A trauma visual recognition detection method and system based on the Internet

Abstract

The present invention discloses a visual identification and detection method and system for wounds based on the Internet, which relates to the field of wound identification technology, and includes a scanning module, an identification and calculation module, and a cloud-based consultation module. The scanning module shoots and scans the patient's wound from the front, back, and both sides, and transmits the wound projection image with a length and width of 300 mm to the scanning host. The scanning host preliminarily identifies the wound projection image, determines the specific location of the wound on the body, and preliminarily circles the wound contour of each wound projection image. The identification and calculation module obtains the projected area of ​​the figure enclosed by the wound contour according to the number of image grids in the wound contour, and then obtains the corrected area of ​​the wound according to the projected area of ​​the figure enclosed by the wound contour and the curvature correction coefficient. The identification and calculation module also transmits the injury proportion relationship in the wound to the cloud-based consultation module through the cloud-based interactor to realize the graded consultation function.

Description

Technical Field

[0001] The present invention relates to the technical field of wound identification, and in particular to an Internet-based wound visual identification detection method and system. Background Art

[0002] During field rescue, surgery cannot be performed immediately due to the distance from the hospital. Especially when faced with large-area wounds, it is difficult for ordinary medical staff or other personnel to judge and treat the wounds, and thus it is impossible to take effective protective measures to prevent wound infection. Therefore, trauma visual recognition detection methods are needed to effectively identify wounds, so as to arrange online consultations and hospital selection.

[0003] In the prior art, trauma identification and detection often rely on the experience of medical staff, which leads to the following problems in the prior art: (1) The treatment experience of medical staff is generally uneven, and medical staff cannot ensure that the nearest medical station has the corresponding emergency treatment capabilities, which may cause delays in the patient's condition; (2) During the transportation process of field rescue, it usually takes a long time, and there are no corresponding experts to examine the patient on the way. If the patient is examined at the medical station, it will delay precious treatment time; (3) The manual trauma identification and detection method cannot retain the patient's wound image in the cloud server, nor can it quickly calculate the proportion of exposed bone wounds in exposed flesh wounds, thereby failing to perform more accurate trauma identification and detection and reference comparison for subsequent treatment. Summary of the invention

[0004] The purpose of the present invention is to provide an Internet-based trauma visual recognition detection method and system, aiming to solve technical problems existing in the prior art, such as how to make up for the lack of medical staff's treatment experience, how to achieve effective expert consultation during transportation, how to retain references for wound images, and how to quickly calculate the proportion of exposed bone wounds in exposed flesh wounds.

[0005] In view of the above technical problems, the technical solution adopted by the present invention is: a visual identification and detection method of trauma based on the Internet, comprising the following steps:

[0006] Step S1: first manually drive the scanning host of the scanning module to move horizontally on the scanning slide, and then manually drive the scanning host and the scanning slide to move forward and backward on the scanning support, so that the center of the scanning camera is aligned with the center of the patient's wound;

[0007] Step S2: The scanning camera takes photos and scans the patient's wound from the front, back and both sides, and transmits the wound projection image with a length and width of 300 mm to the scanning host. The scanning host preliminarily recognizes the wound projection image, determines the specific location of the wound on the body, and preliminarily circles the wound contour of each wound projection image to obtain the contour curve of the exposed flesh wound. And the outline of the exposed wound ;

[0008] Step S3: The wound projection image after the circle is displayed on the scanning display device and transmitted to the computing host through the recognition lens, and the specific location information of the wound is transmitted to the computing host of the recognition computing module through the data exchange bracket;

[0009] Step S4: The computing host will calculate the curvature correction coefficient of the body part according to the specific location information of the wound , and at the same time the computing host establishes an XYZ three-dimensional coordinate system;

[0010] Step S5: manually turn on the recognition switch, so that the computing host uses the center of the wound projection image as the origin of the XY rectangular coordinate system, the horizontal axis of the XY rectangular coordinate system is the X axis, the vertical axis is the Y axis, the scale spacing in the X axis direction is 1 mm, and the scale spacing in the Y axis direction is 1 mm. Then the computing host divides the circled wound projection image into 90,000 image grids according to the XY rectangular coordinate system;

[0011] Step S6: Calculate the host according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , then according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , and then according to the curvature correction coefficient , find the corrected area of ​​the exposed wound and the corrected area of ​​the exposed wound ;

[0012] Step S7: The computing host then transmits and The proportion relationship between them is transmitted to the cloud consultation module to realize the hierarchical consultation function.

[0013] Preferably, the wounded body part is placed along the Y-axis direction; each wound projection image transmitted by the scanning camera to the scanning host is a projection of the real wound on the XY rectangular coordinate system; the scanning equation along the X-axis direction and the scanning equation along the Y-axis direction are established as follows; ;

[0014] Where: represents the horizontal coordinate of the scanning equation along the X-axis direction, The value range is -150 to 150; represents the ordinate of the scanning equation along the Y-axis direction, The value range is -150 to 150; express times the transverse intercept; express times the vertical intercept; represents a set of integers; is the step size coefficient, ;

[0015] During the scan, the shilling , to scan along the X-axis and Y-axis directions, and preliminarily determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinate value range of , to scan along the X-axis and Y-axis directions, and accurately determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinates of The coordinates of , The coordinates of ;in, , Both said hour The specific value of , Both said hour The specific value of and The scanning equation representing the movement along the X-axis and the contour curve in each wound projection image or contour curve The tangent point.

[0016] Preferably, the length and width of an image grid are both 1 mm, and the area of ​​an image grid is ; When an image grid and contour curve When there is an overlapped part in the enclosed figures, this image grid is recorded as the exposed flesh wound area; the computing host calculates the number of image grids recorded as the exposed flesh wound area. , and obtain the contour curve The projected area of ​​the enclosed figure ; The calculation formula is as follows: ;

[0017] Where: The value range is 0 to 90000; 1mm 2 ;

[0018] When an image grid and contour curve When there is an overlapped part in the enclosed figures, this image grid is recorded as the exposed wound area; the computing host calculates the number of image grids recorded as the exposed wound area , and obtain the contour curve The projected area of ​​the enclosed figure ; The calculation formula is as follows: ;

[0019] Where: The value range is 0 to 90000.

[0020] Preferably, when there is no wound, the cloud interactive device will issue a warning; when there is a wound, the XYZ three-dimensional coordinate system is stationary relative to the computing host, and the computing host establishes an XZ rectangular coordinate system based on the XYZ three-dimensional coordinate system and the XY rectangular coordinate system, the horizontal axis of the XZ rectangular coordinate system is the X axis, and the vertical axis is the Z axis; the origin of the XZ rectangular coordinate system coincides with the origin of the XY rectangular coordinate system; the scale spacing in the X-axis direction is 1mm, and the scale spacing in the Z-axis direction is 1mm; the cross-section of the body part to which the wound belongs is regarded as an ellipse, and then the maximum length of the body part to which the wound belongs in the X-axis direction is measured. and the maximum length in the Z-axis direction is , and then establish the ellipse equation of the body part with the origin of the XZ rectangular coordinate system as the center of the ellipse: ;

[0021] Where: Represents the horizontal coordinate of any point on the ellipse; Represents the ordinate of any point on the ellipse; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the X axis. ; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the Z axis. ;

[0022] The coordinates of the center of the ellipse are The projection of the exposed flesh wound or exposed bone wound corresponding to each wound projection image on the XZ rectangular coordinate system is just an arc on the ellipse, and the arc length is ; The two endpoints of the projection arc of the flesh-exposed wound or bone-exposed wound corresponding to each wound projection image on the ellipse are , ; The horizontal axis and The horizontal coordinates are equal; The horizontal axis and The horizontal coordinates of are equal; The horizontal axis and Substitute the horizontal coordinates of into the ellipse equations of the body parts, and we get and The vertical coordinate in the XZ rectangular coordinate system; since the shooting angle of each wound projection image is along the negative direction of the Z axis, and Above or within the X axis; The coordinates of , The coordinates of ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; The calculation formula is as follows:

[0023] ;

[0024] Where: Represents a straight line segment The angle with the positive half axis of the X axis, ;

[0025] The calculation formula is as follows:

[0026] ;

[0027] Where: Represents a straight line segment The angle with the positive half axis of the X axis, ;

[0028] Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows:

[0029] ;

[0030] Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows:

[0031] ;

[0032] according to The coordinates and Find the coordinates of arrive The length of the line segment is ; The calculation formula is as follows:

[0033] ;

[0034] according to The horizontal axis and The horizontal coordinate of The horizontal axis to The distance between the horizontal axes ; The calculation formula is as follows:

[0035] .

[0036] Preferably, a straight line segment With straight line segment The angle above the X-axis is ; The calculation formula is as follows:

[0037] ;

[0038] Where: Represents a straight line segment With straight line segment The angle above the X axis, ;

[0039] by and Draw an arc above the X-axis with the longest line segment as the radius, so that the two ends of the arc are respectively adjacent to the straight line segment , straight line segment Intersect, then according to the straight line segment With straight line segment Angle above the X axis And the radius of the arc , to find the length of the arc ; The calculation formula is as follows:

[0040] .

[0041] Preferably, according to the arc length and arrive The length of the line segment , find the arc length ; The calculation formula is as follows:

[0042] ;

[0043] According to the arc length and The horizontal axis to The distance between the horizontal axes , find the curvature correction coefficient ; The calculation formula is as follows:

[0044] .

[0045] Preferably, the computing host calculates the contour curve in each wound projection image. The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows:

[0046] ;

[0047] Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of

[0048] The computing host calculates the contour curve in each wound projection image The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows:

[0049] ;

[0050] Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of .

[0051] The present invention also provides an Internet-based trauma visual recognition and detection system, including a scanning module, a recognition and calculation module, and a cloud consultation module: the scanning module is bidirectionally connected to the recognition and calculation module; the scanning module and the recognition and calculation module exchange data; the recognition and calculation module are bidirectionally connected to the cloud consultation module; the recognition and calculation module and the cloud consultation module exchange data; the cloud consultation module includes a PC terminal, a mobile phone terminal and a cloud server; the PC terminal and the mobile phone terminal are used for online remote consultation by experts of various levels; the cloud server stores accounts, passwords and images of wounds of different levels; accounts and passwords of different levels correspond to experts of different levels.

[0052] Preferably, the scanning module includes a scanning bracket, a scanning slide, a scanning display, a scanning host, and a scanning camera; the patient lies below the scanning bracket in the left-right direction; the scanning slide is slidably installed in the scanning bracket in the front-back direction; the scanning host is slidably installed on the periphery of the scanning slide in the left-right direction; the scanning display is fixedly installed at the upper end of the scanning host; and the scanning camera is fixedly installed at the lower end of the scanning host.

[0053] Preferably, the identification and calculation module includes a data exchange bracket, a computing host, an identification switch, a cloud interactor, and an identification lens; the lower end of the data exchange bracket is fixedly connected to the scanning host; the upper end of the data exchange bracket is fixedly connected to the computing host; the computing host exchanges data with the scanning host through the data exchange bracket; the identification switch is rotatably connected to the side of the computing host; the identification switch is used to turn on the identification and calculation function of the computing host; the cloud interactor is fixedly installed at the upper end of the computing host; the cloud interactor is used to interact with the cloud consultation module; the identification lens is fixedly installed at the lower end of the computing host; and the lower end of the identification lens is also parallel to the upper end of the scanning display.

[0054] Compared with the prior art, the present invention has the following beneficial effects: (1) The scanning module takes a front, back and both sides of the patient's wound and transmits a wound projection image with a length and width of 300 mm to the scanning host. The scanning host preliminarily identifies the wound projection image, determines the specific location of the wound on the body, and preliminarily circles the wound contour of each wound projection image. (2) The recognition and calculation module obtains the projected area of ​​the figure enclosed by the wound contour according to the number of image grids in the wound contour, and then obtains the corrected area of ​​the wound according to the projected area of ​​the figure enclosed by the wound contour and the curvature correction coefficient. (3) The recognition and calculation module does not need to calculate the actual proportional area of ​​the wound, but realizes the rapid classification of the wound by the injury ratio between the exposed bone wound and the exposed flesh wound, and then transmits the injury ratio relationship in the wound to the cloud consultation module through the cloud interactive device to realize the graded consultation function. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 The figure is a flow chart of the trauma visual identification and detection method of the present invention.

[0056] Figure 2 This is a schematic diagram of the architecture of the trauma visual recognition and detection system of the present invention.

[0057] Figure 3 This is a structural principle diagram of the scanning module and the identification and calculation module of the present invention.

[0058] In the figure: 1- scanning module; 2- identification and calculation module; 3- cloud consultation module; 101- scanning bracket; 102- scanning slide; 103- scanning display; 104- scanning host; 105- scanning camera; 201- data exchange bracket; 202- computing host; 203- identification switch; 204- cloud interactor; 205- identification lens. DETAILED DESCRIPTION

[0059] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0060] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0061] Figures 1 to 3 It is a preferred embodiment of the present invention.

[0062] Figure 1 A flow chart of the trauma visual identification detection method of the present invention is provided, which comprises the following steps:

[0063] Step S1: first manually drive the scanning host 104 of the scanning module 1 to move horizontally on the scanning slide 102, and then manually drive the scanning host 104 and the scanning slide 102 to move forward and backward on the scanning support 101, so that the center of the scanning camera 105 is aligned with the center of the patient's wound;

[0064] Step S2: The scanning camera 105 takes a photo and scans the patient's wound from the front, back and both sides, and transmits the wound projection image with a length and width of 300 mm to the scanning host 104. The scanning host 104 performs a preliminary recognition of the wound projection image, determines the specific location of the wound on the body, and preliminarily circles the wound contour of each wound projection image to obtain the contour curve of the exposed flesh wound. And the outline of the exposed wound ;

[0065] Step S3: The wound projection image after the circle is displayed on the scanning display device 103 and transmitted to the computing host 202 through the recognition lens 205, and the specific location information of the wound is transmitted to the computing host 202 of the recognition computing module 2 through the data exchange bracket 201;

[0066] Step S4: The computing host 202 calculates the curvature correction coefficient of the body part according to the specific location information of the wound. , and at the same time the computing host 202 establishes an XYZ three-dimensional coordinate system;

[0067] Step S5: manually turn on the identification switch 203, so that the computing host 202 uses the center of the wound projection image as the origin of the XY rectangular coordinate system, the horizontal axis of the XY rectangular coordinate system is the X axis, the vertical axis is the Y axis, the scale spacing in the X axis direction is 1 mm, and the scale spacing in the Y axis direction is 1 mm. Then the computing host 202 divides the circled wound projection image into 90,000 image grids according to the XY rectangular coordinate system;

[0068] Step S6: The host computer 202 calculates the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , then according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , and then according to the curvature correction coefficient , find the corrected area of ​​the exposed wound and the corrected area of ​​the exposed wound ;

[0069] Step S7: The computing host 202 then transmits the and The proportion relationship between them is transmitted to the cloud consultation module 3 to realize the hierarchical consultation function.

[0070] The working principle of the present invention is as follows: the scanning support 101 is prevented from moving from the head to the feet of the patient, and then the scanning host 104 of the scanning module 1 is manually driven to move horizontally left and right on the scanning slide 102, and then the scanning host 104 and the scanning slide 102 are manually driven to move forward and backward on the scanning support 101, so that the center of the scanning camera 105 is aligned with the center of the patient's wound; the scanning camera 105 shoots and scans the patient's wound from the front, back and both sides, and transmits the wound projection image with a length and width of 300 mm to the scanning host 104, and the scanning host 104 preliminarily recognizes the wound projection image, determines the specific position of the wound on the body, and preliminarily circles the wound contour of each wound projection image to obtain the contour curve of the exposed flesh wound. And the outline of the exposed wound The wound projection image after the circle is displayed on the scanning display 103 and transmitted to the computing host 202 through the recognition lens 205, and the specific location information of the wound is transmitted to the computing host 202 of the recognition computing module 2 through the data exchange bracket 201; the computing host 202 calculates the curvature correction coefficient of the body part according to the specific location information of the wound , and at the same time, the computing host 202 establishes an XYZ three-dimensional coordinate system; then the identification switch 203 is manually turned on, so that the computing host 202 uses the center of the wound projection image as the origin of the XY rectangular coordinate system, the horizontal axis of the XY rectangular coordinate system is the X axis, the vertical axis is the Y axis, the scale spacing in the X-axis direction is 1mm, and the scale spacing in the Y-axis direction is 1mm.

[0071] Furthermore, each wound projection image transmitted by the scanning camera 105 to the scanning host 104 is a projection of the real wound on the XY rectangular coordinate system; the scanning equation along the X-axis direction and the scanning equation along the Y-axis direction are established as follows;

[0072] ;

[0073] Where: represents the horizontal coordinate of the scanning equation along the X-axis direction, The value range is -150 to 150; represents the ordinate of the scanning equation along the Y-axis direction, The value range is -150 to 150; express times the transverse intercept; express times the vertical intercept; represents a set of integers; is the step size coefficient, ;

[0074] During the scan, the shilling , to scan along the X-axis and Y-axis directions, and preliminarily determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinate value range of , to scan along the X-axis and Y-axis directions, and accurately determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinates of The coordinates of , The coordinates of ;in, , Both said hour The specific , Both said hour The specific value of and Scanning equation and contour curve representing movement along the X-axis or contour curve The tangent point.

[0075] Furthermore, the computing host 202 divides the wound projection image after the circle into 90,000 image grids according to the XY rectangular coordinate system; the computing host 202 divides the wound projection image into 90,000 image grids according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , then according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure ; The length and width of an image grid are both 1 mm, and the area of ​​an image grid is ; When an image grid and contour curve When there is an overlapped part in the enclosed figures, this image grid is recorded as the exposed flesh wound area; The calculation formula is as follows:

[0076] ;

[0077] Where: The value range is 0 to 90000; 1mm 2 ;

[0078] When an image grid and contour curve When the enclosed figures have overlapping parts, this image grid is recorded as the exposed wound area; The calculation formula is as follows:

[0079] ;

[0080] Where: The value range is 0 to 90000.

[0081] Furthermore, when there is no wound, the cloud interactive device 204 will issue a warning; when there is a wound, the computing host 202 establishes an XZ rectangular coordinate system based on the XYZ three-dimensional coordinate system and the XY rectangular coordinate system, the horizontal axis of the XZ rectangular coordinate system is the X axis, and the vertical axis is the Z axis; the origin of the XZ rectangular coordinate system coincides with the origin of the XY rectangular coordinate system; the scale spacing in the X-axis direction is 1mm, and the scale spacing in the Z-axis direction is 1mm; the cross section of the body part to which the wound belongs is regarded as an ellipse, and then the maximum length of the body part to which the wound belongs in the X-axis direction is measured. and the maximum length in the Z-axis direction is , and then establish the ellipse equation of the body part with the origin of the XZ rectangular coordinate system as the center of the ellipse:

[0082] ;

[0083] Where: Represents the horizontal coordinate of any point on the ellipse; Represents the ordinate of any point on the ellipse; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the X axis. ; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the Z axis. ;

[0084] The coordinates of the center of the ellipse are The projection of the exposed flesh wound or exposed bone wound corresponding to each wound projection image on the XZ rectangular coordinate system is just an arc on the ellipse, and the arc length is ; The two endpoints of the projection arc of the flesh-exposed wound or bone-exposed wound corresponding to each wound projection image on the ellipse are , ; The horizontal axis and The horizontal coordinates are equal; The horizontal axis and The horizontal coordinates of are equal; The horizontal axis and Substitute the horizontal coordinates of into the ellipse equations of the body parts, and we get and The vertical coordinate in the XZ rectangular coordinate system; since the shooting angle of each wound projection image is along the negative direction of the Z axis, and Above or within the X axis; The coordinates of , The coordinates of ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; The calculation formula is as follows:

[0085] ;

[0086] Where: Represents a straight line segment The angle with the positive half axis of the X axis, ;

[0087] The calculation formula is as follows:

[0088] ;

[0089] Where: Represents a straight line segment The angle with the positive half axis of the X axis, ;

[0090] Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows:

[0091] ;

[0092] Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows:

[0093] ;

[0094] according to The coordinates and Find the coordinates of arrive The length of the line segment is ; The calculation formula is as follows:

[0095] ;

[0096] according to The horizontal axis and The horizontal coordinate of The horizontal axis to The distance between the horizontal axes ; The calculation formula is as follows:

[0097] .

[0098] Furthermore, let the straight line segment With straight line segment The angle above the X-axis is ; The calculation formula is as follows:

[0099] ;

[0100] Where: Represents a straight line segment With straight line segment The angle above the X axis, ;

[0101] by and Draw an arc above the X-axis with the longest line segment as the radius, so that the two ends of the arc are respectively adjacent to the straight line segment , straight line segment Intersect, then according to the straight line segment With straight line segment Angle above the X axis And the radius of the arc , to find the length of the arc ; The calculation formula is as follows:

[0102] .

[0103] Furthermore, according to the arc length and arrive The length of the line segment , find the arc length ; The calculation formula is as follows:

[0104] ;

[0105] Due to the curvature of the body, there is a certain error between the area of ​​the projected image of the wound on the XY rectangular coordinate system and the actual area of ​​the wound. In order to correct this error, it is also necessary to calculate the curvature correction coefficient , and then according to the curvature correction coefficient Calculate the corrected area of ​​the exposed wound and the corrected area of ​​the exposed wound ; According to the arc length and The horizontal axis to The distance between the horizontal axes , find the curvature correction coefficient ; The calculation formula is as follows:

[0106] .

[0107] Furthermore, the computing host 202 calculates the contour curve in each wound projection image. The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows:

[0108] ;

[0109] Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of

[0110] The computing host 202 calculates the contour curve in each wound projection image. The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows:

[0111] ;

[0112] Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of .

[0113] Furthermore, the computing host 202 first calculates the number of wound projection images in each wound projection image. and The proportion relationship between them is calculated, and then the computing host 202 calculates the proportion of each wound projection image according to and The wounds are graded by the proportion relationship between them, and then each wound projection image and and The proportion relationship between them is transmitted to the cloud consultation module 3 of the corresponding level to realize the remote graded consultation by experts; at the same time, medical staff select the nearest medical station with treatment capabilities based on the expert's consultation results.

[0114] For an Internet-based trauma visual recognition and detection system, such as Figure 2 and Figure 3As shown, it includes a scanning module 1, an identification and calculation module 2, and a cloud consultation module 3: the scanning module 1 is bidirectionally connected to the identification and calculation module 2; the scanning module 1 and the identification and calculation module 2 exchange data; the identification and calculation module 2 is bidirectionally connected to the cloud consultation module 3; the identification and calculation module 2 and the cloud consultation module 3 exchange data; the cloud consultation module 3 includes a PC terminal, a mobile phone terminal and a cloud server; the PC terminal and the mobile phone terminal are used for online remote consultation by experts of various levels; the cloud server stores accounts, passwords and images of wounds of different levels; accounts and passwords of different levels correspond to experts of different levels; the scanning module 1 includes a scanning bracket 101, a scanning slide 102, a scanning display 103, a scanning host 104, and a scanning camera 105; the patient lies under the scanning bracket 101 in the left-right direction; the scanning slide 102 is slidably installed in the scanning bracket 101 in the front-back direction; the scanning host 104 is slidably installed on the periphery of the scanning slide 102 in the left-right direction; the scanning The scanning display 103 is fixedly mounted on the upper end of the scanning host 104; the scanning camera 105 is fixedly mounted on the lower end of the scanning host 104; the identification and calculation module 2 includes a data exchange bracket 201, a computing host 202, an identification switch 203, a cloud interactor 204, and an identification lens 205; the lower end of the data exchange bracket 201 is fixedly connected to the scanning host 104; the upper end of the data exchange bracket 201 is fixedly connected to the computing host 202; the computing host 202 exchanges data with the scanning host 104 through the data exchange bracket 201; the identification switch 203 is rotatably connected to the side of the computing host 202; the identification switch 203 is used to turn on the identification and calculation function of the computing host 202; the cloud interactor 204 is fixedly mounted on the upper end of the computing host 202; the cloud interactor 204 is used to interact with the cloud consultation module 3; the identification lens 205 is fixedly mounted on the lower end of the computing host 202; the lower end of the identification lens 205 is also parallel to the upper end of the scanning display 103.

[0115] The present invention is not limited to the above-mentioned specific implementation modes. Various changes made by technicians in the relevant technical field based on the above-mentioned conception without creative work all fall within the protection scope of the present invention.

Claims

1. A trauma visual recognition detection method based on the Internet, characterized in that: The following steps are involved: Step S1: first manually driving the scanning mainframe (104) of the scanning module (1) to move horizontally on the scanning slide (102), and then manually driving the scanning mainframe (104) and the scanning slide (102) to move forward and backward on the scanning support (101), so that the center of the scanning camera (105) is aligned with the center of the patient's wound; Step S2: The scanning camera (105) scans the patient's wound from the front, back and both sides, and transmits a wound projection image with a length and width of 300 mm to the scanning host (104). The scanning host (104) performs preliminary recognition on the wound projection image, determines the specific location of the wound on the body, and preliminarily circles the wound contour of each wound projection image to obtain a contour curve of the exposed flesh wound. And the outline of the exposed wound ; Step S3: the wound projection image after the circle is displayed on the scanning display device (103) and transmitted to the computing host (202) through the recognition lens (205), and the specific location information of the wound is transmitted to the computing host (202) of the recognition computing module (2) through the data exchange bracket (201); Step S4: The computing host (202) calculates the curvature correction coefficient of the body part according to the specific location information of the wound. , while the computing host (202) establishes an XYZ three-dimensional coordinate system; Step S5: manually turning on the identification switch (203), so that the computing host (202) uses the center of the wound projection image as the origin of the XY rectangular coordinate system, the horizontal axis of the XY rectangular coordinate system is the X axis, the vertical axis is the Y axis, the scale spacing in the X axis direction is 1 mm, and the scale spacing in the Y axis direction is 1 mm, and then the computing host (202) divides the circled wound projection image into 90,000 image grids according to the XY rectangular coordinate system; Step S6: The computing host (202) calculates the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , then according to the contour curve The number of image grids enclosed by the figure , and obtain the contour curve The projected area of ​​the enclosed figure , and then according to the curvature correction coefficient , find the corrected area of ​​the exposed wound and the corrected area of ​​the exposed wound ; The length and width of an image grid are both 1 mm, and the area of ​​an image grid is ; When an image grid and contour curve When there is an overlapped part in the enclosed figures, this image grid is recorded as an exposed flesh wound area; the computing host (202) calculates the number of image grids recorded as the exposed flesh wound area according to the number of image grids recorded as the exposed flesh wound area. , and obtain the contour curve The projected area of ​​the enclosed figure ; The calculation formula is as follows: ； Where: The value range is 0 to 90000; 1mm 2 ; When an image grid and contour curve When there is an overlapped part in the enclosed figures, this image grid is recorded as an exposed wound area; the computing host (202) calculates the number of image grids recorded as exposed wound areas according to the number of image grids recorded as exposed wound areas. , and obtain the contour curve The projected area of ​​the enclosed figure ; The calculation formula is as follows: ； Where: The value range is 0 to 90000; The computing host (202) calculates the contour curve in each wound projection image. The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows: ； Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of The computing host (202) calculates the contour curve in each wound projection image. The projected area of ​​the enclosed figure and curvature correction factor , find the corrected area of ​​the exposed wound ; The calculation formula is as follows: ； Where: Indicates the curvature correction coefficient of the exposed wound in each wound projection image The specific value of Step S7: The computing host (202) then transmits the and The proportion relationship between them is transmitted to the cloud consultation module (3) to realize the hierarchical consultation function.

2. The Internet-based trauma visual identification and detection method according to claim 1, characterized in that: During scanning, the body part with the wound is first placed along the Y-axis direction; each wound projection image transmitted by the scanning camera (105) to the scanning host (104) is a projection of the real wound on the XY rectangular coordinate system; then, the scanning equation along the X-axis direction and the scanning equation along the Y-axis direction are established as follows: ； Where: represents the horizontal coordinate of the scanning equation along the X-axis direction, The value range is -150 to 150; represents the ordinate of the scanning equation along the Y-axis direction, The value range is -150 to 150; express times the transverse intercept; express times the vertical intercept; represents a set of integers; is the step size coefficient, ; During the scan, the shilling , to scan along the X-axis and Y-axis directions, and preliminarily determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinate value range of , to scan along the X-axis and Y-axis directions, and accurately determine the contour curve in each wound projection image or contour curve Two edge points in the X-axis direction , The coordinates of The coordinates of , The coordinates of ;in, , Both said hour The specific value of , Both said hour The specific value of and The scanning equation representing the movement along the X-axis and the contour curve in each wound projection image or contour curve The tangent point.

3. The Internet-based trauma visual identification and detection method according to claim 2, characterized in that: When there is no wound, the cloud interactive device (204) will issue a warning; when there is a wound, the computing host (202) establishes an XZ rectangular coordinate system based on the XYZ three-dimensional coordinate system and the XY rectangular coordinate system, the horizontal axis of the XZ rectangular coordinate system is the X axis, and the vertical axis is the Z axis; the origin of the XZ rectangular coordinate system coincides with the origin of the XY rectangular coordinate system; the scale spacing in the X-axis direction is 1 mm, and the scale spacing in the Z-axis direction is 1 mm; the cross section of the body part to which the wound belongs is regarded as an ellipse, and then the maximum length of the body part to which the wound belongs in the X-axis direction is measured. and the maximum length in the Z-axis direction is , and then establish the ellipse equation of the body part with the origin of the XZ rectangular coordinate system as the center of the ellipse: ； Where: Represents the horizontal coordinate of any point on the ellipse; Represents the ordinate of any point on the ellipse; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the X axis. ; Indicates the distance from the center of the ellipse to the intersection of the ellipse and the positive semi-axis of the Z axis. ; The coordinates of the center of the ellipse are The projection of the exposed flesh wound or exposed bone wound corresponding to each wound projection image on the XZ rectangular coordinate system is just an arc on the ellipse, and the arc length is ; The two endpoints of the projection arc of the flesh-exposed wound or bone-exposed wound corresponding to each wound projection image on the ellipse are , ; The horizontal axis and The horizontal coordinates are equal; The horizontal axis and The horizontal coordinates of are equal; The horizontal axis and Substitute the horizontal coordinates of into the ellipse equations of the body parts, and we get and The vertical coordinate in the XZ rectangular coordinate system; since the shooting angle of each wound projection image is along the negative direction of the Z axis, and Above or within the X axis; The coordinates of , The coordinates of ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; Create the ellipse center to The straight line segment , straight line segment The angle with the positive half axis of the X axis is ; The calculation formula is as follows: ； Where: Represents a straight line segment The angle with the positive half axis of the X axis, ; The calculation formula is as follows: ； Where: Represents a straight line segment The angle with the positive half axis of the X axis, ; Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows: ； Ellipse equations and straight line segments of body parts The intersection points of the equations, i.e. the endpoints ;according to The coordinates of the ellipse center are found to The length of the line segment is ; The calculation formula is as follows: ； according to The coordinates and Find the coordinates of arrive The length of the line segment is ; The calculation formula is as follows: ； according to The horizontal axis and The horizontal coordinate of The horizontal axis to The distance between the horizontal axes ; The calculation formula is as follows: 。 4. The Internet-based trauma visual identification and detection method according to claim 3, characterized in that: Set straight line segment With straight line segment The angle above the X-axis is ; The calculation formula is as follows: ； Where: Represents a straight line segment With straight line segment The angle above the X axis, ; by and Draw an arc above the X-axis with the longest line segment as the radius, so that the two ends of the arc are respectively adjacent to the straight line segment , straight line segment Intersect, then according to the straight line segment With straight line segment Angle above the X axis And the radius of the arc , to find the length of the arc ; The calculation formula is as follows: 。 5. The Internet-based trauma visual identification and detection method according to claim 4, characterized in that: According to the arc length and arrive The length of the line segment , find the arc length ; The calculation formula is as follows: ； According to the arc length and The horizontal axis to The distance between the horizontal axes , find the curvature correction coefficient ; The calculation formula is as follows: 。 6. A system based on the Internet-based trauma visual identification and detection method according to claim 5, characterized in that: The invention comprises a scanning module (1), an identification and calculation module (2), and a cloud consultation module (3): the scanning module (1) and the identification and calculation module (2) are bidirectionally connected; the scanning module (1) and the identification and calculation module (2) perform data exchange; the identification and calculation module (2) and the cloud consultation module (3) are bidirectionally connected; the identification and calculation module (2) and the cloud consultation module (3) perform data exchange; the cloud consultation module (3) comprises a PC terminal, a mobile phone terminal, and a cloud server; the PC terminal and the mobile phone terminal are used for online remote consultation by experts of different levels; the cloud server stores accounts, passwords, and wound images of different levels; and accounts and passwords of different levels correspond to experts of different levels.

7. A system based on the Internet-based trauma visual identification and detection method according to claim 6, characterized in that: The scanning module (1) comprises a scanning support (101), a scanning slide (102), a scanning display (103), a scanning host (104), and a scanning camera (105); the patient lies below the scanning support (101) in the left-right direction; the scanning slide (102) is slidably mounted in the scanning support (101) in the front-back direction; the scanning host (104) is slidably mounted on the periphery of the scanning slide (102) in the left-right direction; the scanning display (103) is fixedly mounted on the upper end of the scanning host (104); and the scanning camera (105) is fixedly mounted on the lower end of the scanning host (104).

8. A system based on the Internet-based trauma visual identification and detection method according to claim 7, characterized in that: The identification and calculation module (2) comprises a data exchange bracket (201), a computing host (202), an identification switch (203), a cloud interactor (204), and an identification lens (205); the lower end of the data exchange bracket (201) is fixedly connected to the scanning host (104); the upper end of the data exchange bracket (201) is fixedly connected to the computing host (202); the computing host (202) exchanges data with the scanning host (104) via the data exchange bracket (201); the identification switch (203) is rotatably connected to the side of the computing host (202); the identification switch (203) is used to activate the identification and calculation function of the computing host (202); the cloud interactor (204) is fixedly mounted on the upper end of the computing host (202); the cloud interactor (204) is used to interact with the cloud medical consultation module (3); the identification lens (205) is fixedly mounted on the lower end of the computing host (202); the lower end of the identification lens (205) is also parallel to the upper end of the scanning display (103).

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