CN112773325B - Early warning method and system for Brazilian tortoise ophthalmia - Google Patents

Early warning method and system for Brazilian tortoise ophthalmia Download PDF

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CN112773325B
CN112773325B CN202011632901.4A CN202011632901A CN112773325B CN 112773325 B CN112773325 B CN 112773325B CN 202011632901 A CN202011632901 A CN 202011632901A CN 112773325 B CN112773325 B CN 112773325B
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CN112773325A (en
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韦惟
马茵驰
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Beijing Fisheries Research Institute (national Engineering Research Center For Freshwater Fisheries)
Beijing Municipal Research Institute of Environmental Protection
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Abstract

The application provides an early warning method and system for Brazilian tortoise ophthalmia, wherein the early warning method comprises the following steps: the miniature pressure sensor detects the pressure change of the water surface platform; calculating whether the pressure variation is larger than a set threshold value; if the pressure variation is greater than or equal to a set threshold, acquiring a high-definition image and a thermal infrared image; processing the high-definition image to obtain the eyeball position of the Brazilian tortoise; acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise; acquiring the eyeball temperature of the Brazilian tortoise on the thermal infrared image, and acquiring the body surface temperature of the Brazilian tortoise from the thermal infrared image; and calculating the difference between the eyeball and the body surface temperature of the Brazilian tortoise, and if the difference is greater than or equal to the early warning value, sending early warning information.

Description

Early warning method and system for Brazilian tortoise ophthalmia
Technical Field
The application relates to the technical field of Brazilian turtle breeding, in particular to an early warning method and system for Brazilian turtle ophthalmia.
Background
The Brazilian turtle ophthalmia is a common disease in the Brazilian turtle raising process, and is usually caused by bacterial infection, and when the disease is serious, the disease appears as white mucus secreted by eyeballs and even ulceration, and the disease can cause death of Brazilian turtle, has strong infectivity, is extremely easy to cause large-scale transmission, and needs timely treatment and isolation treatment. At present, the artificial breeding of the Brazil tortoise mainly depends on daily inspection of raising personnel, and the disease symptoms of the ophthalmia of the Brazil tortoise are found, such as the occurrence of turbid mucus attached to the surface of eyeballs or the positions of mouth and nose, and meanwhile, the feeding of the Brazil tortoise is weakened, the movement is slow, and the like, and according to the characteristics of experience and pathological conditions, the artificial judgment is carried out, the disease Brazil tortoise is isolated, the disease is treated by using a drug treatment means, and the serious needs to be treated by operation. However, in general, the best period for early treatment is missed by the cuisine of the cuisine, which often causes rapid deterioration and spread of the illness in a short period due to untimely treatment measures, increases treatment difficulty and causes irreversible damage to the appearance of the cuisine. Frequent detailed inspection of the tour is also impossible for the breeder, which is easy to cause the rapid worsening of the Brazilian tortoise ophthalmia and the risk of spreading infection in a large area, resulting in serious economic loss.
Disclosure of Invention
The utility model aims to provide an early warning method and system of Brazilian tortoise ophthalmia, through thermal infrared imaging appearance, industrial camera and computer vision algorithm, accurate, high-efficient acquisition Brazilian tortoise eyeball temperature to carry out the contrast analysis in its body surface temperature, make early warning to Brazilian tortoise ophthalmia through the temperature data analysis result of quantification, the pertinence has solved above-mentioned problem.
The application provides an early warning method for Brazilian tortoise ophthalmia, which comprises the following steps:
the miniature pressure sensor detects the pressure change of the water surface platform;
calculating whether the pressure variation is larger than a set threshold value;
if the pressure variation is greater than or equal to a set threshold, acquiring a high-definition image and a thermal infrared image;
processing the high-definition image to obtain the eyeball position of the Brazilian tortoise;
acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise;
acquiring the eyeball temperature of the Brazilian tortoise on the thermal infrared image, and acquiring the body surface temperature of the Brazilian tortoise from the thermal infrared image;
and calculating the difference between the eyeball and the body surface temperature of the Brazilian tortoise, and if the difference is greater than or equal to the early warning value, sending early warning information.
The early warning method for the cuisine of the cuisine, wherein, preferably, the high-definition image is processed to obtain the eyeball position of the cuisine, comprising the following steps:
acquiring pixel positions of overlapping points of four position control points and four vertexes of a water surface platform by adopting a gray threshold segmentation algorithm based on a computer vision algorithm, and automatically cutting an original high-definition digital image by using a square area formed by clockwise connection of the four pixel positions to acquire a high-definition digital image of a target area;
the position of the eyeball of the Brazil tortoise is obtained from the high-definition image of the target region.
The early warning method of the cuisine of the Brazilian turtle as described above, wherein it is preferable that the obtaining of the position of the eyeball of the Brazilian turtle from the high-definition image of the target area comprises:
determining the position of a Brazil tortoise mouth through a gray threshold segmentation algorithm based on a computer vision algorithm, extending search contour points to two sides through mouth fixed points, determining the pixel position of the Brazil tortoise head contour on a high-definition digital image, and extracting the pixel position of the eyeball of the Brazil tortoise based on the gray threshold segmentation algorithm within the range of the head contour;
respectively calculating the distances between the pixel positions of the four position control points and the pixel positions of the eyeballs;
the early warning method of the cuvettes' eye inflammation as described above, wherein it is preferable that the method further comprises, before acquiring the temperature of the eyeball and the body surface temperature of the cuvettes: and dividing and cutting a square water surface platform taking four position control points as vertexes from the thermal infrared image by adopting a gray threshold segmentation algorithm to obtain the thermal infrared image of the target area.
The early warning method of the cuvettes ' eye inflammation as described above, wherein it is preferable to acquire the position of the cuvettes ' eyes on the thermal infrared image according to the position of the cuvettes ' eyes, comprises the steps of:
determining pixel positions (0, 0), (t, t), (0, t) of four control points on the target region thermal infrared image according to the pixel positions of the four control points acquired on the high-definition image;
according to the distance L between the pixel positions of the four position control points acquired on the high-definition image and the pixel positions of the eyeballs p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 The method comprises the steps of carrying out a first treatment on the surface of the Determining the distance D between the pixel positions of four position control points on the thermal infrared image of the target area and the pixel positions of the eyeball r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 ；
Determining pixel positions (n 1x, n1 y), (n 2x, n2 y) of the eyeball on the target region thermal infrared image according to the pixel positions of the four control points on the target region thermal infrared image and the distances between the pixel positions of the four control points on the target region thermal infrared image and the pixel positions of the eyeball;
wherein,,
L p1e1 ＝D r1n1
L p1e2 ＝D r1n2
L p2e1 ＝D r2n1
L p2e2 ＝D r2n2
L p3e1 ＝D r3n1
L p3e2 ＝D r3n2
L p4e1 ＝D r4n1
L p4e2 ＝D r4n2
wherein L is p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 The distances between the pixel positions and the two eyeball positions of the four position control points p1, p2, p3 and p4 on the high-definition image are respectively (n 1x, n1 y) and (n 2x, n2 y), and the coordinates of the two eyeballs n1 and n2 of the Brazilian tortoise on the thermal infrared image of the target area are respectively; d (D) r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 The distances between two eyeballs n1 and n2 of the Brazilian tortoise and four control points r1, r2, r3 and r4 on the thermal infrared image of the target area are respectively.
In the early warning method for the tracheitis of the Brazilian tortoise as described above, it is preferable that after obtaining the pixel positions of the eyeballs n1 and n2 of the Brazilian tortoise, the pixel position of the midpoint m of the connecting line segment between the two points n1 and n2 is calculated, and the midpoint m is used as the extraction point of the body surface temperature of the neck of the Brazilian tortoise.
In the early warning method of the above-described cuvettes, it is preferable that the warning value of the cuvettes eyeball temperature and the head and neck body surface temperature is set to 0.2.
In the early warning method for the cuvettes, preferably, the eyeball temperature of the cuvettes is marked as T1 and T2, the body surface temperature of the neck of the cuvettes is marked as T3, and when T1-T3 is less than 0.2 or T2-T3 is less than 0.2, the cuvettes are judged to have no risk of infecting pathogenic bacteria of the cuvettes; when T1-T3 is more than or equal to 0.2 or T2-T3 is more than or equal to 0.2, judging that the Brazilian turtle has extremely high risk of infecting ophthalmia pathogenic bacteria; if the early warning analysis judges that the risk of the Brazilian turtle infected with the ophthalmia pathogenic bacteria is extremely high, the early warning information is pushed to the user smart phone client APP, so that the user is reminded to check on site in time and take corresponding isolation and treatment measures.
An early warning system for cuvettes including a processor for performing the early warning method for cuvettes of any one of claims 1 to 9.
The early warning system for the Brazilian turtle eye inflammation, as described above, preferably further comprises a WIFI module, wherein the WIFI module is used for sending early warning information of the Brazilian turtle eye inflammation to the user smart phone client.
According to the early warning method and system for the Brazilian turtle ophthalmia, the early warning of the Brazilian turtle ophthalmia is realized through the accurate difference analysis of the temperature of the eyeball and the surface temperature of the head and neck, and the problems of pathogen diffusion and serious symptom post treatment difficulty caused by unobvious early symptoms and missing early isolation and treatment are avoided; through on-line thermal infrared imaging and high-definition digital imaging technology, the Brazilian tortoise eyeballs are accurately positioned by utilizing an intelligent computer vision algorithm, accurate temperature difference data are obtained, real-time and accurate early warning of Brazilian tortoise ophthalmia is realized, and the defects that manual inspection is dependent on experience judgment, high in randomness, untimely, easy to overlook and high in workload are overcome.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will briefly introduce the drawings that are required to be used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may also be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a schematic workflow diagram of an early warning method of Brazilian turtle eye inflammation according to the present invention;
FIG. 2 is a schematic diagram of the early warning system of the present invention;
FIG. 3 is a top view of the water surface platform of the present invention;
FIG. 4 is a cross-sectional view of the water surface platform of the present invention;
FIG. 5 is a schematic diagram of an acquired image cropping method of the present invention;
fig. 6 is a schematic diagram of a method for calculating the distance between four control points and the eyeball of Brazilian tortoise according to the invention.
Detailed Description
The following description of the embodiments of the present application, taken in conjunction with the accompanying drawings, clearly and completely describes the technical solutions of the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; may be a mechanical connection; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Furthermore, the following description of the embodiments refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. Directional terms, such as "upper", "lower", "front", "rear", "left", "right", "inner", "outer", "side", etc., in the present invention are merely referring to the directions of the attached drawings, and thus, directional terms are used for better, more clear explanation and understanding of the present invention, rather than indicating or implying that the apparatus or element being referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Tortoise is a temperature-changing animal whose body temperature generally changes as the surrounding environment changes. The domestic Brazil tortoise is usually raised as a semi-hydrated tortoise, and can climb up on a manually built platform in a raising tank for rest, eating or back drying at random. The normal Brazil tortoise has black and bright eyeballs, and the surface temperature of the eyeballs is almost the same as the surface temperature. A strain is extracted from naturally-occurring Brazilian tortoise eyeballs, a gram-negative bacterium is separated, amplified and cultured, and then 10 bacteria are inoculated to detect normal Brazilian tortoise eyeballs. Meanwhile, another 10 bacteria were normally bred to detect normal Brazil tortoise in the same room temperature environment (27 ℃). The temperature of the 20 Brazilian tortoise eyeballs and the head and neck body surface is measured at fixed time by using an infrared temperature measuring gun, and the temperature measurement results are continuously carried out for 3 days from the next day, wherein the difference between the eyeball temperature of the 10 Brazilian tortoise with bacteria infection and the temperature of the head and neck body surface (> 0.2 ℃) is obviously higher than the temperature difference between the normal Brazilian tortoise with bacteria not infected (< 0.1 ℃) and at the moment, the disease symptoms of the ophthalmia of the 10 Brazilian tortoise with bacteria infection do not appear, and the infected ophthalmia pathogenic bacteria cannot be found in early stage by visual observation. In addition, 10 infectious pathogenic bacteria are obtained in a farm sample, and the temperature difference of the eyeball temperature and the head and neck body surface temperature of the Brazilian tortoise sample with slight ophthalmia symptoms is acquired for comparison by observing the Brazilian tortoise sample, wherein the temperature difference is also more than 0.2 ℃, so that the conclusion obtained by a comparison experiment is verified. For this phenomenon, analysis has been thought to be mainly caused by several factors, including normal inflammatory response at the site of bacterial infection; after the Brazilian turtle infects the pathogenic bacteria of ophthalmitis, physical changes such as increased secretion on the eyeball surface, thickened mucous membrane and the like can occur. These factors cause slight differences in the thermal radiation of the eye of the Brazilian tortoise and other normal locations on the body surface, resulting in differences in the thermal infrared detected temperature data.
Based on the above experiment and sampling results, the change monitoring of the eyeball temperature of the Brazilian tortoise and the surface temperature difference of the head and neck can be used for early warning whether the Brazilian tortoise infects ophthalmia pathogenic bacteria or not, prompting the user to manually check and early make isolation and treatment work, and avoiding illness delay and infection transmission.
The thermal infrared imaging technology can perform real-time temperature monitoring on the local position of the observation target, but as the thermal infrared band is difficult to provide clear structural characteristics of the observation target, temperature data of the fine characteristics of the observation target (such as Brazilian tortoise eyeballs aimed at by the invention) cannot be accurately captured. The high-definition industrial camera has unique technical advantages in the aspect of biological target feature monitoring, the high-definition industrial camera and the thermal infrared imager are used for combined synchronous observation, a thermal infrared image and a high-definition digital image of the Brazilian tortoise are synchronously obtained, and the accurate matching of the eyeball features of the Brazilian tortoise on the double images is performed by utilizing a computer vision technology, so that the eyeball temperature of the Brazilian tortoise and the surface temperature of the head and neck are accurately obtained. Therefore, the application purpose achieved by the invention is realized through the change monitoring of the temperature difference of the two.
As shown in FIG. 2, the invention obtains a high-definition digital image of a water surface platform through a high-definition industrial camera, obtains a thermal infrared image through a thermal infrared imager, and receives the digital image and the thermal infrared image through a software workstation computer.
As shown in FIG. 1, the early warning method of the Brazilian tortoise ophthalmia comprises the following steps:
step 110: the pressure change is monitored.
The software workstation computer receives the pressure change signal of the water surface platform transmitted by the miniature pressure sensor in real time.
Step 120: it is determined whether the amount of pressure change is greater than a threshold.
Firstly, calculating the pressure variation, and when the pressure variation is larger than a set threshold value, judging that the Brazilian tortoise climbs the water surface platform by the software monitoring platform, and executing the step 130; otherwise, judging that the pressure is slightly changed due to the movement of the Brazilian tortoise on the current platform.
Step 130: and triggering the high-definition industrial camera and the thermal infrared imager to acquire the high-definition image and the thermal infrared image.
And when the judgment result shows that the Brazilian tortoise climbs the water surface platform, the software monitoring platform synchronously triggers the acquisition of the thermal infrared image and the high-definition digital image.
Step 140: and processing the high-definition image to obtain the eyeball position of the Brazilian tortoise.
On the acquired high-definition digital image, the water surface and other backgrounds are arranged outside the range of the water surface platform, the water surface platform is a white square surface, four vertexes are formed by four black square position control points, the pixel positions of the overlapping points of the four position control points and the four vertexes of the water surface platform can be accurately acquired through an image gray threshold segmentation algorithm, and a square area formed by clockwise connection of the four pixel positions is used for automatically cutting an original high-definition digital image to obtain the high-definition digital image of a target area, as shown in fig. 5.
The gray threshold segmentation algorithm based on the computer vision algorithm is used, the bache contour curve is extracted on the high-definition numerical image, all contour points are traversed, the distance between the contour points is calculated pair by pair, a pair of contour points with the largest distance is found, one of the two points is a Brazilian tortoise mouth contour vertex, the included angle formed by connecting the two points with adjacent contour points on two sides of the Brazilian tortoise head is calculated respectively due to the obvious triangle characteristic of the Brazilian tortoise head, the threshold range of the included angle is set to be 30-90 degrees, and when the included angle is within the threshold range, the point is judged to be the Brazilian tortoise mouth contour vertex s.
The pixel positions of the balanus outline on the high-definition digital image are determined by extending the mouth fixed point to two sides to search outline points, the pixel positions (e 1 and e 2) of the black eyeballs of the balanus are extracted from the head image with yellow and green phases based on a gray threshold segmentation algorithm in the range of the head outline, and the distances (L p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 )。
The situation that one eyeball is not acquired on the image due to the twisting of the glans of Brazil can occur, and at this time, only the pixel position of a single eyeball needs to be acquired, and the distance between the pixel position and the pixel position of four position control points is calculated.
S150: and acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise.
Because of the large heat radiation difference between the water body and the glass, the temperature of the water body cortex in the culture cylinder and the surface temperature of the water surface platform can be obviously different, and the designed water surface platform device has large size on the image, the square water surface platform with four position control points 14 as vertexes can be segmented and cut out from the thermal infrared image through a gray threshold segmentation algorithm of a computer vision algorithm, and the thermal infrared image and the temperature data of a target area are obtained.
Acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise, comprising the following steps:
determining pixel positions (0, 0), (t, t), (0, t) of four control points on the target region thermal infrared image according to the pixel positions of the four control points acquired on the high-definition image;
according to the distance L between the pixel positions of the four position control points acquired on the high-definition image and the pixel positions of the eyeballs p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 The method comprises the steps of carrying out a first treatment on the surface of the Determining the distance D between the pixel positions of four position control points on the thermal infrared image of the target area and the pixel positions of the eyeball r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 ；
And determining the pixel positions (n 1x, n1 y), (n 2x, n2 y) of the eyeball on the target region thermal infrared image according to the pixel positions of the four control points on the target region thermal infrared image and the distances between the pixel positions of the four control points on the target region thermal infrared image and the pixel positions of the eyeball.
Assuming that the position control point 1 (r 1) coordinates are (0, 0), the position control point 2 (r 2) coordinates are (t, 0), the position control point 3 (r 3) coordinates are (t, t), and the position control point 4 (r 4) coordinates are (0, t). Two eyeballs n1 and n2 of the Brazilian tortoise are respectively (n 1x, n1 y) and (n 2x, n2 y), and the distances between the two eyeballs and four position control points are respectively D r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 Then, the first and second data are obtained,
because the imaging distance, focal length and imaging size of the high-definition industrial digital camera and the thermal infrared imaging instrument of the observation system designed by the invention are all set to be the same, and the two imaging devices are closely arranged and shoot the orthographic image vertically downwards without image distortion, the size of the target area participating in image calculation is the same, and the distances between the Brazilian tortoise eyeballs and four position control points are also respectively the same on the high-definition digital image and the thermal infrared image, namely,
L p1e1 ＝D r1n1 ，
L p1e2 ＝D r1n2 ，
L p2e1 ＝D r2n1 ，
L p2e2 ＝D r2n2 ，
L p3e1 ＝D r3n1 ，
L p3e2 ＝D r3n2 ，
L p4e1 ＝D r4n1 ，
L p4e2 ＝D r4n2 。
through the above 8 equations, the pixel positions of the two eyeballs n1 and n2 of the Brazilian tortoise on the thermal infrared image can be accurately calculated.
Step 160: acquiring eyeball temperature and body surface temperature of the Brazilian tortoise;
when the pixel positions of the two eyeballs e1 and e2 are calculated on the high-definition digital image, the pixel positions of the two eyeballs n1 and n2 can be correspondingly calculated on the thermal infrared image, and at the moment, the pixel position of the midpoint m of the connecting line segment of the two points n1 and n2 is calculated and used as the extraction point of the surface temperature of the neck of the Brazil glans. Taking eyeball n1 point temperature data T1, eyeball n2 point temperature data T2 and midpoint m temperature data T3.
For example, when a pixel position of an eyeball e1 is calculated on a high-definition digital image, a pixel position of an eyeball n1 may be correspondingly calculated on a thermal infrared image. The intersection point of the bisector of the connecting line segment of the apexes s and n1 of the profile of the Brazilian turtle mouth and the profile line of the head is taken as the approximate pixel position a of the eyeball which is not collected. At this time, the pixel position of the midpoint m of the line segment connecting the points a and n1 is calculated as the gracilis neck body surface temperature extraction point. The eyeball n1 point temperature data T1 and the midpoint m temperature data T3 are taken.
Step 170: judging whether the temperature difference between two eyeballs of the Brazilian tortoise and the body surface is more than or equal to 0.2;
and calculating the difference between the eyeball temperature of the Brazilian tortoise and the surface temperature of the head and neck, comparing the difference with a set early warning difference (0.2), and making early warning analysis. When |t1-t3| > =0.2 or |t2-t3| > =0.2, it is determined that the risk of the cuisine of the ophthalmopathy is extremely high, and step 180 is performed. Otherwise, the early warning information is not sent.
Step 180: sending early warning information to a user smart phone APP through a WIFI module;
the early warning information is pushed to the user smart phone client APP through the software workstation computer, so that the user is reminded to check and take corresponding isolation and treatment measures on site in time.
The invention also provides an early warning system for the Brazilian tortoise ophthalmia, as shown in figures 2-4, comprising: the system comprises a software workstation computer 1, a hardware monitoring platform, a high-definition industrial camera 2, a thermal infrared imager 3 and a smart phone client 4; the software computer 1 comprises a processor, wherein the processor comprises a software monitoring platform, a WIFI hotspot module, an image processing module and an image shooting synchronous triggering module; the monitoring result is sent outwards through the WIFI hotspot module; the hardware monitoring platform comprises an LED illuminating lamp 5, a culture cylinder 6, a slope 7 and a water surface platform 8, wherein the LED illuminating lamp 5 is arranged above the culture cylinder 6 and used for illuminating the water surface platform 8; the slope 7 is arranged at the bottom of the culture cylinder 6, one end of the slope 7 is connected with the water surface platform 8, and the slope 7 extends to the upper surface of the water surface platform 8; the water surface platform 8 is a square platform and is arranged at the edge of the culture cylinder 6, and the upper surface of the water surface platform 8 is higher than the water surface; the high-definition industrial camera 2 is connected with the software workstation computer 1 through a signal line 9 to transmit high-definition digital images; the thermal infrared imager 3 is connected with the software workstation computer 1 through a signal line 9 and transmits thermal infrared images in real time.
As shown in fig. 4, the water surface platform includes: a miniature pressure sensor 10, an upper transparent glass 11, a lower transparent glass 12, an image registration plate 13 and a signal line 9; the upper transparent glass layer and the lower transparent glass layer are square glass plates with certain thickness and are identical in shape and size, a space with a certain distance is formed between the upper transparent glass layer and the lower transparent glass layer, an image registration plate 13 is arranged in the space in a manner of being clung to the upper transparent glass layer 11, a miniature pressure sensor 10 is arranged between the image registration plate 13 and the lower transparent glass layer 12, the miniature pressure sensor 10 is arranged in the middle of the water surface platform 8 and is tightly attached to the upper transparent glass plate, the lower transparent glass plate and the image registration plate 13, and the peripheries of the upper transparent glass plate and the lower transparent glass plate are sealed by sealant.
The image registration plate 13 is a square paperboard, the shape and the size of the image registration plate are the same as those of the upper transparent glass plate and the lower transparent glass plate, four corners of the image registration plate 13 are position control points 14, the position control points 14 are black square patterns, and the sizes of the four position control points 14 are equal.
The high-definition industrial camera 2 and the thermal infrared imager 3 are used for a user to acquire a Brazilian tortoise high-definition digital image and a Brazilian tortoise thermal infrared image; the image registration plate 13 is used for registering the high-definition digital image and the thermal infrared image, so as to position the eyeball of the Brazilian tortoise on the thermal infrared image and extract the eyeball temperature and the body temperature; the miniature pressure sensor 10 is used for sensing that the Brazilian tortoise climbs the water surface platform 8, entering a shooting view field, sending a sensing signal to the software workstation computer 1, and further triggering the high-definition industrial camera 2 and the thermal infrared imager 3 to shoot Brazilian tortoise images through software synchronization; the software workstation computer 1 is used for running an early warning software platform (comprising an image processing module and an image shooting synchronous triggering module) for the early warning of the Brazilian tortoise ophthalmia and pushing warning information to a smart phone client 4 in a local area network through a WIFI hotspot module; the software detection platform is a Brazilian tortoise ophthalmia early warning software platform based on a computer vision algorithm, realizes synchronous acquisition, processing and analysis of high-definition digital image and thermal infrared image data, and generates and sends out early warning information.
The traditional Brazilian turtle breeding jar needs shallow water which can be used for overflowing the tortoise back at the bottom of the jar, and meanwhile, a water surface platform is required to be arranged for the Brazilian turtle to rest, shine the back and other physiological activities, and a slope step for the Brazilian turtle to climb up the platform from underwater is required to be arranged. In order to provide enough brightness for image acquisition at night and when the optical fiber is insufficient, and meanwhile, the living environment of the Brazilian tortoise cannot be influenced, the hardware monitoring platform is provided with a cold light LED illuminating lamp 5. The invention provides a double-layer transparent glass structure platform, an image registration plate 13 is used between two layers of glass, a miniature pressure sensor 10 is placed between the two layers of glass, four edges of the two layers of glass are sealed by sealing glue, a sensor signal wire 9 extends out of a culture cylinder and is connected to a software workstation computer 1 through a computer serial port, and meanwhile, four black square points are marked at four corners of the surface of the upper layer of glass and serve as position control points 14 for image analysis by a later computer vision algorithm. When Brazilian tortoise climbs the water surface platform, the miniature pressure sensor 10 transmits a pressure change signal to the connected software workstation computer 1 through a signal line 9.
The thermal infrared imager 3 and the high-definition industrial camera 2 are fixed by using a tripod with an adjustable imaging plane posture, an imaging picture is adjusted to be shot vertically downwards, an orthophoto is obtained, and the whole water surface platform 8 can be completely covered, and the thermal infrared imaging camera comprises four square position control points 14.
Because the highest imaging resolution of the thermal infrared imager is 1280 x 1024, in order to be accurately registered with the high-definition digital image, an industrial camera with the same imaging resolution is selected, the thermal infrared imager 3 and the high-definition industrial camera 2 are set to the same imaging distance through a fixed-focus lens, the two phases are arranged through a three-dimensional adjustment tripod, all the orthographic images of the water surface platform 8 are vertically and downwards collected, and the 4 position control points 14 of the water surface platform are all collected into the thermal infrared image and the digital high-definition image.
The RJ45 high-speed Ethernet interface of the thermal infrared imager 3 is connected with the RJ45 high-speed Ethernet interface of the software workstation computer 1 through the signal line 9, so that the thermal infrared imager 3 transmits thermal infrared images to the software workstation computer 1 at high speed in real time.
The RJ45 high-speed Ethernet interface of the high-definition industrial camera 2 is connected with the RJ45 high-speed Ethernet interface of the software workstation computer 1 through a signal wire, so that the high-speed real-time transmission of high-definition digital images from the high-definition industrial camera 2 to the software workstation computer 1 is realized.
The software workstation computer 1 receives images from the thermal infrared imager 3 and the high-definition digital camera 2 in real time, and receives a pressure change signal of the water surface platform 8 transmitted by the micro pressure sensor 10, when the pressure change signal is received, firstly judging the pressure change amount, when the pressure change amount is larger than a set threshold value, judging that the Brazilian tortoise climbs the water surface platform 8 by the software monitoring platform, and otherwise judging that the pressure on the current platform slightly changes due to the movement of the Brazilian tortoise. When the result is that the Brazilian tortoise climbs the water surface platform 8, the software monitoring platform synchronously triggers the acquisition of the thermal infrared image and the high-definition digital image, and inputs the two images into an image analysis algorithm program to calculate an analysis result. The software workstation computer 1 configures a WIFI hotspot module, a local area network is established, the user smart phone client 4 accesses the WIFI hotspot, and if the calculation and analysis result of the software monitoring platform is that the Brazilian turtle on the water surface platform 8 has early-stage ophthalmia danger, the software workstation computer 1 pushes early-stage early-warning prompt to the user smart phone client APP in real time to remind the user to view on site in time and take corresponding isolation and treatment measures.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (4)

1. An early warning method for the ophthalmia of Brazilian tortoise is characterized by comprising the following steps:
the miniature pressure sensor detects the pressure change of the water surface platform;
calculating whether the pressure variation is larger than a set threshold value;
if the pressure variation is greater than or equal to a set threshold, acquiring a high-definition image and a thermal infrared image;
processing the high-definition image to obtain the eyeball position of the Brazilian tortoise;
acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise;
acquiring the eyeball temperature of the Brazilian tortoise on the thermal infrared image, and acquiring the body surface temperature of the Brazilian tortoise from the thermal infrared image;
calculating the difference between the eyeball and the body surface temperature of the Brazilian tortoise, and if the difference is more than or equal to the early warning value, sending early warning information;
processing the high-definition image to obtain the eyeball position of the Brazilian tortoise, wherein the acquired high-definition digital image is provided with a water surface and other backgrounds outside the range of a water surface platform, the water surface platform is a white square surface, four vertexes are formed by four black square position control points, the pixel positions of overlapping points of the four position control points and the four vertexes of the water surface platform are obtained through an image gray threshold segmentation algorithm, and a square area formed by clockwise connection of the four pixel positions automatically cuts an original high-definition digital image to obtain the high-definition digital image of a target area;
extracting a bache contour curve on a high-definition numerical image, traversing all contour points, calculating the distance between the contour points pair by pair, finding a pair of contour points with the largest distance, respectively calculating the included angles formed by connecting the two points with adjacent contour points on two sides of the contour points, setting the threshold range of the included angles to be 30-90 degrees, judging that the points are Brazilian tortoise mouth contour vertexes s when the included angles are within the threshold range, extending the searched contour points towards two sides through the mouth vertexes s, determining the pixel positions of Brazilian tortoise head contour on the high-definition numerical image, extracting the pixel positions (e 1 and e 2) of Brazilian tortoise black eyeballs from the head image which is in yellow-green phase based on a gray threshold segmentation algorithm, and calculating the distances (Lp 1e1, lp1e2, lp2e1, lp2e2, lp3e1, lp4e 2) between the pixel positions of four position control points and the positions of the two eyeballs;
the method for obtaining the eyeball temperature and the body surface temperature of the Brazilian tortoise further comprises the following steps: dividing and cutting a square water surface platform taking four position control points as vertexes from the thermal infrared image by adopting a gray threshold segmentation algorithm to obtain a target region thermal infrared image;
acquiring the eyeball position of the Brazilian tortoise on the thermal infrared image according to the eyeball position of the Brazilian tortoise, wherein the method comprises the following steps:
determining pixel positions (0, 0), (t, t), (0, t) of four control points on the target region thermal infrared image according to the pixel positions of the four control points acquired on the high-definition image;
according to the distance L between the pixel positions of the four position control points acquired on the high-definition image and the pixel positions of the eyeballs p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 The method comprises the steps of carrying out a first treatment on the surface of the Determining the distance D between the pixel positions of four position control points on the thermal infrared image of the target area and the pixel positions of the eyeball r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 ；
Determining pixel positions (n 1x, n1 y), (n 2x, n2 y) of the eyeball on the target region thermal infrared image according to the pixel positions of the four control points on the target region thermal infrared image and the distances between the pixel positions of the four control points on the target region thermal infrared image and the pixel positions of the eyeball;
wherein,,
L p1e1 ＝D r1n1
L p1e2 ＝D r1n2
L p2e1 ＝D r2n1
L p2e2 ＝D r2n2
L p3e1 ＝D r3n1
L p3e2 ＝D r3n2
L p4e1 ＝D r4n1
L p4e2 ＝D r4n2
wherein L is p1e1 、L p1e2 、L p2e1 、L p2e2 、L p3e1 、L p3e2 、L p4e1 、L p4e2 The distances between the pixel positions and the two eyeball positions of the four position control points p1, p2, p3 and p4 on the high-definition image are respectively (n 1x, n1 y) and (n 2x, n2 y), and the coordinates of the two eyeballs n1 and n2 of the Brazilian tortoise on the thermal infrared image of the target area are respectively; d (D) r1n1 、D r1n2 、D r2n1 、D r2n2 、D r3n1 、D r3n2 、D r4n1 、D r4n2 Respectively the target areasThe distance between two eyeballs n1 and n2 of the Brazilian tortoise and four control points r1, r2, r3 and r4 on the thermal infrared image;
the early warning value of the eyeball temperature of the Brazilian tortoise and the surface temperature of the head and neck is set to be 0.2;
the eyeball temperature of the Brazilian tortoise is marked as T1 and T2, the body surface temperature of the neck of the Brazilian tortoise is marked as T3, and when the T1-T3 is less than 0.2 or the T2-T3 is less than 0.2, the Brazilian tortoise is judged to have no risk of infecting ophthalmia pathogenic bacteria; when T1-T3 is more than or equal to 0.2 or T2-T3 is more than or equal to 0.2, judging that the Brazilian turtle has extremely high risk of infecting ophthalmia pathogenic bacteria; if the early warning analysis judges that the risk of the Brazilian turtle infected with the ophthalmia pathogenic bacteria is extremely high, the early warning information is pushed to the user smart phone client APP, so that the user is reminded to check on site in time and take corresponding isolation and treatment measures.
2. The method of claim 1, wherein the pixel positions of n1 and n2 are obtained, and the pixel position of a midpoint m of a connecting line segment between n1 and n2 is calculated, wherein the midpoint m is used as a head and neck body surface temperature extraction point.
3. An early warning system for cuvettes 'eye inflammation, comprising a processor for executing the method for early warning for cuvettes' eye inflammation according to any one of claims 1-2.
4. The early warning system of cuisine of claim 3, further comprising a WIFI module configured to send early warning information of cuisine to a user smart phone client.
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