CN113057596A - Striae gravidarum comprehensive evaluation detector and using method thereof - Google Patents
Striae gravidarum comprehensive evaluation detector and using method thereof Download PDFInfo
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Abstract
The invention provides a striae gravidarum comprehensive evaluation detector and a using method thereof, and relates to the technical field of postpartum rehabilitation medical detection equipment. The comprehensive striae gravidarum evaluation detector comprises a supporting panel and an image processing terminal, wherein the supporting panel is supported at the top of a sickbed, supporting legs are fixedly connected to corners of the bottom of the supporting panel, a plurality of shadowless lamps are mounted on the periphery of the top of the supporting panel, a lifting mechanism is arranged in the center of the top of the supporting panel, a wireless wide-angle camera is mounted at the bottom of the center of the lifting mechanism, and the supporting legs are designed to be of a lifting structure; the shadowless lamps are uniformly distributed on the top of the supporting panel; the wireless wide-angle camera is connected with the image processing terminal through a wireless signal or Bluetooth.
Description
Technical Field
The invention relates to the technical field of postpartum rehabilitation medical detection equipment, in particular to a striae gravidarum comprehensive evaluation detector and a using method thereof.
Background
Stretch marks are a linear skin lesion of the dermis that occurs during pregnancy and that manifests as a dark or purple-red streak at an early stage, followed by depigmentation, laxity, atrophy and finally, after stabilization, a white or silvery crepe paper-like appearance. Mainly distributed in the abdomen, also seen in the chest, back, buttocks and near ends of the limbs, about 60-90% of pregnant women suffer from striae gravidarum clinically; stretch marks have recently received much attention and research. No clear etiology has been found so far, nor has a therapeutic approach established as a gold standard. Due to the universality and permanence of the striae gravidarum, the skin appearance of postpartum women is seriously damaged, great mental stress and psychological stress are brought to the sufferers, and the life quality of the sufferers is influenced.
The clinical classification of striae gravidarum is currently based on the following five factors: texture color, average depression depth, width, distribution density and distribution range; the clinical performance classification method takes subjective judgment of doctors as a standard and lacks objective indexes, therefore, a novel comprehensive striae gravidarum evaluation detector and a using method thereof are developed, the research aims to detect objective data of five index factors of striae gravidarum after novel design and research, the objective data is obtained through processing of computer image recognition software, comprehensive evaluation is carried out, and scientific and objective grading is carried out on the striae gravidarum; based on the method, the change of the color, the width, the distribution range and the like of the striae gravidarum before and after the rehabilitation therapy is comprehensively evaluated and compared, and the rehabilitation therapy effect is judged by objective data change, so that a foundation is laid for selecting an optimal scheme for the personalized and accurate rehabilitation therapy of the postpartum striae gravidarum.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a striae gravidarum comprehensive evaluation detector and a using method thereof, which solve the problems that the clinical classification of the striae gravidarum is based on the following five factors: texture color, average depression depth, width, distribution density and distribution range; the clinical performance classification method takes the subjective judgment of doctors as the standard and is lack of objective indexes.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a striae gravidarum comprehensive evaluation detector, is including supporting at the supporting panel and the image processing terminal at sick bed top, the equal fixedly connected with stabilizer blade in edge department of supporting panel bottom, a plurality of shadowless lamps are installed to the week side at supporting panel top, the center at supporting panel top is provided with elevating system, wireless wide angle camera is installed to the bottom at elevating system center.
Preferably, a plurality of the supporting legs are designed to be of a lifting structure.
Preferably, a plurality of the shadowless lamps are uniformly distributed on the top of the support panel.
Preferably, the wireless wide-angle camera is connected with the image processing terminal through wireless signals or Bluetooth.
The application method of the comprehensive striae gravidarum evaluation detector comprises the following specific steps:
s1, firstly, a user lies on a sickbed, the abdomen or other parts with stretch marks of the user are exposed, and then the positions of a plurality of support legs and a support panel are adjusted, so that a wireless wide-angle camera is positioned right above the stretch marks of the user;
s2, after adjustment is finished, starting a plurality of shadowless lamps, wirelessly connecting the wireless wide-angle camera with the image processing terminal, and after connection is finished, adjusting the height of a lifting part of a lifting mechanism according to actual conditions, so that an image shot by the wireless wide-angle camera can be clearly displayed on the image processing terminal;
s3, performing binarization processing on the shot stretch mark image information by using an image processing terminal (7) to enable the whole image to show an obvious black and white effect;
s4, carrying out gray level conversion on the obtained binary image, so as to change the gray level difference between adjacent pixel points, thereby achieving the purpose of enhancing or weakening the contrast of the image, or changing the gray level range of the image, and realizing the stretching or compression of the gray level range of the image;
s5, performing edge extraction on the image after gray level conversion, firstly extracting edge points reflecting gray level changes, then removing certain edge points or filling edge discontinuous points, and connecting the edges into a complete line;
and S6, finishing the images shot at the initial stage and the later stage, and calculating the change numerical values of the color, the width and the density of the initial stage and the later stage of the stretch mark according to the information parameters of the images.
Preferably, in the image binarization processing in S3, the gray scale value of the pixel point on the image is set to 0 or 255.
Preferably, the image edge extraction process in S5 is a process of capturing a partial image based on the captured image.
Preferably, the variation value calculation data in S6 is composed of the stretch mark image information parameters taken by the same client at the early stage and the late stage.
(III) advantageous effects
The invention provides a striae gravidarum comprehensive evaluation detector and a using method thereof. The method has the following beneficial effects:
1. according to the comprehensive evaluation detector for the striae gravidarum and the using method thereof, more objective clinical striae gravidarum texture color, average dent depth, width, distribution density and distribution range can be obtained by detecting and calculating detailed parameter data, the comprehensive evaluation quality of the striae gravidarum recovery state is greatly improved, the overall working efficiency is greatly improved, and the comprehensive evaluation detector is worthy of being popularized vigorously.
2. The comprehensive evaluation detector for striae gravidarum and the using method thereof are characterized in that objective data of five index factors of striae gravidarum are detected, the objective data are obtained through processing of computer image recognition software, comprehensive evaluation is carried out, and scientific and objective grading is carried out on the striae gravidarum; based on the method, the change of the color, the width, the distribution range and the like of the striae gravidarum before and after the rehabilitation therapy is comprehensively evaluated and compared, and the rehabilitation therapy effect is judged by objective data change, so that a foundation is laid for selecting an optimal scheme for the personalized and accurate rehabilitation therapy of the postpartum striae gravidarum.
Drawings
FIG. 1 is a schematic structural diagram of a comprehensive striae gravidarum evaluation detector according to the present invention;
FIG. 2 is a schematic view of the installation structure of the wireless wide-angle camera according to the present invention;
FIG. 3 is a schematic diagram of binarization, gray scale conversion and edge extraction for the early detection of striae gravidarum according to the present invention;
fig. 4 is a schematic diagram of binarization, gray scale conversion and edge extraction for stretch mark later stage detection in the invention.
Wherein, 1, a sickbed; 2. a support panel; 3. a support leg; 4. a shadowless lamp; 5. a lifting mechanism; 6. a wireless wide-angle camera; 7. and an image processing terminal.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
as shown in fig. 1-2, an embodiment of the present invention provides a comprehensive evaluation detector for striae gravidarum, which includes a supporting panel 2 and an image processing terminal 7, the supporting panel 2 is supported on the top of a hospital bed 1, supporting legs 3 are fixedly connected to corners of the bottom of the supporting panel 2, a plurality of shadowless lamps 4 are installed on the periphery of the top of the supporting panel 2, a lifting mechanism 5 is arranged in the center of the top of the supporting panel 2, and a wireless wide-angle camera 6 is installed at the bottom of the center of the lifting mechanism 5.
The plurality of support legs 3 are designed to be of a lifting type structure.
A plurality of shadowless lamps 4 are all evenly distributed on top of the support panel 2.
The wireless wide-angle camera 6 is connected with the image processing terminal 7 through wireless signals or Bluetooth.
The application method of the comprehensive striae gravidarum evaluation detector comprises the following specific steps:
s1, firstly, a user lies on a sickbed 1, the abdomen or other parts with striae gravidarum of the user are exposed, and then the positions between a plurality of support legs 3 and a support panel 2 are adjusted, so that a wireless wide-angle camera 6 is positioned right above the striae gravidarum of the user;
s2, after adjustment is finished, the plurality of shadowless lamps 4 are turned on, the wireless wide-angle camera 6 is wirelessly connected with the image processing terminal 7, and after connection is finished, the height of the lifting part of the lifting mechanism 5 is adjusted according to actual conditions, so that an image shot by the wireless wide-angle camera 6 can be clearly displayed on the image processing terminal 7;
s3, performing binarization processing on shot stretch mark image information by using an image processing terminal 7 to enable the whole image to show an obvious black-and-white effect, wherein after the image information is subjected to binarization processing, the set property of the image is only related to the positions of points with pixel values of 0 or 255 and does not relate to multi-level values of the pixels any more, so that the processing is simple, the processing and compression amount of data are small, all pixels with gray levels larger than or equal to a threshold value are judged to belong to a specific object, the gray level of the pixels is 255 for representation, otherwise, the pixel points are excluded from an object area, and the gray level of the pixel points is 0 for representing a background or an exceptional object area;
s4, carrying out gray scale conversion on the obtained binary image, so as to change the gray scale difference between adjacent pixel points, thereby achieving the purpose of enhancing or weakening the image contrast, or changing the gray scale range of the image, thereby realizing the stretching or compression of the gray scale range of the image, wherein the gray scale conversion is to map the gray scale value of the image into different gray scale values according to a certain mapping relation, and can be divided into linear gray scale conversion and nonlinear gray scale conversion according to the difference of the mapping relation, the linear conversion means that the gray scale value is converted according to the linear mapping relation, and can be expressed by a mathematical formula as follows: s ═ kr + b (where r and s represent pixel values before and after processing, respectively, and k and b represent the slope and intercept of the gray-scale mapping line, respectively, when k is 1, it represents the image iso-map, when k >1, it represents the image contrast stretch, when 0< k <1, it represents the contrast decrease, when k is-1, it represents the gray-scale value inversion of the image, b >0 represents the image brightness increase, and b <0 represents the image brightness decrease); in practical applications, since the display usually has only 8 bits (0-255) and the data has 12-16 bits, the human eye cannot distinguish the difference of such tiny gray scale, if the data is converted to 0-255 of 8 bits, the process is a lossy conversion, and the obtained image is usually noisy, so that the problem is solved by adopting a window technology, wherein the window width refers to the gray scale range selected when the image is displayed, and the window level is the center position of the window. Portions outside this range will not be displayed (whitened or blackened); specifically, the range of intervals displayed should be [ window level-1/2 window width, window level +1/2 window width ].
S5, performing edge extraction on the image after gray level conversion, firstly extracting edge points reflecting gray level change, then removing certain edge points or filling up edge discontinuous points, and connecting the edges into a complete line, wherein most edge detection methods are methods for solving convolution based on a directional derivative mask, a derivative operator has the function of highlighting gray level change, and the derivative operator is applied to the image, and the calculated value of the point with larger gray level change is higher, so that the derivative values can be used as the boundary strength of the corresponding point, a boundary point set is extracted by setting a threshold, a first derivative operator and a simplest derivative operator respectively calculate the change rate of the gray level in the x direction and the y direction, and the gray level change rate in the alpha direction can be calculated by using a corresponding formula; for the digital image, differential operation is adopted to replace derivation;
and S6, finishing the images shot at the initial stage and the later stage, and calculating the change numerical values of the color, the width and the density of the initial stage and the later stage of the stretch mark according to the information parameters of the images.
In S3, the image is binarized, and the gray level of the pixel point on the image is set to 0 or 255.
The image edge extraction flow in S5 is a flow of cutting out a partial image on the basis of the captured image.
The variation value calculation data in S6 is composed of the stretch mark image information parameters photographed by the same client at the early stage and the late stage.
Example two:
as shown in fig. 3-4, in this embodiment, a set of comparison between the first and the later stretch marks is performed based on the first embodiment, and the specific operation procedures and results are as follows:
1. segmenting the image and extracting an interested area;
2. preprocessing, namely changing a color picture into a gray-scale image, changing the color picture into a black-and-white image after binarization, and extracting edges;
3. and (3) parameter calculation:
a) colour(s)
Selecting a striae gravidarum area (see fig. 3 and 4), and averaging the striae gravidarum colors and the average of normal skin colors; the calculation results are as follows:
in the initial stage: striae gravidarum color: rgb 183.0423, gray 159.5733; normal skin color rgb 200.5069, gray 177.0814;
and (3) later stage: striae gravidarum color: rgb 213.0638, gray 196.9275; normal skin color rgb 208.0863, gray 190.1096;
b) width of
Manually selecting n points (n is an even number, and is determined according to needs (points can be taken according to the end of carriage return), taking 10 points in the report, and then obtaining the average value of the width (when points are taken, the corresponding gray level graph is required to be referred to determine where the white lines are striae of pregnancy);
width of the initial stretch mark: and (3) pixel point length: width of 3.8128
Width of later stretch mark: and (3) pixel point length: width of 4.5109
c) Density of
i. Gray scale, rgb is firstly converted into gray graph for later calculation;
finding a suitable threshold for the picture, with which a grayscale image can be converted into a binary image, usually better than an artificially set threshold;
according to threshold value binarization, the percentage of pixel points formed by the striae gravidarum is the area ratio of the striae gravidarum (the color, black or white, of the striae gravidarum after binarization is determined by reference gray level map)
Area ratio of the initial striae gravidarum (in this case, striae gravidarum portion is black, 0): 0.5221
Area ratio of late stretch marks (in this case, the stretch mark portion is white, 1): 0.3584
Example three:
in this embodiment, based on the first embodiment, the stretch marks of different degrees, the stretch marks of women of different ages, the stretch marks of women of different heights and weights, and the stretch marks of women of different skin colors can be classified, detected and compared, and the specific contents are as follows:
1) the novel detecting instrument for the striae gravidarum detects data and typing standards:
the method comprises the following steps of determining the relationship between striae gravidarum color, average dent depth, average width of texture, average distribution density and distribution range data, determining the relationship between the determined data and clinical typing, and comparing the experimental determination value with a clinical visual determination method.
2) Age versus assay data:
and (3) determining the relationship among the age and the postpartum striae gravidarum color, the average depression depth, the average width of the texture, the average distribution density and the distribution range data, drawing a scatter diagram according to the experimental determination value, and performing correlation analysis.
3) Relationship between body weight and height and measurement data:
and (3) determining the relationship between the height of the special weight and the postpartum striae gravidarum color, the average depression depth, the average width of the texture, the average distribution density and the distribution range data, drawing a scatter diagram according to the experimental determination value, and performing correlation analysis.
4) Correlation of skin color to measurement data:
and (3) determining the relationship between the extreme skin color and the postpartum striae gravidarum color, the average depression depth, the average width of the texture, the average distribution density and the distribution range data, drawing a scatter diagram according to the experimental determination value, carrying out correlation analysis, and providing a necessary correction coefficient through the correlation analysis to ensure that the detection conclusion is more practical.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a striae gravidarum comprehensive evaluation detector, includes support panel (2) and image processing terminal (7) of supporting at sick bed (1) top, its characterized in that: the equal fixedly connected with stabilizer blade (3) of edge of supporting panel (2) bottom, a plurality of shadowless lamps (4) are installed to the week side at supporting panel (2) top, the center at supporting panel (2) top is provided with elevating system (5), wireless wide angle camera (6) are installed to the bottom at elevating system (5) center.
2. The comprehensive striae gravidarum evaluation detector of claim 1, wherein: the supporting legs (3) are all of a lifting structure.
3. The comprehensive striae gravidarum evaluation detector of claim 1, wherein: the shadowless lamps (4) are uniformly distributed on the top of the support panel (2).
4. The comprehensive striae gravidarum evaluation detector of claim 1, wherein: the wireless wide-angle camera (6) is connected with the image processing terminal (7) through wireless signals or Bluetooth.
5. A use method of a comprehensive striae gravidarum evaluation detector is characterized in that: the comprehensive evaluation detector for striae gravidarum according to any one of claims 1 to 4, comprising the steps of:
s1, firstly, a user lies on a sickbed (1), the abdomen or other parts with striae gravidarum of the user are exposed, and then the positions between a plurality of support legs (3) and a support panel (2) are adjusted, so that a wireless wide-angle camera (6) is positioned right above the striae gravidarum of the user;
s2, after adjustment is finished, turning on a plurality of shadowless lamps (4), wirelessly connecting the wireless wide-angle camera (6) with the image processing terminal (7), and after connection is finished, adjusting the height of a lifting part of the lifting mechanism (5) according to actual conditions, so that an image shot by the wireless wide-angle camera (6) can be clearly displayed on the image processing terminal (7);
s3, performing binarization processing on the shot stretch mark image information by using an image processing terminal (7) to enable the whole image to show an obvious black and white effect;
s4, carrying out gray level conversion on the obtained binary image, so as to change the gray level difference between adjacent pixel points, thereby achieving the purpose of enhancing or weakening the contrast of the image, or changing the gray level range of the image, and realizing the stretching or compression of the gray level range of the image;
s5, performing edge extraction on the image after gray level conversion, firstly extracting edge points reflecting gray level changes, then removing certain edge points or filling edge discontinuous points, and connecting the edges into a complete line;
and S6, finishing the images shot at the initial stage and the later stage, and calculating the change numerical values of the color, the width and the density of the initial stage and the later stage of the stretch mark according to the information parameters of the images.
6. The comprehensive striae gravidarum evaluation detector and the using method thereof according to claim 1, characterized in that: in the image binarization processing in S3, the gray value of the pixel point on the image is set to 0 or 255.
7. The comprehensive striae gravidarum evaluation detector and the using method thereof according to claim 1, characterized in that: the image edge extraction process in S5 is a process of cutting out a partial image on the basis of the captured image.
8. The comprehensive striae gravidarum evaluation detector and the using method thereof according to claim 1, characterized in that: the variation numerical calculation data in S6 is composed of the stretch mark image information parameters photographed by the same client at the early stage and the late stage.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113907717A (en) * | 2021-11-01 | 2022-01-11 | 南京工程学院 | Striae gravidarum severity evaluation method based on striae gravidarum severity objective evaluation index |
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