Goose fat liver quality control method and device based on laser speckle elastography

Abstract

The invention provides a goose fat liver quality control method and device based on laser speckle elastography, and relates to the technical field of goose fat liver quality control analysis. Exciting the goose fat liver to be detected, capturing the surface wave of the goose fat liver through the laser speckle imaging system, and calculating to obtain the propagation speed of the surface wave; calculating an elastic parameter of the goose fat liver based on the propagation speed of the surface wave; and based on the elastic parameters, carrying out texture grading on the to-be-detected goose fat liver. According to the method provided by the invention, the goose fat liver is detected by laser speckle imaging, so that the detection cost is saved, the method is isolated from the production environment, and the possibility of food pollution is greatly reduced; in addition, images are collected through a laser, a camera and other devices, the goose fat liver is directly detected, meanwhile, real-time detection is conducted through an assembly line, and the reliability of goose fat liver texture grading is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of goose liver quality control analysis, and in particular relates to a goose liver quality control method and device based on laser speckle elastography. Background Art

[0002] Previously, goose foie gras was produced by force-feeding. However, using a special "high-density feed" method, naturally raised goose foie gras, is far more scientific and rational than artificial force-feeding. This specialized feed primarily increases the nutrient density of green feed, then uses goose attractants such as wheatgrass extract, salt, shrimp extract, and corn products with a vegetable flavor. Phospholipids are then used as "targeted" liver nutrients, encouraging the goose to naturally consume large amounts of food, thereby promoting rapid liver growth and development. The effect is further enhanced by the addition of liver-promoting nutrients such as specific amino acids and yeast nucleic acids. Goose foie gras is essentially a fatty liver cultivated from geese. It contains approximately 60%-70% fat, including 21%-22% palmitic acid, 1%-2% linoleic acid, 3%-5% medium-chain fatty acids and 16-undecenoic acid, 1% myristic acid, and a whopping 65%-68% unsaturated fatty acids. The quality of goose foie gras directly affects its taste and nutritional value.

[0003] The industrialization of goose foie gras in my country started late, the production technology is not mature enough, and the degree of industrialization is not high. There is still a lack of technical specifications and testing methods in breeding management, product quality control, etc., resulting in a high mortality rate, a lot of bloody liver, and poor product quality in the production process of goose foie gras. There is also no clear regulation on the production of goose foie gras, making it difficult for my country's goose foie gras to enter the international market, which seriously restricts the sustainable development of the goose foie gras industry.

[0004] The causes of goose foie gras are similar to those of human fatty liver, so it is feasible to apply the human fatty liver measurement method to goose foie gras detection. Biological tissue elasticity measurement reflects the mechanical properties of biological tissue by measuring the strain of biological tissue under stress, where stress is applied to the sample being measured through an external excitation device. Strain-related parameters can be measured using ultrasonic elastography, a typical application of which is ultrasonic shear wave elastography. Existing acoustic radiation force ultrasonic elastography methods use multi-channel ultrasonic excitation and detection. This requires detecting the propagation of shear waves in the imaging plane and calculating the propagation velocity of the shear waves. However, due to the high propagation velocity of tissue shear waves, the ultrasound imaging system needs to acquire frames at a high rate, reaching 10,000 frames per second, which poses a great challenge to the ultrasound imaging system. The English literature "Multiparametric in vivo ultrasound shear wave viscoelastography on farm-raised fatty duck livers: human radiology imaging applied to food sciences" and "IN VIVO ULTRAFASTQUANTITATIVE ULTRASOUND AND SHEAR WAVE ELASTOGRAPHY IMAGING ON FARM-RAISEDDUCK LIVERS DURING FORCE FEEDING" reports scientific research on the use of ultrasound elastography to measure the elasticity of goose fatty duck livers, verifying the feasibility of using clinical ultrasound elastography for goose fatty duck liver detection. However, the disadvantage is that the ultrasound shear wave imaging equipment used in clinical practice is high-end medical equipment, which is expensive and has a relatively harsh operating environment. At the same time, the ultrasound probe needs to be coated with a coupling agent to ensure good acoustic coupling between the goose fatty duck liver, which can easily cause food contamination. Summary of the Invention

[0005] The purpose of the present invention is to address the problems existing in the prior art and provide a goose liver quality control method and device based on laser speckle elastic imaging. The method and device can not only use low-cost laser speckle imaging to non-contactly measure the relevant information of goose liver, but also can be installed on the production line for real-time detection, timely identify and record the elastic parameters of goose liver, reduce human errors, and improve the reliability of goose liver texture grading.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A goose liver quality control method based on laser speckle elastography comprises the following steps:

[0008] Obtaining goose foie gras to be tested;

[0009] The goose foie gras to be tested is subjected to excitation processing, the surface wave of the goose foie gras formed by the excitation processing is captured by a laser speckle imaging system, and the propagation velocity of the surface wave is calculated based on the captured surface wave image;

[0010] Based on the calculated propagation velocity of the surface wave of the goose liver, the elastic parameters of the goose liver are calculated;

[0011] Based on the calculated elastic parameters, the texture of the goose liver to be tested was graded.

[0012] Furthermore, the stimulation treatment of the goose liver to be tested includes:

[0013] Use mechanical vibration, laser or airflow as the excitation signal and determine the corresponding parameters;

[0014] The excitation signal is applied to the goose liver to be detected using an excitation device to perform excitation processing.

[0015] Furthermore, the method of capturing the surface wave of the goose liver formed by the excitation process by the laser speckle imaging system and calculating the propagation velocity of the surface wave based on the captured surface wave image includes:

[0016] A camera is used to collect multi-frame laser speckle images of the surface waves of goose liver;

[0017] The collected multi-frame laser speckle images are processed to obtain the propagation velocity of the surface wave of the goose liver.

[0018] Furthermore, the processing of the collected multiple frames of laser speckle images includes:

[0019] Constructing a two-dimensional laser speckle image with each pixel of each frame of laser speckle image;

[0020] Acquire a two-dimensional spatial speckle image of each frame of laser speckle image, construct a three-dimensional spatial laser speckle image, and obtain the spatiotemporal distribution of the laser speckle image;

[0021] Based on the spatiotemporal distribution of the laser speckle image, obtaining particle vibration velocity data caused by the surface wave of the goose liver;

[0022] The acquisition time of each frame of laser speckle image is collected and combined with the particle vibration velocity data to calculate the propagation velocity of the surface wave.

[0023] Furthermore, the elastic parameters of the goose liver are calculated based on the calculated propagation velocity of the surface wave of the goose liver, including:

[0024] Based on the propagation velocity data of the surface wave of the goose foie gras, calculating the change of the elastic physical quantity of the goose foie gras after excitation with the frequency;

[0025] Based on the propagation velocity data of the surface wave of the goose foie gras, the elastic spatial distribution of the goose foie gras after excitation is calculated.

[0026] Furthermore, the texture grading of the goose liver after the stimulation treatment based on the result obtained by calculating the elastic parameters includes:

[0027] Based on the results of elasticity parameter calculation, the evaluation model is determined using multi-factor variance analysis;

[0028] Based on the evaluation model, a comprehensive score is given to the stimulated goose foie gras;

[0029] The texture of the stimulated goose liver is graded according to the comprehensive score.

[0030] Furthermore, the laser speckle imaging includes reflective imaging and transmissive imaging. The reflective imaging is used to obtain the morphology and structural information of the surface of the goose liver, and the transmissive imaging is used to obtain the characteristics and structure of the interior of the goose liver.

[0031] A goose liver quality control device based on laser speckle elastography, comprising:

[0032] A pulse gas excitation device is used to excite the goose liver to be tested;

[0033] Laser speckle imaging system, used to capture the surface wave image formed by the excitation process and calculate the surface wave propagation velocity;

[0034] an elastic parameter calculation module, used for calculating the elastic parameters of the goose liver based on the calculated propagation velocity of the surface wave of the goose liver;

[0035] The texture grading module is used to grade the texture of the goose foie gras to be tested based on the calculated elasticity parameters.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention proposes a goose liver quality control method and device based on laser speckle elastography. The laser speckle imaging system is used to capture the surface waves of the goose liver formed by the excitation process. This not only saves detection costs but also isolates the device from the production environment, greatly reducing the possibility of food contamination.

[0038] 2. The present invention proposes a goose liver quality control method and device based on laser speckle elastography. By irradiating the surface of the goose liver with a laser and collecting multiple frames of laser speckle images with a camera, direct detection of the goose liver can be achieved, avoiding the process of preparing goose liver samples. At the same time, the device can be installed on the production line for real-time detection, which not only improves the reliability of goose liver texture grading but also saves time and cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 A schematic flow chart of a goose liver quality control method based on laser speckle elastography provided in an embodiment of the present invention;

[0041] Figure 2 A structural diagram of a reflective laser speckle imaging system for a goose liver quality control method based on laser speckle elastography provided in an embodiment of the present invention;

[0042] Figure 3 A distribution diagram of laser speckle contrast ratio values ​​in a goose liver quality control method based on laser speckle elastography provided by an embodiment of the present invention;

[0043] Figure 4 A diagram showing the process of surface wave propagation over time acquired by a laser speckle system in a goose liver quality control method based on laser speckle elastography provided by an embodiment of the present invention;

[0044] Figure 5 A diagram showing the calculation process of surface wave propagation velocity in a goose liver quality control method based on laser speckle elastography provided by an embodiment of the present invention;

[0045] Figure 6 This is a structural diagram of a perspective laser speckle imaging system for a goose liver quality control method based on laser speckle elastography provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0047] like Figure 1As shown, an embodiment of the present invention provides a goose foie gras quality control method based on laser speckle elastic imaging, comprising: obtaining goose foie gras to be tested; performing excitation processing on the goose foie gras to be tested, capturing the surface waves of the goose foie gras formed by the excitation processing by a laser speckle imaging system, and calculating the propagation velocity of the surface wave based on the captured surface wave image; calculating the elastic parameters of the goose foie gras based on the calculated propagation velocity of the goose foie gras; and performing texture grading on the goose foie gras to be tested based on the calculated elastic parameters.

[0048] Specifically, the excitation process for the goose liver to be tested includes the following steps: First, select the appropriate excitation signal type, which mainly includes mechanical vibration, laser excitation, or airflow excitation. For mechanical vibration, a piezoelectric actuator or electric vibrator can be used, and the appropriate frequency and amplitude can be set to ensure sufficient vibration fluctuations. Laser excitation uses a pulsed laser to emit an instantaneous high-energy laser beam, generating a thermal expansion effect, thereby exciting surface waves. Airflow excitation uses a high-pressure airflow device to emit a high-speed airflow through a nozzle. This non-contact method helps reduce the physical impact on the sample. When determining the parameters of the excitation signal, the excitation frequency, amplitude, and duration must be comprehensively considered to ensure the optimal excitation effect. Subsequently, the selected excitation signal is applied to the goose liver to be tested using the excitation device. When applying the excitation signal, ensure the normal operation of the equipment and the stability of the parameters to produce a consistent fluctuation response, ultimately effectively stimulating the goose liver and generating the desired fluctuation characteristics.

[0049] Specifically, a laser speckle imaging system is used to capture the surface waves of goose liver generated by the excitation process. The system then calculates the displacement and propagation velocity of the surface waves based on the captured surface wave images. The system includes the following steps: First, a laser beam is emitted from a laser and irradiated onto the surface of the excited goose liver. This laser beam, combined with tiny irregularities on the surface, forms a speckle pattern. As the excitation signal is applied, the surface waves propagate, and the vibration of the material particles causes the laser speckle pattern to change, forming a dynamic spatiotemporal distribution. Next, a camera is used to capture multiple frames of laser speckle images. During the excitation process, the camera continuously captures multiple images, each corresponding to the speckle pattern at a specific time point. These images record the transient behavior of the surface waves after excitation. The captured multiple frames of laser speckle images are then processed to calculate the speckle contrast ratio (SCR). This SCR ratio measures the spatiotemporal variation of the speckle pattern and reflects the particle vibration velocity. The spatiotemporal distribution of the SCR ratio is then used to derive the surface wave propagation velocity. This step not only improves detection accuracy but also provides insights into the dynamic response of goose liver under excitation.

[0050] Specifically, the collected multi-frame laser speckle images are processed, including:

[0051] Constructing a two-dimensional laser speckle image with each pixel of each frame of laser speckle image;

[0052] Acquire a two-dimensional spatial speckle image of each frame of laser speckle image, construct a three-dimensional spatial laser speckle image, and obtain the spatiotemporal distribution of the laser speckle image;

[0053] Based on the spatiotemporal distribution of the laser speckle image, the vibration motion of the particle caused by the surface wave of the goose liver is obtained;

[0054] The acquisition time of each frame of laser speckle image is collected, and combined with the vibration motion data of the particle, the propagation velocity of the surface wave is calculated.

[0055] Specifically, based on the calculated propagation velocity of the surface wave of the goose liver, the elastic parameters of the goose liver are calculated, including:

[0056] Based on the particle vibration data of the surface wave of the goose liver, calculating the change of the elastic physical quantity of the goose liver after excitation with frequency;

[0057] Based on the propagation velocity data of the surface wave of the goose foie gras, the elastic spatial distribution of the goose foie gras after excitation is calculated.

[0058] Specifically, based on the calculated elasticity parameters, the texture of the goose liver to be tested is graded, including:

[0059] Based on the calculated elastic parameters, the evaluation model is determined using multi-factor variance analysis;

[0060] Based on the evaluation model, a comprehensive score is given to the stimulated goose foie gras;

[0061] The texture of the stimulated goose liver is graded according to the comprehensive score.

[0062] The embodiment of the present invention also provides a principle method of a reflective laser speckle imaging system, such as Figure 2 As shown, the details are as follows:

[0063] The reflective laser speckle imaging system includes a gas storage device and a nozzle device. The gas cylinder in the gas storage device is used to store and compress gas, and the nozzle device is used to release the stored gas in a specific form onto the surface of the goose liver to be tested. The principle is as follows: the gas passes through a pipeline, and after a pressure reducing valve and an electronically controlled gas valve, a compressed high-speed airflow is ejected through a nozzle onto the surface of the goose liver, causing the surface of the goose liver to vibrate and form surface waves or other surface waves. It should be noted that this embodiment is not limited to the above-mentioned method of using high-speed airflow to generate surface waves on the surface of the goose liver to be tested. Mechanical vibration, laser, or ultrasound can also be used to stimulate the goose liver to be tested. Mechanical vibration can be achieved by using a motor to drive an actuator or a speaker to directly generate vibration on the goose liver surface, or by irradiating the goose liver surface with high-intensity laser to generate vibration, or by using focused ultrasound to generate acoustic radiation force to vibrate the goose liver. In addition, a preferred gas pressure in this embodiment is 0.1-0.6 MPa, and the pulse time is 1-10 ms.

[0064] The reflective laser speckle imaging system also includes a laser for emitting laser light onto the surface of the goose liver under test, a camera for capturing multiple frames of laser speckle images of the goose liver during surface wave propagation at a specific frame rate and exposure time, and a computer for processing the multiple frames of laser speckle images. The computer calculates the propagation velocity of the surface wave and, based on this velocity, determines parameters such as the elasticity of the goose liver. The use of laser speckle imaging and high-speed airflow for non-contact acquisition and excitation of shear waves reduces costs and isolates the inspection system from the production environment, preventing contamination of the production line. The camera in this embodiment can be a CCD (Charge Coupled Device) camera or a CMOS (Complementary Metal Oxide Semiconductor) camera. The exposure time is typically between 0.1 ms and 10 ms, and the frame rate can be set to 100 frames per second or higher.

[0065] The embodiment of the present invention further provides a method for performing computational processing on a plurality of frames of collected laser speckle images, the specific steps of which are as follows:

[0066] Acquire a laser speckle image captured by a camera, and construct a two-dimensional spatial speckle contrast image using the contrast value corresponding to each pixel of the laser speckle image frame;

[0067] Acquire a two-dimensional spatial speckle contrast image of each frame of the laser speckle image, and construct a three-dimensional spatial speckle contrast image to obtain the spatiotemporal distribution of the laser speckle contrast image;

[0068] Calculate the displacement using the speckle pattern. Take two or more frames of speckle images and calculate the cross-correlation of the speckle images in each window to obtain the speckle displacement.

[0069] Obtain a frame of laser speckle image captured by the camera, and select a spatial window of size W×W on the frame of laser speckle image. W is generally 5 or 7, and the W×W spatial window should be smaller than the frame of laser speckle image.

[0070] The W×W pixels in the spatial window form a W 2 The spatial speckle contrast ratio C in the spatial window is calculated from the pixel set of the spatial window. The calculation formula of the spatial speckle contrast ratio C is:

[0071]

[0072] Among them, W is the size of the spatial window, I i Represents the grayscale value of the i-th pixel in the W×W spatial window, For this W 2 The average grayscale value of pixels.

[0073] By sliding the spatial window, the entire frame of laser speckle image is traversed to obtain the contrast values ​​C(x,y) corresponding to all pixels, and the contrast value C(x,y) corresponding to each pixel is used as the grayscale to construct a two-dimensional spatial speckle contrast image; the contrast value C(x,y) represents the contrast value corresponding to the horizontal coordinate x pixel and the vertical coordinate y pixel on the frame of laser speckle image; the two-dimensional spatial speckle contrast image of the spatial window of each frame of laser speckle image is obtained, and a three-dimensional spatial speckle contrast image is constructed to obtain the spatiotemporal distribution C(x,y,t) of the laser speckle contrast image, where x and y represent two-dimensional space and t represents time; the spatiotemporal distribution C(x,y,t) of the laser speckle contrast image represents the contrast value corresponding to the horizontal coordinate x pixel and the vertical coordinate y pixel on the frame of laser speckle image at time t, that is, the contrast value of any pixel of each frame of laser speckle contrast image can be obtained through the spatiotemporal distribution C(x,y,t) of the laser speckle contrast image, which can describe the distribution of the laser speckle contrast value, as shown in FIG. Figure 3 shown.

[0074] The embodiment of the present invention also provides a process in which a laser speckle system acquires and obtains surface waves propagating over time, such as Figure 4 As shown, at certain locations in space, such as y = 5 cm, a spatiotemporal curve of surface wave propagation can be obtained. One axis of the curve represents space, and the other represents time. The slope of the spatiotemporal curve is the surface wave propagation velocity. The spatiotemporal distribution of the laser speckle contrast image is processed using spatial filtering and directional filtering. Specifically, the speckle contrast image is filtered in the spatial domain using a spatial smoothing filter, thereby improving the signal-to-noise ratio and facilitating the calculation of the surface wave propagation velocity. Specifically, directional filtering first transforms the spatiotemporal distribution data into the frequency domain via Fourier transform. Surface waves propagating in different directions are located in different quadrants of the frequency domain, and the data in these quadrants are then inverse Fourier transformed.

[0075] The embodiment of the present invention also provides a method for calculating elastic parameters, which is used to calculate physical quantities related to elasticity based on the displacement data calculated by the detection module, including but not limited to elasticity, maximum displacement, maximum velocity, or the change of the above quantities with frequency. The elastic parameter calculation can calculate the propagation time of the shear wave based on the relationship between the shear wave peak position and time, such as Figure 5 As shown, by determining the surface wave crest position and fitting the curve of the crest position versus time, the surface wave propagation velocity can be obtained. The slope of the line in section A is smaller than that in section B, indicating that the elasticity at section A is smaller than that at section B. The shear wave displacement and velocity fields are also processed, such as through a two-dimensional Fourier transform, to obtain the shear wave propagation velocity.

[0076] The spatial distribution of the elasticity of the goose foie gras under test is calculated based on the propagation velocity of the surface wave. In the embodiment of the present invention, the spatial distribution of the elasticity of the goose foie gras under test is the shear elastic modulus or Young's modulus of the goose foie gras under test. The shear elastic modulus of the goose foie gras under test is calculated using the following formula:

[0077]

[0078] in, is the shear elastic modulus of the tested goose liver, is the density of the tested goose foie gras, is the propagation velocity of the surface wave on the measured goose liver.

[0079] The present invention also provides a texture grading method for evaluating goose foie gras quality. Using statistical methods such as multivariate analysis of variance, a large amount of relevant data is processed and analyzed for multiple parameters of goose foie gras to determine an optimal evaluation model. The texture grade of the goose foie gras is then determined based on the score of the evaluation model. Specifically, using the binary classification of goose foie gras quality based on elasticity as an example, the data classification threshold is set at A kPa. When the measured value is <= A kPa, the goose foie gras is classified as first grade; when the measured value is >A kPa, the goose foie gras is classified as second grade.

[0080] like Figure 6 As shown, the embodiment of the present invention also provides a principle method of a transmission laser speckle imaging system, which is specifically as follows:

[0081] First, the transmission method refers to the laser projection and camera acquisition on opposite sides. The transmission laser speckle imaging system includes a gas storage device and a nozzle device. The gas cylinder in the gas storage device is used to store and compress gas, and the nozzle device is used to release the stored gas in a specific form onto the surface of the goose liver to be tested. The principle is as follows: the gas passes through a pipeline, and after a pressure reducing valve and an electronically controlled gas valve, it is ejected through a nozzle to compress the high-speed airflow onto the surface of the goose liver, causing the surface of the goose liver to vibrate and form surface waves or other surface waves. It should be noted that this embodiment is not limited to the above-mentioned method of using high-speed airflow to generate surface waves on the surface of the goose liver to be tested. Mechanical vibration, laser, or ultrasound can also be used to stimulate the goose liver to be tested. Mechanical vibration can use a motor to drive an actuator or a speaker to directly generate vibration on the goose liver surface. High-intensity laser can also be used to irradiate the goose liver surface to generate vibration, or focused ultrasound can be used to generate acoustic radiation force to vibrate the goose liver. In this embodiment, the gas pressure is 0.1-0.6 MPa, and the pulse time is 1-10 ms.

[0082] The transmissive laser speckle imaging system also includes a laser for penetrating the goose liver under test, a camera for capturing multiple frames of laser speckle images of the goose liver during surface wave propagation at a specific frame rate and exposure time, and a computer for processing the multiple frames of laser speckle images. The computer calculates the propagation velocity of the surface wave and, based on this velocity, determines parameters such as the elasticity of the goose liver. The use of laser speckle imaging and high-speed airflow for non-contact acquisition and excitation of shear waves reduces costs and isolates the inspection system from the production environment, preventing contamination of the production line. The camera in this embodiment can be a CCD (Charge Coupled Device) camera or a CMOS (Complementary Metal Oxide Semiconductor) camera. The exposure time is typically between 0.1 ms and 10 ms, and the frame rate can be set to 100 frames per second or higher.

[0083] The present invention also provides a goose liver quality control device based on laser speckle elastography. Its principle is as follows: First, a pulsed gas excitation device is used to excite the goose liver to be tested. The surface waves generated by the excitation displace on the surface of the goose liver during propagation, affecting the surface wave image. Then, the surface wave image formed by the excitation is processed using a laser speckle imaging system and the surface wave propagation velocity is calculated. Based on the calculated surface wave propagation velocity, appropriate mathematical formulas and models are selected to process the data, thereby calculating the elastic parameters of the goose liver. Finally, after calculation and analysis, the data enters the texture grading module, which performs texture grading on the goose liver based on the calculated elastic parameters to help determine the quality and degree of pathology of the goose liver. Through this series of process operations, a goose liver quality control device based on laser speckle elastography can efficiently and accurately perform comprehensive testing of goose liver, providing important data support for research and application in related fields.

[0084] Finally, it should be noted that the above specific embodiments are merely representative examples of the present invention. Obviously, the present invention is not limited to the above specific embodiments and is susceptible to numerous variations. Any simple modifications, equivalent variations, and modifications to the above specific embodiments based on the technical essence of the present invention shall be deemed to fall within the scope of protection of the present invention.

Claims

1. A method for quality control of goose liver based on laser speckle elastic imaging, characterized in that: The following steps are involved: Obtain goose foie gras to be tested; The goose liver to be tested is subjected to excitation processing, the surface wave of the goose liver formed by the excitation processing is captured by a laser speckle imaging system, and the propagation speed of the surface wave is calculated based on the captured surface wave image; Based on the calculated propagation velocity of the surface wave of the goose liver, the elastic parameters of the goose liver are calculated; Based on the calculated elastic parameters, the texture of the goose liver to be tested was graded.

2. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 1, characterized in that: The excitation treatment of the goose liver to be detected comprises: Use mechanical vibration, laser or airflow as excitation signal and determine the corresponding parameters; The excitation signal is applied to the goose foie gras to be detected for excitation processing.

3. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 1, characterized in that: The method of capturing the goose liver surface wave formed by the excitation process by the laser speckle imaging system and calculating the propagation speed of the surface wave based on the captured surface wave image includes: The camera is used to collect multi-frame laser speckle images of the surface waves of goose liver; The collected multi-frame laser speckle images are processed by calculation to obtain the propagation speed of the surface wave of the goose liver.

4. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 3, characterized in that: The processing of the collected multiple frames of laser speckle images includes: A two-dimensional laser speckle image is constructed with each pixel of each frame of the laser speckle image; Acquire a two-dimensional spatial speckle image of each frame of laser speckle image, construct a three-dimensional spatial laser speckle image, and obtain the spatiotemporal distribution of the laser speckle image; Based on the spatiotemporal distribution of the laser speckle image, obtaining particle vibration velocity data caused by the surface wave of the goose liver; The acquisition time of each frame of laser speckle image is collected, and combined with the particle vibration velocity data, the propagation velocity of the surface wave is calculated.

5. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 1, characterized in that: The method of calculating the elastic parameters of the goose liver based on the calculated displacement and propagation velocity of the surface wave of the goose liver comprises: Based on the propagation velocity data of the surface wave of the goose liver, calculating the change of the elastic physical quantity of the goose liver after excitation with the frequency; Based on the propagation velocity data of the surface wave of the goose liver, the elastic spatial distribution of the goose liver after excitation is calculated.

6. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 1, characterized in that: The texture grading of the goose liver to be tested based on the calculated elasticity parameter includes: Based on the results of elastic parameter calculation, the evaluation model is determined using multi-factor variance analysis; Based on the evaluation model, a comprehensive score is given to the stimulated goose fat liver; According to the comprehensive score, the texture of the stimulated goose fatty liver is graded.

7. The method for quality control of goose liver based on laser speckle elastic imaging according to claim 1, characterized in that: The laser speckle imaging includes reflective imaging and transmissive imaging. The reflective imaging is used to obtain the morphology and structural information of the surface of the goose liver, and the transmissive imaging is used to obtain the characteristics and structure of the inside of the object goose liver.

8. A goose liver quality control device based on laser speckle elastic imaging, characterized in that: include: A pulse gas excitation device is used to excite the goose liver to be tested; Laser speckle imaging system, used to capture the surface wave image formed by the excitation process and calculate the propagation velocity of the surface wave; An elastic parameter calculation module, used for calculating the elastic parameters of the goose liver based on the calculated propagation velocity of the surface wave of the goose liver; The texture grading module is used to grade the texture of the goose foie gras to be tested based on the calculated elastic parameters.

Images