WO2020043178A1 - Dispositif et procédé pour reconnaître une marque de dent sur une langue à l'aide d'un contour de langue - Google Patents

Dispositif et procédé pour reconnaître une marque de dent sur une langue à l'aide d'un contour de langue Download PDF

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WO2020043178A1
WO2020043178A1 PCT/CN2019/103416 CN2019103416W WO2020043178A1 WO 2020043178 A1 WO2020043178 A1 WO 2020043178A1 CN 2019103416 W CN2019103416 W CN 2019103416W WO 2020043178 A1 WO2020043178 A1 WO 2020043178A1
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Prior art keywords
tongue
contour
tooth
tooth mark
points
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PCT/CN2019/103416
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English (en)
Chinese (zh)
Inventor
张贯京
葛新科
吕超
王海荣
高伟明
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深圳市前海安测信息技术有限公司
深圳市易特科信息技术有限公司
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Publication of WO2020043178A1 publication Critical patent/WO2020043178A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes

Definitions

  • the invention relates to the technical field of traditional Chinese medicine tongue image processing, in particular to a tongue tooth mark recognition device and method based on the tongue contour line.
  • Tooth-marked tongue refers to the traces of the teeth seen at the edge of the tongue. It is also called tooth-printed tongue. It is caused by the weight of the tongue and is compressed by the edge of the tooth. It is a kind of abnormal tongue. Guiding significance. Toothed tongue is easy to identify in tongue diagnosis, and is less affected by external factors (such as food, medicine, etc.). Traditional Chinese medical theory believes that most of the teeth marks are caused by qi deficiency, spleen deficiency or yang deficiency. Because the spleen deficiency cannot transport water and wet, causing the tongue to become fat, the spleen tongue is mainly spleen and wet. If it is pale and moist, it is cold and damp, and it is red and tooth marks, mostly spleen or qi deficiency.
  • Tongue tooth marks are extracted in the prior art based on the color characteristics around the tongue body and the slope of the tongue boundary line to determine the tongue tooth marks.
  • the color characteristics around the tongue are greatly affected by the changes in the tongue color, leading to many cases of misjudgment; in many cases, the boundary curve of the tongue is not smooth enough, and the burr phenomenon is serious, which leads to a higher error rate of tongue tooth marks high. Therefore, it is necessary to provide an effective tongue tooth mark recognition device and method to improve the accuracy of tongue tooth mark recognition.
  • the main object of the present invention is to provide a tongue tooth mark recognition device and method based on the tongue contour line, which aims to solve the technology of high tongue tooth mark discrimination error rate due to tongue peripheral color and tongue boundary curve burr. problem.
  • the present invention provides a tongue tooth mark recognition device based on a tongue contour line, comprising a processor adapted to implement various computer program instructions and a memory adapted to store a plurality of computer program instructions, the computer Program instructions are loaded by the processor and perform the following steps:
  • Input a tongue image through an input unit, and perform grayscale conversion on the tongue image to generate a grayscale image;
  • the tongue body marks are marked as tongue tooth marks, and a tongue body image marked with the tooth mark positions is finally generated.
  • the step of performing image contour tracking processing on the binary image to generate a contour line of the tongue includes:
  • Step 1 Scan the binary image in order from top to bottom and left to right, and find the first boundary starting point A 0 as the current boundary point, where A 0 is the boundary point with the smallest row and the boundary point column;
  • Step 3 Search the 3 * 3 neighborhood of the current pixel in the counterclockwise direction.
  • the initial search direction is set as follows: Take (dir + 3) mod 4 for the four connected areas of the binary image, where mod is the modulo operation.
  • the first pixel point in the 3 * 3 neighborhood that is the same as the current pixel is used as the new boundary point A n , and the variable dir is updated as the new scanning direction value;
  • Step 4 If the new boundary point A n is equal to the second boundary point A 1 and the previous boundary point A n-1 is equal to the first boundary point A 0 , then stop searching and end the tracking of the boundary points, otherwise repeat step 3 Continue to search for the next boundary point;
  • step 5 the boundary formed by the tracked boundary points A 0 , A 1 , A 2 ,..., A n-2 is the contour line of the tongue.
  • the step of calculating the center of mass of the tongue according to the contour of the tongue includes the following steps: using a zero-order moment to calculate the area of the binary image, the zero-order moment is expressed as ,among them Represents the gray value of the pixel at the (i, j) point of the binary image, and M 00 is the sum of the gray values of the white area in the binary image;
  • the first-order moment and the area M 00 of the binary image are used to calculate the centroid of the binary image as the center of mass of the tongue.
  • the first-order moment is expressed as: , , Where M 10 is the cumulative sum of the x-coordinate values of all white areas on the binary image, and M 01 is the cumulative sum of the y-coordinate values of all white areas on the binary image;
  • the step of calculating the tongue contour convex hull as the approximate tongue tooth mark contour based on the tongue contour line includes the following steps: pairing n points in the point set in the tongue contour line pairwise to form n ( n-1) / 2 straight lines; for each straight line determined by any two points, traverse whether the remaining (n-2) points of the two points are on the same side of the straight line, if it exists on the straight line Point on the side, the point is added to the convex hull set until all straight lines have been traversed, and the convex hull set is used as an approximate tongue tooth contour line.
  • the step of calculating the tongue contour convex hull as the approximate tongue tooth mark contour line according to the tongue body contour line includes the following steps: assuming that there are m points on the approximate tongue tooth mark contour line, each adjacent two points Connected to form m straight lines, the two endpoints of each straight line L in the m edges have p points on the tongue contour line between the two corresponding ends of the tongue contour line. Calculate the p points to the straight line respectively The distance of L, where the maximum distance is recorded as D; if the maximum distance D is greater than a predefined threshold ⁇ , mark the area corresponding to the p points as having tooth marks, and save the point C corresponding to the maximum distance D as the tooth Mark position.
  • the present invention also provides a tongue tooth mark recognition method based on the tongue outline, which is applied to a tongue tooth mark recognition device.
  • the method includes the following steps:
  • Input a tongue image through an input unit, and perform grayscale conversion on the tongue image to generate a grayscale image;
  • the tongue body marks are marked as tongue tooth marks, and a tongue body image marked with the tooth mark positions is finally generated.
  • the step of performing image contour tracking processing on the binary image to generate a contour line of the tongue includes:
  • Step 1 Scan the binary image in order from top to bottom and left to right, and find the first boundary starting point A 0 as the current boundary point, where A 0 is the boundary point with the smallest row and the boundary point column;
  • Step 3 Search the 3 * 3 neighborhood of the current pixel in the counterclockwise direction.
  • the initial search direction is set as follows: Take (dir + 3) mod 4 for the four connected areas of the binary image, where mod is the modulo operation.
  • the first pixel point in the 3 * 3 neighborhood that is the same as the current pixel is used as the new boundary point A n , and the variable dir is updated as the new scanning direction value;
  • Step 4 If the new boundary point A n is equal to the second boundary point A 1 and the previous boundary point A n-1 is equal to the first boundary point A 0 , then stop searching and end the tracking of the boundary points, otherwise repeat step 3 Continue to search for the next boundary point;
  • step 5 the boundary formed by the tracked boundary points A 0 , A 1 , A 2 ,..., A n-2 is the contour line of the tongue.
  • the step of calculating the center of mass of the tongue according to the contour of the tongue includes the following steps: using a zero-order moment to calculate the area of the binary image, the zero-order moment is expressed as ,among them Represents the gray value of the pixel at the (i, j) point of the binary image, and M 00 is the sum of the gray values of the white area in the binary image;
  • the first-order moment and the area M 00 of the binary image are used to calculate the centroid of the binary image as the center of mass of the tongue.
  • the first-order moment is expressed as: , , Where M 10 is the cumulative sum of the x-coordinate values of all white areas on the binary image, and M 01 is the cumulative sum of the y-coordinate values of all white areas on the binary image;
  • the step of calculating the tongue contour convex hull as the approximate tongue tooth mark contour based on the tongue contour line includes the following steps: pairing n points in the point set in the tongue contour line pairwise to form n ( n-1) / 2 straight lines; for each straight line determined by any two points, traverse whether the remaining (n-2) points of the two points are on the same side of the straight line, if it exists on the straight line Point on the side, the point is added to the convex hull set until all straight lines have been traversed, and the convex hull set is used as an approximate tongue tooth contour line.
  • the step of calculating the tongue contour convex hull as the approximate tongue tooth mark contour line according to the tongue body contour line includes the following steps: assuming that there are m points on the approximate tongue tooth mark contour line, each adjacent two points Connected to form m straight lines, the two endpoints of each straight line L in the m edges have p points on the tongue contour line between the two corresponding ends of the tongue contour line. Calculate the p points to the straight line respectively The distance of L, where the maximum distance is recorded as D; if the maximum distance D is greater than a predefined threshold ⁇ , mark the area corresponding to the p points as having tooth marks, and save the point C corresponding to the maximum distance D as the tooth Mark position.
  • the tongue tooth mark recognition device and method based on the tongue outline of the present invention can determine tooth marks based on the unevenness of the tongue outline, because the tooth outline of the tongue is in the tooth mark Obvious depressions will be formed everywhere, so the number of tongue tooth marks can be judged according to the unevenness of the contour line.
  • the accuracy of identifying tongue tooth marks of the present invention is not affected by the color of the tongue periphery and the burr of the tongue boundary curve. Improve the accuracy of tongue tooth mark recognition.
  • FIG. 1 is a schematic block diagram of a preferred embodiment of a tongue tooth mark recognition device based on a tongue contour line of the present invention
  • FIG. 2 is a method flowchart of a preferred embodiment of a tongue tooth mark recognition method based on a tongue contour line of the present invention
  • FIG. 3 is a schematic diagram of a tongue tooth mark recognition process based on a tongue contour line according to the present invention.
  • FIG. 1 is a schematic block diagram of a preferred embodiment of a tongue tooth mark recognition device based on a tongue contour line of the present invention.
  • the tongue tooth mark recognition device 1 based on the tongue outline is installed with a tongue tooth mark recognition system 10 based on the tongue outline, and the tongue tooth mark recognition based on the tongue outline
  • the device 1 may be a computer device having a data processing function and an image processing function, such as a personal computer, a workstation computer, a traditional Chinese medicine tongue imager, and the like, which are equipped with the tongue tooth mark recognition system 10 based on the tongue contour line.
  • the tongue tooth mark recognition device 1 based on the tongue outline includes, but is not limited to, a tongue tooth mark recognition system 10 based on the tongue outline, an input unit 11, and is adapted to store a plurality of A computer program instruction memory 12, a processor 13 executing various computer program instructions, and an output unit 14.
  • the input unit 11 is an input device such as a keyboard, a mouse, a camera, and the like, and is configured to input a tongue image including a tongue of a patient into the tongue tooth mark recognition device 1.
  • the memory 12 may be a read-only memory ROM, a random access memory RAM, an electrically erasable memory EEPROM, a flash memory FLASH, a magnetic disk, or an optical disk.
  • the processor 13 is a central processing unit (CPU), a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function.
  • the output unit 14 may be a display screen for displaying a tongue image, or a printer for printing a tongue image.
  • the tongue tooth mark recognition system 10 based on the tongue outline is composed of a plurality of program modules composed of computer program instructions, including, but not limited to, a tongue image processing module 101 and a tongue outline
  • the module referred to in the present invention refers to a series of computer program instruction segments that can be executed by the processor 13 of the tongue tooth mark recognition device 1 based on the tongue contour line and can complete a fixed function, and is stored in the memory 12, The specific functions of each module are described in detail below with reference to FIG. 2.
  • FIG. 2 it is a flowchart of a preferred embodiment of a tongue tooth mark recognition method based on a tongue contour line of the present invention.
  • various method steps of the tongue body tooth mark recognition method are implemented by a computer software program, and the computer software program is stored in a computer readable storage medium (such as the memory 12) in the form of computer program instructions
  • the computer-readable storage medium may include a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the computer program instructions can be loaded by a processor (for example, the processor 13) and execute steps S21 to S30 as follows.
  • a tongue image is input through the input unit, and the tongue image is converted into a grayscale image.
  • the tongue image processing module 101 takes in a clear image from the patient's mouth through the input unit 11 (such as a high-definition camera) Or a tongue image stored in the memory 12 in advance, the tongue image is a color tongue RGB image composed of three channels of R, G, and B, and the tongue RGB image is grayed out.
  • Degree conversion generates a grayscale picture, as shown in Figure a in Figure 3.
  • Step S22 Binarize the grayscale image to generate a binary image, and perform tongue morphological transformation on the binary image to remove small black blocks.
  • the tongue image processing module 101 binarizes a grayscale picture (as shown in FIG. 3 a) to generate a binary image, and performs tongue morphological transformation on the binary image to remove small black blocks ( (Shown in Figure 3b), to remove the impurities in the tongue image to obtain a binary image without impurities, as shown in Figure 3c.
  • Step S23 Image contour tracking processing is performed on the binary image to generate tongue contour lines.
  • the tongue contour extraction module 102 performs image contour tracking processing on the binary images to generate tongue contour lines (as shown in FIG. 3). (shown in Figure d), including the following steps: Step 1. First, scan the binary image in order from top to bottom and left to right, and find the first boundary starting point A 0 without the tracking end mark as the current boundary point.
  • Step 2 define a scanning direction variable dir, which is used to record the moving direction along the previous boundary point to the current boundary point in Step 1, this variable
  • Step 3 the 3 * 3 neighborhood of the current pixel is searched in the counterclockwise direction, and the initial search direction is set as follows: (dir + 3 for the four-connected area) ) Mod 4, where mod is a modulo operation, the first pixel point that is the same as the current pixel searched in the 3 * 3 neighborhood is used as the new boundary point A n , and the variable dir is updated as the new scanning direction value; steps 4, if A n, etc.
  • the second boundary point A 1, and a front boundary point A n-1 is equal to a first boundary point A 0, the search is stopped and ends the track boundary, a boundary point or the repeat step 3 to continue the search; Step 5, starting from The boundary formed by the tracked boundary points A 0 , A 1 , A 2 , ..., A n-2 is the contour line of the tongue.
  • the tongue body centroid is calculated according to the tongue body contour line.
  • the tongue body centroid calculation module 103 calculates the tongue body centroid according to the tongue body contour line.
  • the specific algorithm is as follows: a zero-order moment is used to calculate the Area (including contour and connected domain), the zero-order moment is expressed as: , Where the binary image is a single-channel image, Represents the gray value of the pixel at the (i, j) point of the binary image. There are only two values of 0 (black) and 1 (white). M 00 is the sum of the gray values of the white area in the binary image. Therefore, M 00 can be used to find the area of the binary image (including the contour and the connected domain).
  • the first-order moment and the area M 00 of the binary image are used to calculate the centroid of the binary image as the center of mass of the tongue.
  • the first-order moment is expressed as: , , Where M 10 is the cumulative sum of the x-coordinate values of all white areas on the binary image, and M 01 is the cumulative sum of the y-coordinate values of all white areas on the binary image.
  • the tongue body centroid calculation module 103 is based on the following formula: , Calculate the centroid of the binary image (the center point shown in Figure e of Fig. 3) as the tongue centroid, where x c and y c are the centroid coordinates of the binary image.
  • the tongue root boundary area is determined according to the center of mass of the tongue.
  • the tongue root boundary determination module 104 surrounds the tongue formed by the contour lines of the tongue root corresponding to the left and right angles of the vertical center of mass of the tongue with 50 °
  • the upper half of the body serves as the border area of the tongue base. Because the boundary points appearing in the root region of the tongue do not constitute tongue tooth marks, the tooth root boundary region does not perform tooth mark recognition. Therefore, it is necessary to delete the tooth marks in the tongue root border region to improve the accuracy of tongue tooth mark recognition.
  • the left and right angles between the vertical direction of the center of mass of the tongue body and the left and right sides are respectively 50 ° (as shown in FIG. 3 f).
  • the upper half of the tongue surrounded by the contour line is used as the tongue root boundary area.
  • the convex contour of the tongue contour is calculated according to the contour of the tongue, as the approximate contour of the tooth marks of the tongue.
  • the tooth contour determining module 105 sets all points in the set of points in the contour of the tongue (assuming A total of n points) are paired in pairs (two points determine a straight line) to form n (n-1) / 2 straight lines; for each straight line determined by any two points, traverse the remaining two points (n-2 ) Whether the points are on the same side of the line, if there is a point on one side of the line, add the point to the convex hull set until all the lines have been traversed, and use the convex hull set as the approximate tongue
  • the contour line of the tooth mark is the contour line of the convex portion as shown in FIG. 3g.
  • step S27 the position of the tooth mark is determined according to the maximum distance between the contour line of the tongue and the contour line of the approximate tongue tooth mark.
  • the tongue tooth mark recognition module 106 is based on the tongue contour line and the approximate tongue tooth mark.
  • the maximum distance between the contour lines determines the position of the tooth marks. Specifically, it is assumed that there are m points on the contour line of the approximate tongue tooth mark, and each adjacent two points are connected to form m straight lines. The two endpoints of each straight line L in the m edges are at the two points corresponding to the contour line of the tongue. There may be p points between the end points on the contour of the tongue. Calculate the distance from the p points to the straight line L, where the maximum distance is recorded as D.
  • step S28 it is determined whether a tooth mark exists at the contour of the tongue base.
  • the tongue tooth mark recognition module 106 determines whether a tooth mark exists at the contour of the tongue base. If there is a tooth mark at the contour of the tongue root, the process first performs step S28 and then step S29; if there is no tooth mark at the contour of the tongue root, the process directly performs step S29.
  • the tongue tooth mark recognition module 106 determines whether the point C exists in the tongue root boundary area, and if the point C exists in the tongue root boundary area, the position of the point C is excluded as a non-tooth mark; if the point C does not exist in the tongue root boundary area , Mark the tooth marks on the tongue image based on the position determined by point C, as shown in Figure 3 h, four white points on the contour line of the tongue.
  • step S29 the tooth marks at the outline of the tongue base are deleted.
  • the tongue tooth mark recognition module 106 determines that there are tooth marks at the tongue root outline, delete the tooth marks at the tongue root outline. Specifically, if the point C exists in the boundary area of the tongue root, the tongue tooth mark recognition module 106 excludes the position of the point C as a non-tooth mark, that is, the point C is deleted from the contour of the tongue root.
  • step S30 the tongue image is marked as a tongue tooth mark on the tongue image according to the determined tooth mark position, and finally a tongue image marked with a tooth mark position is generated.
  • the tongue tooth mark recognition module 106 marks the tongue tooth marks on the tongue image according to the determined tooth mark positions, and finally generates
  • the tongue image marked with the position of the tooth marks is shown in FIG. 3 i, the tongue image marked with four white dots. Specifically, if the point C does not exist in the border area of the tongue base, the position determined by the point C is marked as a tooth mark on the tongue image.
  • the tongue tooth mark recognition module 106 also displays the tongue image marked with the tooth mark position on the display screen through the output unit 14, or prints the tongue image marked with the tooth mark position through a printer, or marks the tooth mark
  • the tongue body image at the mark position is sent to the doctor's terminal through the communication network, so that the doctor can check the patient's tooth mark tongue information and formation status, thereby assisting the doctor in the TCM tongue diagnosis to obtain the health status of the patient.
  • the present invention also provides a computer-readable storage medium.
  • the computer-readable storage medium stores a plurality of computer program instructions.
  • the computer program instructions are loaded by a processor of a computer device and execute the tongue body based on the tongue contour line of the present invention. Steps of the tooth mark recognition method. Those skilled in the art may understand that all or part of the steps of the various methods in the foregoing embodiments may be completed by related program instructions.
  • the program may be stored in a computer-readable storage medium.
  • the storage medium may include a read-only memory, a random access memory, Disk or CD, etc.
  • the tongue tooth mark recognition device and method based on the tongue outline of the present invention can judge tooth marks based on the unevenness of the tongue outline. Since the tooth outline of the tongue will form a significant depression at the tooth mark, Therefore, the number of tongue tooth marks can be judged according to the unevenness of the contour line. The accuracy of the tongue tooth mark recognition of the present invention is not affected by the tongue peripheral color and the tongue boundary curve burr, so the tongue tooth mark recognition Accuracy.
  • the tongue tooth mark recognition device and method based on the tongue outline of the present invention can determine tooth marks based on the unevenness of the tongue outline, because the tooth outline of the tongue is in the tooth mark Obvious depressions will be formed everywhere, so the number of tongue tooth marks can be judged according to the unevenness of the contour line.
  • the accuracy of identifying tongue tooth marks of the present invention is not affected by the color of the tongue periphery and the burr of the tongue boundary curve. Improve the accuracy of tongue tooth mark recognition.

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Abstract

La présente invention concerne un dispositif et un procédé pour reconnaître une marque de dent sur la langue à l'aide d'un contour de langue, le procédé comprenant les étapes suivantes consistant à : soumettre une image de langue à une conversion d'échelle de gris pour générer une image d'échelle de gris ; soumettre l'image d'échelle de gris à une binarisation pour générer une image binaire ; soumettre l'image binaire à un suivi de contour d'image et à un traitement pour générer un contour de langue ; calculer un centroïde de langue sur la base du contour de langue ; déterminer une zone de bordure d'une racine de langue sur la base du centroïde de langue ; calculer une coque convexe de contour de langue sur la base du contour de langue, pour servir de contour approximatif d'une marque de dent sur la langue ; déterminer une position de la marque de dent sur la base d'une distance maximale entre le contour de langue et le contour approximatif de la marque de dent sur la langue ; juger si une marque de dent est présente au niveau d'un contour de la racine de dent ; et si une marque de dent est présente au niveau d'un contour de la racine de dent, alors supprimer la marque de dent au niveau d'un contour de la racine de dent ; et si une marque de dent n'est pas présente au niveau d'un contour de la racine de dent, alors étiqueter une marque de dent sur la langue sur l'image de langue sur la base de la position déterminée de la marque de dent, générant ainsi finalement une image de langue étiquetée avec la position de la marque de dent. La présente invention améliore la précision de reconnaissance et d'extraction d'une marque de dent sur la langue.
PCT/CN2019/103416 2018-08-30 2019-08-29 Dispositif et procédé pour reconnaître une marque de dent sur une langue à l'aide d'un contour de langue WO2020043178A1 (fr)

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CN112419357A (zh) * 2020-11-18 2021-02-26 方正株式(武汉)科技开发有限公司 一种生成图像实体轮廓一笔画路径的方法及系统
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CN113052866A (zh) * 2021-03-29 2021-06-29 天津大学 基于局部二值拟合模型的超声图像舌轮廓提取方法
CN116740054A (zh) * 2023-08-08 2023-09-12 天筛(聊城)生物科技有限公司 一种基于图像处理的舌象齿痕检测方法

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