anterior tooth anti-jaw detection method and system based on image recognition, and particularly relates to the technical field of oral cavity anterior tooth anti-jaw detection.The method comprises the first step of obtaining an oral cavity anterior tooth detection image, the second step of extracting all feature indexes of the oral cavity anterior tooth detection image, the third step of analyzing all the feature indexes of the oral cavity anterior tooth detection image, and the fourth step of determining the oral cavity anterior tooth anti-jaw detection result. And 4, outputting an oral cavity anterior tooth anti-jaw detection result. According to the method, the upper anterior teeth and the lower anterior teeth of the oral anterior teeth of the detected person are analyzed, and multiple characteristic indexes such as the anterior tooth protruding distance, the anterior tooth inclination angle and the anterior tooth gap distance which influence the oral anterior tooth reverse jaw are analyzed, so that the diversity of the characteristic indexes of the oral anterior tooth reverse jaw is increased; and the scientificity of the oral cavity anterior tooth reverse jaw detection result is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of oral anterior teeth crossbite detection, and in particular to an oral anterior teeth crossbite detection method and system based on image recognition. Background Art

[0002] Oral crossbite refers to the occlusal state in which the lower front teeth extend beyond the upper front teeth, which is a common occlusal abnormality. Traditional clinical examination of oral crossbite mainly relies on clinical examination by dentists, including observation and palpation. The doctor determines whether there is a crossbite by observing the relative position of the upper and lower front teeth in the patient's mouth. Oral crossbite detection technology has made great progress, especially the emergence of digital imaging and artificial intelligence-assisted technology, which has greatly improved the accuracy and efficiency of crossbite detection. However, there are still some challenges in reality, such as standardization issues, popularity of technology, and lack of patient awareness. With the continuous development of technology, oral crossbite detection will be more accurate and convenient in the future, and will be able to provide early diagnosis and treatment recommendations for more patients. Therefore, it is necessary to study the method of oral anterior teeth crossbite detection based on image recognition.

[0003] The prior art, such as the invention patent application announced as: CN117437184A, discloses an oral anterior teeth crossbite detection method and system based on image recognition, and the system includes an image acquisition unit, a data input unit, an image recognition and analysis unit, an import and export unit, and a result display and interpretation unit; the image acquisition unit collects photos of the child's front teeth and inputs them into the image recognition and analysis unit through the data input unit; the image recognition and analysis unit performs the task of identifying and analyzing the child's front teeth and gives the discrimination result; the result display and interpretation unit displays and interprets the discrimination result. The detection system of the invention can be used as an APP in a smart phone or other smart mobile terminal, so that the child's oral photos can be taken at home and uploaded to the APP to intelligently identify and detect whether there is anterior teeth crossbite, which overcomes the problem of inconvenience in regular oral examinations in the prior art, so as to facilitate regular monitoring and early detection of children's anterior teeth crossbite.

[0004] In combination with the above scheme, it is found that in the existing technology, most of the oral anterior teeth crossbite detection is conducted by only considering the occlusal relationship of the upper and lower anterior teeth, and determining the detection results of the oral anterior teeth crossbite. However, the anterior teeth protrusion distance, anterior teeth inclination angle and anterior teeth gap distance based on the detection image of the oral anterior teeth of the person being tested, and the influence of the mandibular length, mandibular width, mandibular shape and occlusal depth on the oral anterior teeth crossbite are ignored, resulting in inaccuracy in the determination of the detection results of the oral anterior teeth of the person being tested, making it difficult for the person being tested to discover the real risk of oral anterior teeth crossbite and difficult to meet the actual oral anterior teeth crossbite detection needs. Summary of the invention

[0005] The purpose of the present invention is to provide an oral anterior teeth crossbite detection method and system based on image recognition, which solves the problems existing in the background technology.

[0006] In order to solve the above technical problems, the first aspect of the present invention provides an oral anterior teeth crossbite detection method based on image recognition, the method comprising: step 1, obtaining an oral anterior teeth detection image: including a frontal image and a bilateral image of the oral anterior teeth of the person being detected taken and uploaded by a user; Step 2, extracting various characteristic indicators of the oral anterior teeth detection image: Based on image recognition technology, the upper anterior teeth and lower anterior teeth of the oral anterior teeth of the detected person are numbered and labeled from the front image and bilateral images of the oral anterior teeth of the detected person, and various characteristic indicators of the oral anterior teeth detection image of the detected person are extracted; Step 3, analyzing each characteristic index of the oral anterior teeth detection image: evaluating each characteristic index of the oral anterior teeth detection image of the detected person, obtaining the conformity coefficient of each characteristic index of the oral anterior teeth of the detected person, and calculating the oral anterior teeth crossbite risk index of the detected person; Step 4: Output the oral anterior teeth crossbite detection result: Based on the oral anterior teeth crossbite risk index of the person being tested, determine the oral crossbite risk level of the person being tested, and output the oral anterior teeth crossbite detection result of the person being tested.

[0007] In order to solve the above technical problems, the present invention provides, in a first aspect, an oral anterior teeth crossbite detection system based on image recognition, the system comprising: a detection image acquisition module, for acquiring a frontal image and a bilateral image of the oral anterior teeth of a person to be detected, taken and uploaded by a user; The feature index extraction module is used to extract various feature indexes of the detected person's oral anterior teeth detection image from the front image and bilateral images of the detected person's oral anterior teeth, including various feature parameters of tooth arrangement, various feature parameters of mandibular bones and occlusal depth; The crossbite risk index analysis module is used to evaluate various characteristic indicators of the oral anterior teeth detection image of the detected person and calculate the crossbite risk index of the oral anterior teeth of the detected person; The crossbite risk level judgment module judges the crossbite risk level of the person being tested based on the crossbite risk index of the person's anterior teeth; The database is used to store standard intervals of anterior tooth protrusion distance, anterior tooth inclination angle and anterior tooth gap distance, store standard mandibular length intervals, standard mandibular width intervals and standard mandibular shape, store standard intervals of occlusal depth, store the first oral crossbite risk interval, the second oral crossbite risk interval and the third oral crossbite risk interval.

[0008] Compared with the prior art, the benefits of the present invention are as follows: First, the present invention uses image recognition technology to obtain a frontal image of the oral front teeth of the person being tested, and numbers and labels the upper and lower front teeth of the person being tested, thereby establishing a precise analysis unit for the specific analysis of subsequent characteristic indicators, thereby ensuring the accuracy of oral front teeth crossbite detection.

[0009] Second, the present invention analyzes the upper and lower front teeth of the person being tested, and analyzes multiple characteristic indicators such as the front teeth protrusion distance, the front teeth inclination angle, the front teeth gap distance, etc. that affect the oral anterior teeth crossbite, thereby increasing the diversity of the characteristic indicators of the oral anterior teeth crossbite and ensuring the scientific nature of the oral anterior teeth crossbite detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] 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.

[0011] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0012] Figure 2 It is a system structure connection diagram of the present invention. DETAILED DESCRIPTION

[0013] 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.

[0014] Embodiment 1: Reference Figure 1 As shown, the first aspect provides an oral anterior teeth crossbite detection method based on image recognition, the method comprising: step one, obtaining an oral anterior teeth detection image: including a frontal image and bilateral images of the oral anterior teeth of the person being detected, taken and uploaded by a user.

[0015] In a specific embodiment of the present invention, the method for detecting oral anterior teeth crossbite based on image recognition, the frontal image and bilateral images of the oral anterior teeth of the person being detected are specifically: the frontal image of the oral anterior teeth of the person being detected, including facing the patient's face, ensuring facial symmetry and symmetrical balance on both sides, the image should clearly show the contours of the upper and lower lips, nose and chin, and show all teeth, including the upper and lower anterior teeth.

[0016] The bilateral side images of the front teeth of the oral cavity of the person being tested, including the side view, should be taken from the left and right sides of the patient respectively. The image should show the side profile of the patient, including the nose, lips, chin and ears. The tooth display range: show the side arrangement of the upper and lower teeth, including the front teeth and the back teeth. The upper and lower teeth should be in the occlusal state and gently bite.

[0017] It should be noted that, in a specific embodiment, the frontal image and bilateral images of the front teeth of the person being tested obtained need to undergo image preprocessing before feature extraction, and the specific method is as follows: S1: Use image recognition technology to determine whether there are high-gloss reflections or dark areas in the obtained detection image of the front teeth of the person being tested. If so, prompt the user to re-shoot and upload the detection image of the front teeth of the person being tested.

[0018] S2: By using image recognition technology, the facial expression and lip status of the person being tested are extracted from the test image of the person's front teeth, and it is determined whether there is tension or smile, and whether the lips are open or over-contracted. If the above situation exists, the user is prompted to re-shoot and upload the test image of the person's front teeth.

[0019] S3: Determine whether the background of the acquired detection image of the front teeth of the person being detected is monochrome. If not, change the detection image of the front teeth of the person being detected to a unit background, such as dark blue or black, through image processing technology, so that the teeth and facial contours are more prominent.

[0020] Step 2. Extract various characteristic indicators of the oral anterior teeth detection image: Based on image recognition technology, the upper and lower anterior teeth of the oral anterior teeth of the person being tested are numbered and labeled from the front image and bilateral images of the oral anterior teeth of the person being tested, and various characteristic indicators of the oral anterior teeth detection image of the person being tested are extracted.

[0021] In a specific embodiment of the present invention, the upper front teeth and lower front teeth of the oral front teeth of the detected person are numbered and marked, and the specific analysis method is: based on the front image of the oral front teeth of the detected person, the upper front teeth of the oral front teeth of the detected person are numbered in order from left to right by using image recognition technology, and the numbers are recorded as ,in Indicates the total number of upper front teeth in the oral cavity of the person being tested.

[0022] Based on the front image of the front teeth of the person being tested, the marking number of each tooth of the lower front teeth of the person being tested is obtained by processing according to the marking number method of the upper front teeth of the front teeth of the person being tested. ,in Indicates the total number of lower front teeth in the oral cavity of the person being tested.

[0023] It should be noted that, in a specific embodiment, there is inconsistency in the number of upper front teeth and lower front teeth in the oral cavity of the detected person. In order to facilitate subsequent specific analysis, they are marked and numbered separately.

[0024] The present invention uses image recognition technology to obtain a frontal image of the oral front teeth of the person being tested, and numbers and labels the upper front teeth and lower front teeth of the person being tested, establishes a precise analysis unit for the specific analysis of subsequent characteristic indicators, and ensures the accuracy of oral front teeth crossbite detection.

[0025] In a specific embodiment of the present invention, the method for extracting the characteristic indicators of the oral anterior teeth detection image is as follows: the characteristic indicators of the oral anterior teeth detection image include: characteristic parameters of tooth arrangement, characteristic parameters of mandibular bone and occlusal depth.

[0026] The characteristic parameters of tooth arrangement include front teeth protrusion distance, front teeth inclination angle and front teeth gap distance.

[0027] The characteristic parameters of the mandible include the mandible length, mandible width and mandible shape extracted by image recognition technology.

[0028] Through image recognition technology, each upper front tooth of the person being tested is used as a detection mark to obtain the vertical distance between the contact point of each upper front tooth of the person being tested and the lower front teeth to obtain the bite depth of the person being tested, and the horizontal distance between the overlapping point of each upper front tooth of the person being tested and the lower front teeth to obtain the protruding distance of the front teeth of the person being tested.

[0029] It should be noted that, in a specific embodiment, the specific method for obtaining the vertical distance between each tooth of the upper front teeth of the detected person's oral front teeth and the contact point of the lower front teeth is as follows: M1: Based on the front image of the detected person's oral front teeth, the center of the image is taken as the center of the coordinate circle, and the width of one pixel of the image is taken as the unit length , establish a two-dimensional rectangular coordinate system.

[0030] M2: Get the first position of the upper front teeth of the person being tested. The coordinate points of the upper and lower front teeth when the vertical gap between the two teeth is the largest when the tooth contacts the lower front teeth of the test person's oral cavity , .

[0031] M3: By formula: , calculate the first The bite depth of the teeth .

[0032] It should be noted that, in a specific embodiment, the specific method for calculating the protruding distance of the front teeth of the detected person is as follows: G1: Obtain the first When the tooth overlaps with the lower front teeth of the person being tested, obtain the center point coordinates of the upper front teeth and the center coordinates of the lower anterior teeth .

[0033] G2: By using the distance formula between two points: , calculate the first The straight-line distance between the center point of the first tooth and the center of the lower front teeth .

[0034] G3: By formula: , calculate the first The vertical distance between the center point of the upper tooth and the center point of the lower front tooth .

[0035] G4: By formula: , calculate the protruding distance of the front teeth of the person being tested .

[0036] It should be noted that, in a specific embodiment, the first upper front teeth of the front teeth of the oral cavity of the detected person are The straight-line distance between the center point of the first tooth and the center point of the lower front tooth , the upper front teeth of the person being tested The vertical distance between the center point of the tooth and the center of the lower front teeth The calculation method is to calculate by a distance formula between coordinates, where the unit distance between the coordinate points is the width of a pixel of the front image of the front teeth of the oral cavity of the person being tested.

[0037] The upper front teeth of the person being tested are The center point of the first tooth, the center point of the lower front teeth, the intersection of the horizontal extension line of the center point of the lower front teeth and the vertical extension line of the center point of the upper front teeth are used to construct a right triangle. The Pythagorean theorem formula is used to calculate the first point of the upper front teeth of the person being tested. The horizontal distance between the center point of the upper tooth and the center point of the lower front tooth is multiplied by the width of each pixel to obtain the protruding distance of the front teeth of the person being tested. .

[0038] Taking the mandible of the person being tested as a reference, the inclination angle of each upper front tooth and the inclination angle of each lower front tooth of the person being tested are extracted to obtain the inclination angle of the front teeth of the person being tested.

[0039] By image recognition, the gap distance between the adjacent upper front teeth and the gap distance between the adjacent lower front teeth of the oral front teeth of the detected person are extracted to obtain the front teeth gap distance of the detected person.

[0040] It should be noted that, in a specific embodiment, the specific analysis method of the front teeth gap distance of the detected person is: B1: obtain the first When the gap between the tooth and the right adjacent tooth is the largest, the edge coordinates of the two teeth are , .

[0041] B2: By formula: , calculate the first The distance between the tooth and the right adjacent tooth .

[0042] B3: According to the upper front teeth of the person being tested The method for analyzing the distance between the first tooth and the right adjacent tooth is used to analyze the distance between the first tooth and the right adjacent tooth. The tooth and the right adjacent tooth are processed to obtain the first tooth of the lower front tooth of the person being tested. The distance between the tooth and the right adjacent tooth , get the distance between the front teeth of the person being tested .

[0043] It should be noted that, in a specific embodiment, the first upper front teeth of the front teeth of the oral cavity of the detected person are The calculation method of the distance between the anterior teeth of the first tooth and the right adjacent tooth is to calculate the distance between the first tooth and the right adjacent tooth by calculating the distance between the first tooth and the right adjacent tooth. The horizontal distance between the edge coordinates of the two teeth when the gap between the first tooth and the right adjacent tooth is the largest is multiplied by each unit length, that is, the width of each pixel, to obtain the gap distance between the front teeth of the person being tested.

[0044] Step 3, analyzing the characteristic indicators of the oral anterior teeth detection image: Evaluate the characteristic indicators of the oral anterior teeth detection image of the person being tested, obtain the conformity coefficient of the characteristic indicators of the oral anterior teeth of the person being tested, and calculate the oral anterior teeth crossbite risk index of the person being tested.

[0045] In a specific embodiment of the present invention, the risk index of anterior teeth crossbite in the oral cavity of the detected person is calculated by a specific analysis method as follows: based on the matching coefficient of the tooth arrangement of the detected person , the compliance coefficient of the mandible of the person being tested The coefficient of conformity with the bite depth of the person being tested , through the formula: , calculate the risk index of anterior teeth crossbite in the oral cavity of the tested person ,in is a natural constant.

[0046] It should be noted that, in a specific embodiment, the calculation method of the risk index of the anterior teeth crossbite of the detected person's oral cavity comprehensively considers the conformity coefficient of the tooth arrangement of the detected person. , the compliance coefficient of the mandible of the person being tested , the compliance coefficient of the bite depth of the person being tested The result is calculated by analyzing the negative correlation between the risk index of anterior teeth crossbite in the oral cavity of the person being tested.

[0047] It should be noted that, in a specific embodiment, the calculation method of the oral anterior teeth crossbite risk index of the person being tested comprehensively considers the various characteristic parameters of the tooth arrangement of the person being tested, the various characteristic parameters of the mandible of the person being tested and the bite depth of the person being tested, and provides data support for the oral crossbite risk of the person being tested through the analysis of diversified parameters, which can scientifically and accurately reflect the results of the oral crossbite detection of the person being tested.

[0048] The present invention analyzes the upper and lower front teeth of the oral anterior teeth of the person being tested, and analyzes multiple characteristic indicators such as the front tooth protrusion distance, the front tooth inclination angle, the front tooth gap distance, etc. that affect the oral anterior tooth crossbite, thereby increasing the diversity of the characteristic indicators of the oral anterior tooth crossbite and ensuring the scientific nature of the oral anterior tooth crossbite detection results.

[0049] In a specific embodiment of the present invention, the conformity coefficient of the tooth arrangement of the detected person is specifically analyzed as follows: based on the protruding distance of the front teeth of the detected person, the inclination angle of the front teeth and the distance between the front teeth, the protruding distance of the front teeth of the detected person is recorded as , through the formula: , calculate the compliance judgment value of the front teeth protrusion distance of the person being tested ,in Represents the standard interval of anterior tooth protrusion distance extracted from the database.

[0050] It should be noted that, in a specific embodiment, the standard range of the front teeth protrusion distance is obtained by technicians based on the hospital's dental department visit information and relevant literature information, and the front teeth protrusion distance of normal people is obtained by analysis and stored in the database.

[0051] It should be noted that, in a specific embodiment, the method for calculating the compliance judgment value of the front teeth protrusion distance of the person being tested is by judging whether the front teeth protrusion distance of the person being tested is within the standard range of the front teeth protrusion distance. If so, the compliance judgment value of the front teeth protrusion distance of the person being tested is set to 1; if not, the compliance judgment value of the front teeth protrusion distance of the person being tested is set to 0.

[0052] According to the calculation method of the compliance judgment value of the front teeth protrusion distance of the tested person, the front teeth inclination angle and the front teeth gap distance of the tested person are analyzed to obtain the compliance judgment value of the front teeth inclination angle of the tested person. , the compliance judgment value of the distance between the front teeth of the person being tested ,in , Indicates the number of each tooth of the front teeth of the person being tested, The total number of front teeth of the person being tested, , , Indicates the number of each gap between the front teeth of the person being tested, The total number of spaces between the front teeth of the person being tested.

[0053] It should be noted that, in a specific embodiment, the calculation method for obtaining the compliance judgment value of the inclination angle of the front teeth of the detected person is: through the formula: , calculate the compliance judgment value of the inclination angle of the front teeth of the person being tested ,in represents the standard interval of the anterior tooth inclination angle extracted from the database, Indicates the inclination angle of the front teeth of the person being tested.

[0054] It should be noted that, in a specific embodiment, the standard range of the inclination angle of the front teeth is obtained by technicians based on the hospital's dental department visit information and relevant literature information, and the inclination angle of the front teeth of normal people is analyzed and stored in a database.

[0055] It should be noted that, in a specific embodiment, the method for calculating the compliance judgment value of the inclination angle of the front teeth of the person being tested is by judging whether the inclination angle of the front teeth of the person being tested is within the standard range of the inclination angle of the front teeth. If so, the compliance judgment value of the inclination angle of the front teeth of the person being tested is set to 1; if not, the compliance judgment value of the inclination angle of the front teeth of the person being tested is set to 0.

[0056] It should be noted that, in a specific embodiment, the calculation method of the compliance judgment value of the front teeth gap distance of the detected person is: through the formula: , calculate the compliance judgment value of the distance between the front teeth of the person being tested ,in represents the standard interval of the anterior tooth gap distance extracted from the database, Indicates the distance between the front teeth of the person being tested.

[0057] It should be noted that, in a specific embodiment, the standard interval of the anterior tooth gap distance is obtained by technicians based on the hospital's dental department visit information and relevant literature information, and the anterior tooth gap distance of normal people is analyzed and stored in a database.

[0058] It should be noted that, in a specific embodiment, the method for calculating the compliance judgment value of the front teeth gap distance of the person being tested is by judging whether the front teeth gap distance of the person being tested is within the standard interval of the front teeth gap distance. If so, the compliance judgment value of the front teeth gap distance of the person being tested is set to 1; if not, the compliance judgment value of the front teeth gap distance of the person being tested is set to 0.

[0059] By formula: , calculate the conformity coefficient of the tooth arrangement of the person being tested .

[0060] It should be noted that, in a specific embodiment, the calculation method of the compliance coefficient of the tooth arrangement of the person being tested takes into account the positive correlation between the compliance judgment value of the protruding distance of the person's front teeth, the compliance judgment value of the inclination angle of the person's front teeth, the compliance judgment value of the gap distance between the person's front teeth and the compliance coefficient of the person's tooth arrangement, and the compliance coefficient of the person's tooth arrangement is obtained by analyzing the compliance judgment value of the protruding distance of each upper front tooth of the person's front teeth, the compliance judgment value of the inclination angle of each upper front tooth and lower front tooth of the person's front teeth, and the compliance judgment value of the side gap distance between each upper front tooth and lower front tooth of the person's front teeth and the right adjacent tooth.

[0061] It should be noted that, in a specific embodiment, in the calculation formula of the conformity coefficient of the tooth arrangement of the detected person, the conformity judgment value of the protruding distance of the front teeth of the detected person is , the compliance judgment value of the inclination angle of the front teeth of the person being tested , the compliance judgment value of the distance between the front teeth of the person being tested Its value is 0 or 1.

[0062] It should be noted that, in a specific embodiment, the calculation method of the conformity coefficient of the tooth arrangement of the person being tested can reflect the conformity of the front teeth protrusion distance, front teeth inclination angle and front teeth gap distance of the person being tested with the standard conditions of normal people, and provide parameter support for subsequent oral crossbite detection of the person being tested.

[0063] In a specific embodiment of the present invention, the conformity coefficient of the mandible of the detected person is specifically analyzed by: based on the mandible length of the detected person, it is determined whether the mandible length of the detected person is within the standard mandible length interval extracted from the database. If so, the conformity judgment value of the mandible length of the detected person is Set to 1. If not, the length of the mandible of the person being tested will be judged as being in compliance with the judgment value. Set to 0.

[0064] By using the calculation method of the compliance judgment value of the mandibular length of the tested person, the mandibular width of the tested person is analyzed to obtain the compliance judgment value of the mandibular width of the tested person. .

[0065] Based on the mandibular shape of the person being tested, the image analysis technology is used to compare the shape of the mandibular shape with the standard mandibular shape extracted from the database to obtain the conformity value of the mandibular shape of the person being tested. .

[0066] It should be noted that, in a specific embodiment, the conformity value of the mandibular shape of the detected person is obtained by comparing the conformity value with the standard mandibular shape extracted from the database to obtain the percentage of the conformity comparison, for example, the conformity value of the mandibular shape of the detected person .

[0067] By formula: , calculate the compliance coefficient of the mandible of the person being tested .

[0068] It should be noted that, in a specific embodiment, the method for calculating the compliance coefficient of the mandible of the person being tested takes into account the positive correlation between the compliance judgment value of the mandible length of the person being tested, the compliance judgment value of the mandible width of the person being tested, the compliance degree value of the mandible shape of the person being tested and the compliance coefficient of the mandible of the person being tested, and is calculated by using the mandible length of the person being tested, the mandible width of the person being tested and the compliance degree value of the mandible shape of the person being tested.

[0069] It should be noted that, in a specific embodiment, the compliance judgment value of the mandibular width of the detected person is , the compliance judgment value of the mandibular length of the person being tested The value range of is 0 or 1, and the value range of the mandibular shape compliance value of the detected person is 0-1.

[0070] It should be noted that, in a specific embodiment, the method for calculating the compliance coefficient of the mandible of the person being tested can reflect the degree of compliance of the mandible length, mandible width and mandible shape of the person being tested with the parameter ranges of the standard mandible of normal people, thereby providing a parameter basis for subsequent oral crossbite detection of the person being tested.

[0071] In a specific embodiment of the present invention, the specific analysis method of the compliance coefficient of the bite depth of the detected person is: the calculation method of the compliance judgment value of the front teeth protrusion distance of the detected person is used to calculate the compliance judgment value of the bite depth of the detected person. Analyze and obtain the judgment value of the bite depth of the person being tested , through the formula: , calculate the compliance coefficient of the bite depth of the person being tested .

[0072] It should be noted that, in a specific embodiment, the specific calculation method of the compliance judgment value of the bite depth of the detected person is: through the formula: , calculate the compliance judgment value of the bite depth of the person being tested ,in Represents the standard interval of bite depth extracted from the database.

[0073] It should be noted that, in a specific embodiment, the standard range of bite depth is obtained by technicians based on the hospital's dental department visit information and relevant literature information, and the bite depth range of normal people is obtained by analysis and stored in a database.

[0074] It should be noted that, in a specific embodiment, the method for calculating the compliance judgment value of the bite depth of the person being tested is by judging whether the bite depth of the person being tested is within the standard range of the bite depth. If so, the compliance judgment value of the bite depth of the person being tested is set to 1; if not, the compliance judgment value of the bite depth of the person being tested is set to 0.

[0075] It should be noted that, in a specific embodiment, the calculation method of the compliance coefficient of the bite depth of the person being tested is: considering the positive correlation between the compliance judgment value of the bite depth of the person being tested and the compliance coefficient of the bite depth of the person being tested, the compliance judgment value of the bite depth of the person being tested is used to calculate the compliance coefficient.

[0076] It should be noted that, in a specific embodiment, the calculation method of the compliance coefficient of the bite depth of the person being tested can reflect the compliance of the bite depth of the person being tested with the standard bite depth range of normal people, and provide a parameter basis for subsequent oral crossbite detection of the person being tested.

[0077] Step 4: Output the oral anterior teeth crossbite detection result: Based on the oral anterior teeth crossbite risk index of the person being tested, determine the oral crossbite risk level of the person being tested, and output the oral anterior teeth crossbite detection result of the person being tested.

[0078] In a specific embodiment of the present invention, the specific analysis method for determining the oral crossbite risk level of the detected person is as follows: based on the oral crossbite risk index of the detected person ,like If the person being tested is in the first oral crossbite risk interval extracted from the database, the oral crossbite risk level of the person being tested is determined to be high risk.

[0079] like If the person being tested is in the second oral crossbite risk interval extracted from the database, the oral crossbite risk level of the person being tested is determined to be medium risk.

[0080] like If the person being tested is in the third oral crossbite risk interval extracted from the database, the oral crossbite risk level of the person being tested is determined to be low risk.

[0081] It should be noted that, in a specific embodiment, the first oral crossbite risk interval, the second oral crossbite risk interval and the third oral crossbite risk interval are obtained by artificial division by technicians based on the oral crossbite risk index of each person under test in history and the actual subsequent oral crossbite risk, and are stored in the database. For example, the first oral crossbite risk interval , the first risk interval of oral crossbite , the first risk interval of oral crossbite , need to meet , .

[0082] Embodiment 2: Reference Figure 2 As shown, the second aspect of the present invention provides an oral anterior teeth crossbite detection system based on image recognition, the system comprising: a detection image acquisition module, used to obtain the frontal image and bilateral images of the oral anterior teeth of the person being detected, which are taken and uploaded by the user.

[0083] The feature index extraction module is used to extract various feature indexes of the oral anterior teeth detection image of the person being detected from the front image and bilateral images of the oral anterior teeth of the person being detected, including various feature parameters of tooth arrangement, various feature parameters of the mandibular bone and occlusal depth.

[0084] The crossbite risk index analysis module is used to evaluate the characteristic indicators of the oral anterior teeth detection image of the detected person and calculate the crossbite risk index of the oral anterior teeth of the detected person.

[0085] The crossbite risk level judgment module judges the crossbite risk level of the person being tested based on the crossbite risk index of the person's oral anterior teeth.

[0086] The database is used to store standard intervals of anterior tooth protrusion distance, anterior tooth inclination angle and anterior tooth gap distance, store standard mandibular length intervals, standard mandibular width intervals and standard mandibular shape, store standard intervals of occlusal depth, store the first oral crossbite risk interval, the second oral crossbite risk interval and the third oral crossbite risk interval.

[0087] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An oral anterior teeth crossbite detection method based on image recognition, characterized in that: The method comprises: Step 1: Obtaining oral anterior teeth detection images: including frontal images and bilateral images of the oral anterior teeth of the person being detected, taken and uploaded by the user; Step 2, extracting various characteristic indicators of the oral anterior teeth detection image: Based on image recognition technology, the upper anterior teeth and lower anterior teeth of the oral anterior teeth of the detected person are numbered and labeled from the front image and bilateral images of the oral anterior teeth of the detected person, and various characteristic indicators of the oral anterior teeth detection image of the detected person are extracted; Step 3, analyzing each characteristic index of the oral anterior teeth detection image: evaluating each characteristic index of the oral anterior teeth detection image of the detected person, obtaining the conformity coefficient of each characteristic index of the oral anterior teeth of the detected person, and calculating the oral anterior teeth crossbite risk index of the detected person; Step 4: Output the oral anterior teeth crossbite detection result: Based on the oral anterior teeth crossbite risk index of the person being tested, determine the oral crossbite risk level of the person being tested, and output the oral anterior teeth crossbite detection result of the person being tested.

2. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 1, characterized in that: The frontal image and bilateral images of the front teeth of the oral cavity of the detected person are specifically: A frontal image of the front teeth of the oral cavity of the person to be tested, including the patient's face, ensuring facial symmetry and symmetry and balance between the left and right sides. The image should clearly show the contours of the upper and lower lips, nose and chin, and show all teeth, including the upper and lower front teeth and part of the back teeth; The bilateral side images of the front teeth of the oral cavity of the person being tested, including the side view, should be taken from the left and right sides of the patient respectively. The image should show the side profile of the patient, including the nose, lips, chin and ears. The tooth display range: show the side arrangement of the upper and lower teeth, including the front teeth and the back teeth. The upper and lower teeth should be in the occlusal state and gently bite.

3. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 2, characterized in that: The upper front teeth and lower front teeth of the oral front teeth of the person being tested are numbered and marked, and the specific analysis method is as follows: Based on the frontal image of the front teeth of the person being tested, the upper front teeth of the person being tested are numbered from left to right using image recognition technology. The numbers are recorded as ,in Indicates the total number of upper front teeth in the oral cavity of the person being tested; Based on the front image of the front teeth of the person being tested, the marking number of each tooth of the lower front teeth of the person being tested is obtained by processing according to the marking number method of the upper front teeth of the front teeth of the person being tested. ,in Indicates the total number of lower front teeth in the oral cavity of the person being tested.

4. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 3, characterized in that: The specific method for extracting the characteristic indicators of the oral anterior teeth detection image is as follows: The characteristic indicators of the oral anterior teeth detection image include: characteristic parameters of tooth arrangement, characteristic parameters of mandibular bones and occlusal depth; The characteristic parameters of the tooth arrangement include the protruding distance of the front teeth, the inclination angle of the front teeth and the gap distance between the front teeth; The characteristic parameters of the mandible include mandible length, mandible width and mandible shape extracted by image recognition technology; By using image recognition technology, taking each upper front tooth of the detected person's oral front teeth as a detection mark, the vertical distance between each upper front tooth of the detected person's oral front teeth and the contact point with the lower front teeth is obtained to obtain the occlusal depth of the detected person, and the horizontal distance between each upper front tooth of the detected person's oral front teeth and the overlapping point with the lower front teeth is obtained to obtain the front teeth protrusion distance of the detected person; Taking the mandibular bone of the person to be tested as a reference, extracting the inclination angle of each upper front tooth and the inclination angle of each lower front tooth of the front teeth of the oral cavity of the person to be tested, and obtaining the inclination angle of the front teeth of the person to be tested; Through image recognition, the gap distance between the adjacent upper front teeth and the gap distance between the adjacent lower front teeth of the oral front teeth of the detected person are extracted to obtain the front teeth gap distance of the detected person.

5. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 4, characterized in that: The specific analysis method for calculating the risk index of anterior teeth crossbite in the oral cavity of the detected person is as follows: The compliance coefficient based on the tooth arrangement of the person being tested , the compliance coefficient of the mandible of the person being tested The coefficient of conformity with the bite depth of the person being tested , through the formula: , calculate the risk index of anterior teeth crossbite in the oral cavity of the tested person ,in is a natural constant.

6. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 5, characterized in that: The specific analysis method of the conformity coefficient of the tooth arrangement of the detected person is as follows: Based on the front teeth protrusion distance, front teeth inclination angle and front teeth gap distance of the tested person, the front teeth protrusion distance of the tested person is recorded as , through the formula: , calculate the compliance judgment value of the front teeth protrusion distance of the person being tested ,in represents the standard interval of anterior tooth protrusion distance extracted from the database; According to the calculation method of the compliance judgment value of the front teeth protrusion distance of the tested person, the front teeth inclination angle and the front teeth gap distance of the tested person are analyzed to obtain the compliance judgment value of the front teeth inclination angle of the tested person. , the compliance judgment value of the distance between the front teeth of the person being tested ,in , Indicates the number of each tooth of the front teeth of the person being tested, The total number of front teeth of the person being tested, , , Indicates the number of each gap between the front teeth of the person being tested, The total number of spaces between the front teeth of the person being tested; By formula: , calculate the conformity coefficient of the tooth arrangement of the person being tested .

7. The method for detecting anterior crossbite of an oral cavity based on image recognition according to claim 5, characterized in that: The specific analysis method of the compliance coefficient of the mandibular bone of the detected person is as follows: Based on the mandibular length of the person being tested, it is determined whether the mandibular length of the person being tested is within the standard mandibular length interval extracted from the database. If so, the mandibular length of the person being tested is considered to be in compliance with the judgment value. Set to 1. If not, the length of the mandible of the person being tested will be judged as being in compliance with the judgment value. Set to 0; By using the calculation method of the compliance judgment value of the mandibular length of the tested person, the mandibular width of the tested person is analyzed to obtain the compliance judgment value of the mandibular width of the tested person. ; Based on the mandibular shape of the person being tested, the image analysis technology is used to compare the shape of the mandibular shape with the standard mandibular shape extracted from the database to obtain the conformity value of the mandibular shape of the person being tested. ; By formula: , calculate the compliance coefficient of the mandible of the person being tested .

8. The method for detecting anterior crossbite in an oral cavity based on image recognition according to claim 5, characterized in that: The specific analysis method of the compliance coefficient of the bite depth of the detected person is as follows: The calculation method of the compliance judgment value of the front teeth protrusion distance of the tested person is used to calculate the bite depth of the tested person. Analyze and obtain the judgment value of the bite depth of the person being tested , through the formula: , calculate the compliance coefficient of the bite depth of the person being tested .

9. The method for detecting anterior crossbite in an oral cavity based on image recognition according to claim 5, characterized in that: The specific analysis method for determining the risk level of oral crossbite of the person being tested is as follows: Based on the oral crossbite risk index of the tested person ,like If the person is in the first oral crossbite risk interval extracted from the database, the oral crossbite risk level of the person being tested is determined to be high risk; like If the patient is in the second oral crossbite risk interval extracted from the database, the oral crossbite risk level of the patient is determined to be medium risk; like If the person being tested is in the third oral crossbite risk interval extracted from the database, the oral crossbite risk level of the person being tested is determined to be low risk.

10. An oral anterior teeth crossbite detection system based on image recognition, applied to an oral anterior teeth crossbite detection method based on image recognition according to any one of claims 1 to 9, characterized in that: The system comprises: The detection image acquisition module is used to obtain the frontal image and bilateral images of the front teeth of the oral cavity of the detected person uploaded by the user; The feature index extraction module is used to extract various feature indexes of the detected person's oral anterior teeth detection image from the front image and bilateral images of the detected person's oral anterior teeth, including various feature parameters of tooth arrangement, various feature parameters of mandibular bones and occlusal depth; The crossbite risk index analysis module is used to evaluate various characteristic indicators of the oral anterior teeth detection image of the detected person and calculate the crossbite risk index of the oral anterior teeth of the detected person; The crossbite risk level judgment module judges the crossbite risk level of the person being tested based on the crossbite risk index of the person's anterior teeth; The database is used to store standard intervals of anterior tooth protrusion distance, anterior tooth inclination angle and anterior tooth gap distance, store standard mandibular length intervals, standard mandibular width intervals and standard mandibular shape, store standard intervals of occlusal depth, store the first oral crossbite risk interval, the second oral crossbite risk interval and the third oral crossbite risk interval.

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