Image-based broken fiber softened veneer manufacturing method and broken fiber softened veneer

Abstract

The embodiment of the invention provides an image-based broken fiber softened veneer manufacturing method and a broken fiber softened veneer, and relates to the technical field of image processing technologies. The method comprises the following steps: acquiring a first image of a first single board; performing first processing on the first image to obtain a defibered texture image of the first single board; and determining a single board processing strategy based on the defibered texture image. According to the invention, the problem of low image processing precision in the field of wood processing is solved, and the effect of improving the image processing precision is achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of image processing, and more particularly, to a method for manufacturing a broken fiber softening veneer based on an image and a broken fiber softening veneer. Background Art

[0002] With the continuous development of computer vision and image processing technologies, the application of image recognition and analysis in wood processing has become increasingly widespread. Image processing technologies can achieve automatic detection and analysis of wood veneers, improve the accuracy and efficiency of detection, and reduce manual intervention.

[0003] However, existing methods still have some deficiencies. For example, the accuracy and stability of existing image processing methods still need to be improved when dealing with complex wood textures and micro defects, especially in the field of eucalyptus processing.

[0004] In response to the above problems, there is currently no good solution. Summary of the Invention

[0005] The embodiments of the present invention provide a method for manufacturing a broken fiber softening veneer based on an image and a broken fiber softening veneer, so as to at least solve the problem of low image processing accuracy of wood veneers in related technologies.

[0006] According to an embodiment of the present invention, there is provided a method for manufacturing a broken fiber softening veneer based on an image, including:

[0007] Obtaining a first image of a first veneer, where the first veneer is obtained by preprocessing an initial veneer, and the first image includes a front image and a back image of the first veneer;

[0008] Performing a first processing on the first image to obtain a delaminated texture image of the first veneer, where the first processing at least includes grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, and the morphological processing includes erosion and dilation processing;

[0009] Based on the delaminated texture image, determining a veneer processing strategy, where the veneer processing strategy includes a hydrothermal strategy and a pressure strategy.

[0010] In an exemplary embodiment, the determining a veneer processing strategy based on the delaminated texture image includes:

[0011] Based on the delaminated texture image, determining first veneer parameters of the first veneer;

[0012] According to the first veneer parameters, determining the veneer processing strategy.

[0013] In an exemplary embodiment, after determining the veneer processing strategy according to the first veneer parameters, the method further includes:

[0014] Obtaining a second image of a second veneer, where the second veneer is obtained after being processed based on the veneer processing strategy;

[0015] Performing a second processing on the second image to obtain second veneer parameters, where the second processing at least includes grayscale processing, threshold segmentation processing, and morphological processing;

[0016] Determining the processing quality of the second veneer according to the second veneer parameters.

[0017] In an exemplary embodiment, after determining the processing quality of the second veneer according to the second veneer parameters, the method further includes:

[0018] When the processing quality of the second veneer meets the requirements, performing a third processing on the second veneer in sequence to obtain a target veneer, where the third processing at least includes rotary cutting processing, drying processing, dipping processing, and layup processing.

[0019] In an exemplary embodiment, before obtaining the first image of the first veneer, the method further includes:

[0020] Obtaining an initial image of the first veneer;

[0021] Performing enhancement processing on the initial image to obtain the first image.

[0022] According to another embodiment of the present invention, there is provided an image-based broken fiber softening veneer manufacturing device, including:

[0023] A first image acquisition module for obtaining a first image of a first veneer, where the first veneer is obtained after preprocessing an initial veneer, and the first image includes a front image and a back image of the first veneer;

[0024] A first processing module for performing a first processing on the first image to obtain a delamination texture image of the first veneer, where the first processing at least includes grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, and the morphological processing includes erosion and dilation processing;

[0025] A strategy determination module for determining a veneer processing strategy based on the delamination texture image, where the veneer processing strategy includes a hydrothermal strategy and a pressure strategy.

[0026] In an exemplary embodiment, determining the veneer processing strategy based on the delamination texture image includes:

[0027] Based on the unwinding texture image, determine the first veneer parameter of the first veneer;

[0028] According to the first veneer parameter, determine the veneer processing strategy.

[0029] In an exemplary embodiment, the apparatus further includes:

[0030] A second image acquisition module, configured to acquire a second image of a second veneer after determining the veneer processing strategy according to the first veneer parameter, where the second veneer is obtained after being processed based on the veneer processing strategy;

[0031] A second processing module, configured to perform second processing on the second image to obtain second veneer parameters, where the second processing at least includes grayscale processing, threshold segmentation processing, and morphological processing;

[0032] A quality determination module, configured to determine the processing quality of the second veneer according to the second veneer parameters.

[0033] According to another embodiment of the present invention, there is also provided a broken fiber softened veneer, including:

[0034] A wood veneer layer, having at least three layers, and the texture directions of the wood veneers are perpendicular to each other in pairs, where the wood veneer layer is manufactured according to the image-based broken fiber softened veneer manufacturing method described in any one of the foregoing;

[0035] A polypropylene film layer, sandwiched between any two wood veneer layers.

[0036] According to another embodiment of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, where the computer program is configured to execute the steps in any one of the foregoing method embodiments when running.

[0037] According to another embodiment of the present invention, there is also provided an electronic device, including a memory and a processor, where a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the foregoing method embodiments.

[0038] Through the present invention, by acquiring an image of a wood veneer, performing a series of image processing operations on it to obtain a loosened texture image, and determining a processing strategy for the veneer based on the loosened texture image, including a hydrothermal strategy and a pressure strategy. This method not only improves the accuracy and efficiency of detection, but also can dynamically adjust the processing strategy according to the actual state of the wood veneer to ensure the stability and consistency of the processing quality. Therefore, it can solve the problem of low image processing accuracy in the wood processing field and achieve the effect of improving the image processing accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flowchart of a method for manufacturing a broken fiber softened veneer based on an image according to an embodiment of the present invention;

[0040] Figure 2 is a structural block diagram of a device for manufacturing a broken fiber softened veneer based on an image according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0042] Hereinafter, terms such as "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0043] In addition, in the present application, orientation terms such as "upper", "lower", "left", "right", etc. may include but are not limited to being defined relative to the schematic placement of components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification and may change accordingly with the change of the orientation of the components in the drawings.

[0044] In the present application, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense. For example, "connection" may be a fixed connection, a detachable connection, or an integral body; it may be directly connected or indirectly connected through an intermediate medium. In addition, the term "coupling" may be a way of realizing an electrical connection for signal transmission.

[0045] As used herein, "about", "substantially" or "approximately" includes the stated value and the average value within an acceptable deviation range of the specific value, where the acceptable deviation range is determined by a person of ordinary skill in the art considering the measurement being discussed and the error associated with the measurement of the specific quantity (i.e., the limitations of the measurement system).

[0046] In this embodiment, a method for manufacturing a broken fiber softened veneer based on an image is provided. Figure 1 It is a flowchart of a method for manufacturing a broken fiber softened veneer based on an image according to an embodiment of the present invention, as Figure 1 shown, the process includes the following steps:

[0047] Step S11, obtaining a first image of a first veneer, where the first veneer is obtained after preprocessing an initial veneer, and the first image includes a front image and a back image of the first veneer;

[0048] In this embodiment, during the wood processing, if the subtle defects of the wood are identified by the naked eye, on the one hand, it greatly increases the labor cost, and on the other hand, it also poses a great challenge to the staff who identify them, especially in the case where continuous wood processing is required. Therefore, defect identification by image has become a necessary means.

[0049] Among them, the first image can be obtained by an industrial camera collecting an image of the preprocessed wood veneer, and then the first image is processed subsequently so that the first image can be identified, thereby determining the subsequent processing method; the preprocessing of the initial veneer can be to perform dry cleaning, moisture content balance storage, etc. on the initial veneer after peeling it into slices in sequence. Among them, the dry cleaning process is to remove the debris and sand in the template to ensure that the sand content after dry cleaning is less than or equal to 0.04%; and obtaining the front image and the back image can realize a comprehensive judgment of the veneer state from both sides of the veneer, effectively improving the accuracy of the veneer processing strategy.

[0050] It should be noted that the wood veneer can be an eucalyptus veneer or other veneers.

[0051] Step S12, performing a first processing on the first image to obtain a delaminated texture image of the first veneer, where the first processing includes at least grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, and the morphological processing includes erosion and dilation processing;

[0052] In this embodiment, the first processing of the first image is to facilitate subsequent judgment of the actual state of the first veneer according to the delaminated texture image.

[0053] Among them, the first processing includes image grayscale processing, image sharpening processing, contrast compensation processing, threshold segmentation processing, and erosion and dilation processing, which are carried out in sequence. Specifically:

[0054] First, convert the first image into a grayscale image by taking the average value of the RGB three channels as the grayscale value. Subsequently, use a convolution kernel for sharpening processing to enhance the edge features of the image. At the same time, enhance the contrast of the grayscale image through histogram equalization or linear transformation. Then, select a threshold to set the pixels with grayscale values higher than the threshold to 1 and the pixels lower than the threshold to 0 to convert the processed grayscale image into a binary image. Finally, use morphological operations to perform erosion and dilation processing on the binary image to remove noise and small holes, thereby further enhancing the edge features of the image.

[0055] Step S13, based on the delaminated texture image, determine the veneer processing strategy, where the veneer processing strategy includes a hydrothermal strategy and a pressure strategy.

[0056] In this embodiment, after obtaining the delaminated texture image, analyze the image to determine the various parameters of the veneer, and determine the subsequent processing strategy according to the relevant parameters. It is easy to understand that the determination of the processing strategy is obtained based on a trained neural network model or other algorithm models, that is, input the delaminated texture image into the relevant algorithm model, and then the relevant algorithm model outputs the corresponding strategy value, and then match the corresponding processing strategy from the strategy library according to the strategy value.

[0057] Among them, the hydrothermal strategy includes the number of times, duration, temperature, etc. of heating the veneer, and the pressure strategy includes the pressure magnitude and pressurization duration of pressurizing the veneer, etc. For example, the hydrothermal strategy can include pre-cooking and formal cooking. Among them, the temperature of pre-cooking is 170 to 180 °C, the time is 5 to 6 minutes, and the pressure is 7.0 to 8.5 mpa. The purpose is to soften the wood chips to make them more suitable for subsequent refining treatment. The formal cooking is basically the same as the pre-cooking, and the purpose is to further soften the wood chips to make their fiber structure loose and facilitate subsequent refining treatment. The pressure strategy includes refining, pre-pressing, and hot pressing. Among them, refining is to adjust the pressure of the refiner according to the specific equipment and the softening degree of the wood chips to ensure that the fibers can be fully separated. Pre-pressing is to adjust the pressure of the pre-press according to the thickness of the board blank and the looseness of the fibers to ensure the preliminary forming of the board blank. Hot pressing is carried out under the conditions of a temperature of 105 °C to 115 °C and a pressure of 20 mpa to 22 mpa for 7 minutes to 12 minutes. The purpose is to make the glue fully react through high temperature and high pressure to improve the bonding performance and dimensional stability of the board.

[0058] Among them, the determining the veneer processing strategy based on the delaminated texture image includes:

[0059] Step S131: Determine the first veneer parameters of the first veneer based on the delaminated texture image;

[0060] Step S132: Determine the veneer processing strategy according to the first veneer parameters.

[0061] In this embodiment, the first veneer parameters include pixel occupancy, crack delamination degree, crack coherence, number of cracks, average crack width, etc.

[0062] Among them, the pixel occupancy is to calculate the proportion of texture pixel points in the image to the total pixel points, and this parameter reflects the density of the fiber structure; the crack delamination degree is to calculate the proportion of the area of the crack region to the total image area, and this parameter reflects the distribution of cracks; the crack coherence is to calculate the coherence of the cracks, and this parameter reflects the continuity of the cracks; the number of cracks is to calculate the number of cracks in the image, and this parameter reflects the density of the cracks; the average crack width is to calculate the average width of the cracks, and this parameter reflects the width distribution of the cracks; since the hydrothermal and pressure that can be tolerated are different in different crack situations, it is necessary to select the corresponding processing strategy after determining the relevant parameters to ensure the quality of veneer processing.

[0063] In particular, in addition to judging the processing strategy of the first single board by image processing and analysis, the processing strategy of the first single board can also be judged by combining ultrasonic detection with images; specifically, ultrasonic waves are emitted to the single board, and then the echo of the ultrasonic waves is received through the microphone matrix. Generally, the single board reflects part of the sound waves while absorbing them. At this time, the situation of the single board is judged by the distribution of the reflected sound waves (energy distribution, frequency distribution, etc.), and then associated and matched with the parameters of the first single board. When the two are successfully matched, the processing strategy is determined based on the parameters of the first single board and the sound wave distribution. Among them, the energy distribution calculation is to calculate the energy distribution of the reflected sound wave and analyze the energy attenuation at different frequencies. Through the energy distribution diagram, the sound absorption performance and reflection characteristics of the single board can be preliminarily judged; frequency analysis is to use Fourier transform to convert the sound wave signal in the time domain into a signal in the frequency domain. The frequency distribution diagram is used to determine the absorption and reflection characteristics of the single board to sound waves of different frequencies; the time domain analysis is to use short-time Fourier transform (STFT) for time-frequency analysis to determine the changes of sound waves at different times and frequencies; the association and matching of the sound wave distribution with the first single board parameter is to use or machine learning algorithm to fuse the sound wave reflection data (energy distribution, frequency distribution, etc.) with the first single board parameter of the single board (such as pixel occupancy, crack refraction, crack coherence, number of cracks, average crack width, etc.), and establish an association model between the sound wave reflection data and the first single board parameter, and then use the association model to determine whether the sound wave reflection data matches the first single board parameter. If the match is successful, it means that the acoustic performance of the single board is consistent with the physical structure characteristics, and the next step can be continued; if the match fails, the processing strategy needs to be readjusted, and so on.

[0064] Through the above steps, by acquiring the image of the wood veneer and performing a series of image processing operations on it to obtain a de-sparse texture image, and based on the de-sparse texture image, determining the processing strategy of the veneer, including the hydrothermal strategy and the pressure strategy, the problem of low image processing accuracy in the wood processing field is solved, the image processing accuracy is improved, and the processing strategy can be dynamically adjusted according to the actual state of the wood veneer to ensure the stability and consistency of the processing quality.

[0065] In an optional embodiment, after determining the single board processing strategy according to the first single board parameter, the method further includes:

[0066] Step S14, acquiring a second image of a second single board, wherein the second single board is obtained after being processed based on the single board processing strategy;

[0067] Step S15, performing a second processing on the second image to obtain second single board parameters, wherein the second processing at least includes grayscale processing, threshold segmentation processing and morphological processing;

[0068] Step S16, determine the processing quality of the second veneer according to the second veneer parameters.

[0069] In this embodiment, after the processing is completed, it is also necessary to perform quality inspection on the processed veneer to determine whether the relevant processing process and veneer quality meet the requirements.

[0070] Among them, the threshold segmentation process includes separating the fiber structure and the background in the image using a global threshold. Here, the Otsu algorithm can be used to automatically calculate the optimal threshold; the second veneer parameters are the same as the first veneer parameters. In addition, it is also necessary to detect the moisture content and moisture content distribution of the second veneer through ultrasonic waves. The second veneer parameters include the moisture content. Since the propagation speed of ultrasonic waves in wood is affected by the moisture content of wood, the moisture content of wood can be deduced by measuring the propagation speed of ultrasonic waves. Specifically, it can be calculated according to the following formula:

[0071] Assume that v is the propagation speed of ultrasonic waves in wood, v0 is the propagation speed of ultrasonic waves in oven-dry wood, and w is the moisture content of wood. Then the following relationship can be established:

[0072] v = v0×(a×w + b) (Formula 1)

[0073] In the formula, a and b are constants obtained by fitting experimental data; from this, it can be obtained that:

[0074]

[0075] Of course, the moisture content can also be directly calculated according to the following formula 3 according to the provisions of 4.3.3 in GB / T17657—2013. Here, it is not limited:

[0076]

[0077] In the formula, wc(ij) is the moisture content at the position (i,j), G ij is the initial mass of the veneer at the position (i,j), G d(ij) is the oven-dry mass of the veneer at the position (i,j) after drying, and i is the numerical fiber direction.

[0078] In an alternative embodiment, after determining the processing quality of the second veneer according to the second veneer parameters, the method further includes:

[0079] When the processing quality of the second veneer meets the requirements, perform the third treatment on the second veneer in sequence to obtain the target veneer. Among them, the third treatment at least includes rotary cutting treatment, drying treatment, impregnation treatment, and lay-up treatment.

[0080] In this embodiment, the veneer cutting process includes fixing the second veneer on the fixture of the veneer cutting machine to ensure that the veneer is flat and firmly fixed. Subsequently, the parameters of the veneer cutting machine are adjusted, such as the cutting speed, feed rate, etc. Among them, the relevant parameters need to be adjusted according to the thickness and material of the veneer. Then, the veneer cutting machine is started to perform the veneer cutting operation to cut the veneer into the required thickness and size; the drying process includes placing the cut veneer on a drying rack to ensure that there is enough space between the veneers for air circulation; then the drying rack is placed in a drying device, and appropriate temperature and humidity parameters are set. Usually, the drying temperature is 60°C - 80°C, the humidity is 10% - 20%, and the drying time is adjusted according to the thickness and material of the veneer, generally 2 - 4 hours; the impregnation process includes putting the dried veneer into an impregnation tank to ensure that the veneer is completely immersed in the adhesive, and at the same time, the impregnation time needs to be adjusted according to the thickness of the veneer and the type of the adhesive, generally 3 - 5 minutes; after impregnation, the veneer is taken out and the excess adhesive is drained to ensure that the surface of the veneer is evenly coated with the adhesive; the layup process includes laminating the impregnated veneers according to the design requirements to ensure the alignment and flatness of each layer of veneer. Among them, during the lamination process, tape or fixtures can be used to fix the veneer to prevent displacement; then the laminated veneer is put into a layup device, and the pressure and time parameters are adjusted to perform hot pressing. Usually, the pressure is 1.5 - 2.0 MPa and the time is 10 - 15 minutes.

[0081] In an alternative embodiment, before obtaining the first image of the first veneer, the method further includes:

[0082] Step S101, obtaining an initial image of the first veneer;

[0083] Step S102, performing enhancement processing on the initial image to obtain the first image.

[0084] In this embodiment, in order to improve the generalization ability and robustness of the model, data enhancement operations can be performed on the image, such as gamma transformation, Laplace transformation, random cropping, random horizontal flipping, Gaussian blur, Gaussian noise, and salt-and-pepper noise processing, etc.; for images with fewer defect categories, the Copy-Paste strategy can be adopted to copy and paste the missing defect category images to random positions in the main image, and at the same time update the label information, which is specifically selected and adjusted according to the actual situation.

[0085] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0086] In this embodiment, a device for manufacturing a broken fiber softening veneer based on an image is also provided. This device is used to implement the above embodiments and preferred implementation methods, and those that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0087] Figure 2 is a structural block diagram of a device for manufacturing a broken fiber softening veneer based on an image according to an embodiment of the present invention. As Figure 2 shown, the device includes:

[0088] A first image acquisition module, configured to acquire a first image of a first veneer, where the first veneer is obtained by preprocessing an initial veneer, and the first image includes a front image and a back image of the first veneer;

[0089] A first processing module, configured to perform a first processing on the first image to obtain a delamination texture image of the first veneer, where the first processing at least includes grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, and the morphological processing includes erosion and dilation processing;

[0090] A strategy determination module, configured to determine a veneer processing strategy based on the delamination texture image, where the veneer processing strategy includes a hydrothermal strategy and a pressure strategy.

[0091] In an optional embodiment, determining the veneer processing strategy based on the delamination texture image includes:

[0092] Determining a first veneer parameter of the first veneer based on the delamination texture image;

[0093] Determining the veneer processing strategy according to the first veneer parameter.

[0094] In an alternative embodiment, the apparatus further comprises:

[0095] A second image acquisition module, configured to obtain a second image of a second veneer after determining a veneer processing strategy according to the first veneer parameters, wherein the second veneer is obtained after being processed based on the veneer processing strategy;

[0096] A second processing module, configured to perform second processing on the second image to obtain second veneer parameters, wherein the second processing at least includes grayscale processing, threshold segmentation processing, and morphological processing;

[0097] A quality determination module, configured to determine the processing quality of the second veneer according to the second veneer parameters.

[0098] It should be noted that the above-mentioned various modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited thereto: the above-mentioned modules are all located in the same processor; or, the above-mentioned various modules are respectively located in different processors in any combination form.

[0099] An embodiment of the present invention further provides a broken fiber softened veneer, comprising:

[0100] A wood veneer layer, having at least three layers, and the grain directions of the wood veneers are perpendicular to each other in pairs, wherein the wood veneer layer is manufactured according to the aforementioned image-based broken fiber softened veneer manufacturing method;

[0101] A polypropylene film layer, sandwiched between any two of the wood veneer layers.

[0102] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps in any one of the above method embodiments when running.

[0103] In an exemplary embodiment, the above computer-readable storage medium may include, but is not limited to: USB flash drives, read-only memories (ROM), random access memories (RAM), mobile hard disks, magnetic disks, or optical discs and other various media that can store computer programs.

[0104] An embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0105] In an exemplary embodiment, the above electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the above processor, and the input / output device is connected to the above processor.

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and conciseness of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

[0107] In several embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0108] The units described as separate components may or may not be physically separated. The components displayed as units may be one physical unit or multiple physical units, that is, they can be located in one place, or they can be distributed to multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] In addition, the functional units in each embodiment of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0110] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the methods of the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0111] The above content is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for manufacturing a fiber-breaking and softened single board based on an image, characterized in that: include: Acquire a first image of a first single board, wherein the first single board is obtained after preprocessing an initial single board, and the first image includes a front image and a back image of the first single board; Performing a first processing on the first image to obtain a deconstructed texture image of the first single board, wherein the first processing at least includes grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, wherein the morphological processing includes corrosion and dilation processing; Based on the resolved texture image, a veneer processing strategy is determined, wherein the veneer processing strategy includes a hydrothermal strategy and a pressure strategy.

2. The method according to claim 1, characterized in that Determining the single board processing strategy based on the deconstructed texture image includes: Determining first single board parameters of the first single board based on the de-resolved texture image; The single board processing strategy is determined according to the first single board parameters.

3. The method according to claim 2, characterized in that After determining the single board processing strategy according to the first single board parameter, the method further includes: Acquire a second image of a second single board, wherein the second single board is obtained after being processed based on the single board processing strategy; Performing a second processing on the second image to obtain a second single board parameter, wherein the second processing at least includes grayscale processing, threshold segmentation processing, and morphological processing; The processing quality of the second single board is determined according to the second single board parameters.

4. The method according to claim 3, characterized in that After determining the processing quality of the second single board according to the second single board parameter, the method further includes: When the processing quality of the second veneer meets the requirements, the second veneer is sequentially subjected to a third treatment to obtain a target veneer, wherein the third treatment at least includes peeling, drying, dipping and assembly.

5. The method according to claim 1, characterized in that Before acquiring the first image of the first board, the method further includes: Acquire an initial image of the first board; The initial image is enhanced to obtain the first image.

6. An image-based fiber-breaking and softening veneer manufacturing device, characterized in that: include: A first image acquisition module, configured to acquire a first image of a first single board, wherein the first single board is obtained after preprocessing an initial single board, and the first image includes a front image and a back image of the first single board; A first processing module, configured to perform a first processing on the first image to obtain a de-sparse texture image of the first single board, wherein the first processing at least includes grayscale processing, image sharpening processing, contrast compensation processing, and morphological processing, wherein the morphological processing includes erosion and dilation processing; A strategy determination module is used to determine a single board processing strategy based on the resolved texture image, wherein the single board processing strategy includes a hydrothermal strategy and a pressure strategy.

7. The device according to claim 6, characterized in that Determining the single board processing strategy based on the deconstructed texture image includes: Determining first single board parameters of the first single board based on the de-resolved texture image; The single board processing strategy is determined according to the first single board parameters.

8. The device according to claim 7, characterized in that The device also includes: A second image acquisition module, configured to acquire a second image of a second single board after determining the single board processing strategy according to the first single board parameter, wherein the second single board is processed based on the single board processing strategy; A second processing module, used for performing a second processing on the second image to obtain a second single board parameter, wherein the second processing at least includes grayscale processing, threshold segmentation processing and morphological processing; A quality determination module is used to determine the processing quality of the second single board according to the parameters of the second single board.

9. A fiber-broken softened veneer, characterized in that: include: The wood veneer layer is provided with at least three layers, and the grain directions of the wood veneers are perpendicular to each other, wherein the wood veneer layer is manufactured according to the image-based fiber-breaking and softening veneer manufacturing method according to any one of claims 1 to 5; The polypropylene film layer is sandwiched between any two of the wood veneer layers.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 5 when executed.

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