Digital quantification and detection method and device for wood structure change, electronic equipment and storage medium

Abstract

The invention provides a digital quantification and detection method and device for wood structure change, electronic equipment and a storage medium, and belongs to the technical field of forestry. The method comprises the following steps: acquiring a cross section scanning image of a wood sample; performing feature structure extraction on the cross section scanning image to obtain an external contour, an internal annual ring and a wood ray of the wood sample; and based on the outer contour, the inner annual ring and the wood ray, determining the outer contour perimeter, the annual ring length, the wood ray length and the included angle between the wood ray and the annual ring of the wood sample. When wood is placed in a dynamic environment or loaded, due to the fact that chemical components of different cell structures or processing states of the same cell structure are different, section feature structures of the wood are changed to different degrees along with environment changes. And quantitative analysis of wood section microscopic characteristic structure change is realized.

Description

Technical Field

[0001] This invention relates to the field of forestry technology, and in particular to a digital quantitative method, apparatus, electronic device, and storage medium for detecting changes in wood structure. Background Technology

[0002] With the advancement of the "dual carbon" strategic goals, the efficient development and high-value utilization of biomass materials has become an important research direction in the field of materials science. Wood, as a typical natural anisotropic biomass material, exhibits significant dimensional deformation, morphological changes, and structural response characteristics in its internal structural units (such as annual rings and wood rays) under dynamic environmental conditions such as temperature and humidity changes or external force loading. These responses are not only reflected in overall expansion or contraction at the macroscopic scale, but also in complex local non-uniform deformation and structural shift behavior at the microscopic scale.

[0003] Currently, traditional tools, such as vernier calipers and micrometers, are commonly used to measure and compare macroscopic dimensional changes in biomass materials. Alternatively, electron microscopes are used to observe and compare microscopic dimensional changes in biomass materials locally. Using traditional tools to measure the straight-line distance between two points on the material only reflects local linear length changes. For example, US patent US5873182A places a displacement sensor on the surface of the board to measure its surface shrinkage, achieving continuous measurement of microscopic dimensional changes. However, it is difficult to characterize the overall morphological changes and local response characteristics of wood in complex environments, i.e., the coordinate shifts and morphological changes of irregular boundaries and sectional features such as wood rays and growth rings. While local observation and comparison can observe the differences in response and local deformation behavior of sectional structural features (such as growth rings and wood rays) at the microscale, quantitative comparison is not possible, making it difficult to reveal the specific adaptation mechanisms of different structural units to dynamic environments.

[0004] Therefore, how to quantitatively analyze the cross-sectional features of biomass materials at the microscale has become an urgent technical problem to be solved. Summary of the Invention

[0005] This invention provides a digital quantitative method, device, electronic device, and storage medium for detecting changes in wood structure, in order to overcome the shortcomings of existing technologies that cannot quantitatively analyze the cross-sectional structural features of biomass materials at the microscale.

[0006] This invention provides a digital quantitative method for detecting changes in wood structure, comprising the following steps: Obtain cross-sectional scan images of wood samples; Feature structure extraction is performed on the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; Based on the external contour, the internal growth rings, and the wood rays, the perimeter of the outer contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings of the wood sample are determined.

[0007] According to the present invention, a digital quantitative method for detecting changes in wood structure includes extracting feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample, comprising: The cross-sectional scan image was used to extract feature structures using a chart data extraction tool to obtain the external contour, internal growth rings, and wood rays of the wood sample.

[0008] According to the present invention, a digital quantitative method for detecting changes in wood structure is provided, wherein the method uses a chart data extraction tool to extract feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample, including: Using the chart data extraction tool, a coordinate system is established with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample.

[0009] According to the present invention, a digital quantitative method for detecting changes in wood structure, after establishing a coordinate system using the chart data extraction tool with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the external contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the external contour, internal growth rings, and wood rays, the radial dimension variation, tangential dimension variation, perimeter variation, and area variation of the wood sample are calculated.

[0010] According to the present invention, a digital quantitative method for detecting changes in wood structure, after establishing a coordinate system using the chart data extraction tool with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the external contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the outer contour of the wood sample, a schematic diagram of the outer contour change is generated; Based on the coordinate information of the internal annual rings of the wood sample, a schematic diagram of annual ring changes is generated; Based on the coordinate information of the wood rays in the wood sample, a schematic diagram of the wood ray changes is generated.

[0011] According to the present invention, a digital quantitative method for detecting changes in wood structure, after determining the perimeter of the outer contour, the length of the annual rings, the length of the wood rays, and the angle between the wood rays and the annual rings based on the outer contour, the inner annual rings, and the wood rays, further includes: Based on the internal growth rings, the wood rays, and the angle between the wood rays and the growth rings of the wood sample, a schematic diagram of feature lines and angles is generated; the schematic diagram of feature lines and angles reflects the structural relationship between the growth rings and the wood rays.

[0012] This invention also provides a digital quantitative detection device for changes in wood structure, comprising the following modules: Image acquisition module, used to: acquire cross-sectional scan images of wood samples; The feature extraction module is used to: extract the feature structure from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; The quantitative calculation module is used to determine the perimeter of the outer contour, the length of the annual rings, the length of the wood ray, and the angle between the wood ray and the annual ring based on the outer contour, the inner annual rings, and the wood rays.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the digital quantitative and detection method for wood structural changes as described above.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the digital quantitative and detection method for wood structural changes as described above.

[0015] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements a digital quantitative and detection method for wood structural changes as described above.

[0016] This invention provides a digital quantitative method, apparatus, electronic device, and storage medium for detecting and analyzing changes in wood structure. The method acquires cross-sectional scan images of wood samples; extracts feature structures from the cross-sectional scan images to obtain the external contour, internal growth rings, and wood rays of the wood sample; and determines the perimeter of the external contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings based on the external contour, the internal growth rings, and the wood rays. When wood is placed in a dynamic environment or under load, its cross-sectional feature structure will change to varying degrees due to differences in the chemical composition of different cell structures or different treatment states of the same cell structure. This invention achieves quantitative analysis of changes in the microscopic feature structure of wood cross-sections by extracting and recording feature structures from scanned images. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the digital quantitative detection method for wood structural changes provided by the present invention. Figure 2 These are cross-sectional scan images of wood samples in different states provided by the present invention; Figure 3 This is a schematic diagram of the coordinate system provided by the present invention; Figure 4 This is a schematic diagram of the feature structure information provided by the present invention; Figure 5 This is a schematic diagram of the digitized feature lines and included angles provided by the present invention; Figure 6 This is a schematic diagram illustrating the changes in the characteristic structure of wood samples under different states provided by the present invention; Figure 7 This is a schematic diagram of the change in the compression boundary provided by the present invention; Figure 8 This is a schematic diagram of the digital quantitative detection device for wood structural changes provided by the present invention. Figure 9 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] It should be noted that in the description of the embodiments of the present invention, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The terms "upper," "lower," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly, for example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0021] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, without limiting the number of objects; for example, a first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects have an "or" relationship.

[0022] The following is combined Figures 1-9 This invention describes the digital quantitative method, apparatus, electronic device, and storage medium for detecting changes in wood structure provided in embodiments of the present invention.

[0023] Figure 1This is a flowchart illustrating the digital quantitative detection method for wood structural changes provided by the present invention, as shown below. Figure 1 As shown, the method includes the following: S110, acquire a cross-sectional scan image of the wood sample; S120, extract the feature structure from the cross-sectional scan image to obtain the external contour, internal growth rings and wood rays of the wood sample; S130, based on the outer contour, the inner annual rings, and the wood rays, determine the outer contour perimeter, annual ring length, wood ray length, and the angle between the wood rays and the annual rings of the wood sample.

[0024] In this embodiment of the invention, the executing entity of the digital quantitative and detection method for wood structural changes can be a digital quantitative and detection device for wood structural changes. This device may include, but is not limited to, servers and computer equipment, such as mobile phones, tablets, laptops, handheld computers, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs). The executing entity of the digital quantitative and detection method for wood structural changes can also be a digital quantitative and detection system for wood structural changes, which is a subset of the digital quantitative and detection device for wood structural changes.

[0025] For ease of understanding, the following uses cross-sectional scan images of wood samples after one drying, 48-hour soaking, and two drying cycles of compressed fir wood as an example to illustrate the digital quantitative and detection method for wood structural changes provided by this invention.

[0026] Wood possesses characteristic structures such as rays and growth rings, and compressed wood exhibits a more drastic and varied response to temperature and humidity changes. After compression, Chinese fir was treated in a 0.3 MPa superheated steam environment for 2 hours to fix its compression deformation. A 20 mm (L) × 20 mm (R) × 20 mm (T) block of Chinese fir was used as the research object, and its cross-section was polished. The selected Chinese fir compressed material was surface-compressed, meaning only the surface layer was directionally compressed. The boundary between the compressed and uncompressed layers was defined as the compression boundary, allowing for the tracking of its morphological and dimensional changes under varying temperature and humidity conditions.

[0027] Figure 2 These are cross-sectional scan images of wood samples in different states provided by this invention, such as... Figure 2As shown, the compressed fir lumber was first placed in a 103℃ oven for oven-drying; then, it was soaked in cold water for 48 hours; afterwards, it was removed, air-dried, and then placed back into the 103℃ oven for oven-drying. After each treatment, the polished surface of the sample was scanned (using a flatbed image scanner, 48-bit full-color scanning mode, scanning resolution of 12800 dpi), and the results were obtained as shown below. Figure 2 (a) shows a single dryness (AD 1), as Figure 2 (b) shows the soaking time of 48 hours (WA 48 hours), and as shown in the figure. Figure 2 (c) shows a cross-sectional image of the sample under secondary drying (AD 2).

[0028] The present invention provides a digital quantitative method for detecting changes in wood structure, which acquires a cross-sectional scan image of a wood sample; extracts feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; and determines the perimeter of the external contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings based on the external contour, the internal growth rings, and the wood rays. When wood is placed in a dynamic environment or under load, its cross-sectional feature structure will change to varying degrees due to differences in the chemical composition of different cell structures or the different treatment states of the same cell structure. The present invention achieves a quantitative description of changes in the microscopic feature structure of the wood cross-section by uniformly extracting and recording the feature structures of the scanned image.

[0029] In an optional embodiment, the step of extracting feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample includes: The cross-sectional scan image was used to extract feature structures using a chart data extraction tool to obtain the external contour, internal growth rings, and wood rays of the wood sample.

[0030] In this embodiment of the invention, the chart data extraction tool is a software tool used to extract chart data from images, converting scanned images into digital data, thereby facilitating further analysis and use.

[0031] Optionally, Getdata Graph Digitizer 2.25 can be used to visualize, extract, label, and record the feature structures within the high-resolution cross-sectional image.

[0032] Furthermore, the step of using a chart data extraction tool to extract feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample includes: Using the chart data extraction tool, a coordinate system is established with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample.

[0033] Figure 3 This is a schematic diagram of the coordinate system provided by the present invention, such as... Figure 3 As shown, the radial direction of the sample (image width direction) is taken as the X-axis, and the chordal direction of the sample (image height direction) is taken as the Y-axis, as follows: Figure 3 As shown in (a), the origin (0, 0) is the intersection of the X-axis and the Y-axis (i.e., the lower left corner of the image). The edge pixel at the lower right corner of the image is Xmax (the value is the image pixel width × 2.54 / 12800 cm), and the upper left corner of the image is Ymax (the value is the image pixel height × 2.54 / 12800 cm).

[0034] Figure 4 This is a schematic diagram of the feature structure information provided by the present invention, such as... Figure 4 As shown, the characteristic structures of oriented compressed fir lumber include the external profile and internal annual rings, wood rays, and compression boundaries. For example... Figure 4 As shown in (a), it includes transverse wood rays and longitudinal growth rings; as Figure 4 As shown in (b), it includes transverse wood rays and longitudinal compression boundaries; the feature structure is captured in the form of points and lines using a chart data extraction tool, and the following can be obtained based on the established coordinate system: Figure 4 (c) shows the specific coordinate information contained in the feature structure.

[0035] The digital quantitative detection method for changes in wood structure provided in this invention constructs a coordinate system with the lower left corner of the image as the origin, thereby quantitatively determining the position of feature points in the scanned image and providing quantitative data for the analysis of compressed wood structure.

[0036] In an optional embodiment, after determining the perimeter of the outer contour, the length of the annual rings, the length of the wood ray, and the angle between the wood ray and the annual ring based on the outer contour, the inner annual rings, and the wood rays, the method further includes: Based on the internal growth rings, the wood rays, and the angle between the wood rays and the growth rings of the wood sample, a schematic diagram of feature lines and angles is generated; the schematic diagram of feature lines and angles reflects the structural relationship between the growth rings and the wood rays.

[0037] Figure 5 This is a schematic diagram of the digitized feature lines and included angles provided by the present invention, such as... Figure 5As shown, based on the coordinate information of the characteristic structure, after simple data processing, information such as the outer contour perimeter of the sample, the length of the annual rings, the length of the wood rays, and the angle between the wood rays and the annual rings can be obtained.

[0038] In an optional embodiment, after using the chart data extraction tool to establish a coordinate system with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, and obtaining the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the external contour, internal growth rings, and wood rays, the radial dimension variation, tangential dimension variation, perimeter variation, and area variation of the wood sample are calculated.

[0039] In this embodiment of the invention, after determining the coordinate information, specific quantitative values ​​such as radial dimension change, tangential dimension change, perimeter change, and area change of the wood sample can be calculated using the coordinate information corresponding to the pixel points.

[0040] The digital quantitative and detection method for wood structural changes provided in this invention provides a precise and targeted quantitative description of the characteristic structural changes of biomass materials based on coordinate information, thereby accurately determining the amount of microstructural changes in biomass materials.

[0041] In an optional embodiment, after using the chart data extraction tool to establish a coordinate system with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, and obtaining the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the outer contour of the wood sample, a schematic diagram of the outer contour change is generated; Based on the coordinate information of the internal annual rings of the wood sample, a schematic diagram of annual ring changes is generated; Based on the coordinate information of the wood rays in the wood sample, a schematic diagram of the wood ray changes is generated.

[0042] Figure 6 This is a schematic diagram illustrating the changes in the characteristic structure of wood samples under different states provided by the present invention, such as... Figure 6 (a) shows a schematic diagram of the change in the outer contour, reflecting the change in the overall outer contour morphology of the wood sample.

[0043] A diagram illustrating annual ring changes is shown below. Figure 6As shown in (b), the annual ring characteristics of wood samples under three different conditions—first drying, soaking for 48 h, and second drying—were compared. It was found that during water absorption and drying, the annual rings did not move parallel but rather at a certain angle. Compared to the first drying, the angle of movement of the annual rings was smaller after soaking for 48 h, and they were approximately parallel. Compared to the first drying, the angle of movement was larger after the second drying, and the annual rings tended to be perpendicular to the X-axis.

[0044] A schematic diagram of the changes in wood rays is shown below. Figure 6 As shown in (c), the wood rays in the wood sample exhibit a stepped variation due to the presence of the compression layer, and their tilting trends are similar. The lengths of the upper, middle, and lower wood rays differ significantly under the first oven-drying condition, being 2.478 cm, 2.334 cm, and 2.276 cm, respectively (due to the overall shape of the sample being wider at the top and narrower at the bottom, the lengths of the wood rays also decrease from top to bottom). After the second oven-drying, the difference in length between the three wood rays decreases, becoming 2.360 cm, 2.313 cm, and 2.315 cm, respectively.

[0045] Figure 7 This is a schematic diagram of the change in the compression boundary provided by the present invention, wherein, Figure 7 (a) is a schematic diagram showing the change in the compression boundary of a once-dry wood sample. Figure 7 (b) is a schematic diagram showing the change in the compression boundary of a wood sample soaked for 48 hours. Figure 7 (c) is a schematic diagram illustrating the change in the compression boundary of a wood sample after a second oven-drying process. For example... Figure 7 As shown, the compression layer has undergone angular movement, similar to the movement and change trend of the tree rings. This may be due to the inconsistent structure on both sides of the compression layer, and the fact that the distribution of textures such as tree rings cannot be completely perpendicular to the compression direction, resulting in an uneven degree of compression density. One side is denser, and after encountering water, more stress is released, resulting in greater rebound.

[0046] The digital quantitative and detection method for wood structural changes provided in this invention generates visualized schematic diagrams of outer contour changes, annual ring changes, and wood ray changes based on coordinate information. These diagrams reflect the changes in the structural characteristics of the wood cross-section under different external forces, revealing the anisotropic mechanical response mechanism of wood.

[0047] In summary, the digital quantitative detection method for wood structural changes provided by this invention takes the cross-section of wood as the research object. It precisely extracts, displays, and records the characteristic structural information (including but not limited to annual rings and wood rays) on the cross-section through scanning, marking, and connecting operations. When wood is placed in a dynamic environment or under load, its cross-sectional characteristic structure will change to varying degrees due to differences in the chemical composition of different cell structures or the different treatment states of the same cell structure. During changes in the external environment (temperature, humidity, load), a unified series of operations such as scanning, marking, and connecting are used to extract and record the coordinates, dimensions, and morphological changes of different characteristic structures on the cross-section. By comparing the specific changes of different characteristic structures under different states, quantitative analysis and visualization of differences in the characteristic structure of the wood cross-section are achieved.

[0048] The following describes the digital quantitative and detection device for wood structure changes provided in the embodiments of this application. The digital quantitative and detection device for wood structure changes described below can be referred to in correspondence with the digital quantitative and detection method for wood structure changes described above.

[0049] Figure 8 This is a schematic diagram of the digital quantitative detection device for wood structural changes provided by the present invention, as shown below. Figure 8 As shown, the digital quantitative detection device for changes in wood structure may include, but is not limited to: Image acquisition module 810 is used to: acquire cross-sectional scan images of wood samples; The feature extraction module 820 is used to: extract the feature structure from the cross-sectional scan image to obtain the external contour, internal growth rings and wood rays of the wood sample; The quantitative calculation module 830 is used to: determine the perimeter of the outer contour, the length of the annual rings, the length of the wood ray, and the angle between the wood ray and the annual ring based on the outer contour, the inner annual rings, and the wood rays.

[0050] The digital quantitative detection device for wood structural changes provided in this invention acquires cross-sectional scan images of wood samples; extracts feature structures from the cross-sectional scan images to obtain the external contour, internal growth rings, and wood rays of the wood sample; and determines the perimeter of the external contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings based on the external contour, the internal growth rings, and the wood rays. When wood is placed in a dynamic environment or under load, its cross-sectional feature structure will change to varying degrees due to differences in the chemical composition of different cell structures or different treatment states of the same cell structure. This invention achieves quantitative analysis of the cross-sectional feature structure of wood by uniformly extracting and recording the feature structures from the scanned images.

[0051] In an optional embodiment, the feature extraction module 820 is specifically used for: The cross-sectional scan image was used to extract feature structures using a chart data extraction tool to obtain the external contour, internal growth rings, and wood rays of the wood sample.

[0052] In an optional embodiment, the feature extraction module 820 is further specifically used for: Using the chart data extraction tool, a coordinate system is established with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample.

[0053] In an optional embodiment, the digital quantitative detection device for wood structural changes further includes: The feature change calculation module is used to calculate the radial dimension change, tangential dimension change, perimeter change, and area change of the wood sample based on the coordinate information of the external contour, internal annual rings, and wood rays.

[0054] In an optional embodiment, the digital quantitative detection device for wood structural changes further includes: The visual image generation module is used to: generate a schematic diagram of the outer contour change based on the coordinate information of the outer contour of the wood sample; generate a schematic diagram of the growth ring change based on the coordinate information of the internal growth rings of the wood sample; and generate a schematic diagram of the growth ray change based on the coordinate information of the wood rays of the wood sample.

[0055] In an optional embodiment, the digital quantitative detection device for wood structural changes further includes: The feature line and angle diagram generation module is used to: generate a feature line and angle diagram based on the internal annual rings, the wood rays, and the angle between the wood rays and the annual rings of the wood sample; the feature line and angle diagram reflects the structural relationship between the annual rings and the wood rays.

[0056] Figure 9 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 9 As shown, the electronic device may include: a processor 910, a communication interface 920, a memory 930, and a communication bus 940, wherein the processor 910, the communication interface 920, and the memory 930 communicate with each other via the communication bus 940. The processor 910 can call logical instructions in the memory 930 to execute a digital quantitative detection method for changes in wood structure, the method including: Obtain cross-sectional scan images of wood samples; Feature structure extraction is performed on the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; Based on the external contour, the internal growth rings, and the wood rays, the perimeter of the outer contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings of the wood sample are determined.

[0057] Furthermore, the logical instructions in the aforementioned memory 930 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0058] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the digital quantitative and detection method for wood structural changes provided by the above methods, the method comprising: Obtain cross-sectional scan images of wood samples; Feature structure extraction is performed on the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; Based on the external contour, the internal growth rings, and the wood rays, the perimeter of the outer contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings of the wood sample are determined.

[0059] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for digitally quantifying and detecting changes in wood structure provided by the methods described above, the method comprising: Obtain cross-sectional scan images of wood samples; Feature structure extraction is performed on the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; Based on the external contour, the internal growth rings, and the wood rays, the perimeter of the outer contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings of the wood sample are determined.

[0060] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0061] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, 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 can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A digital quantitative method for detecting changes in wood structure, characterized in that, include: Obtain cross-sectional scan images of wood samples; Feature structure extraction is performed on the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; Based on the external contour, the internal growth rings, and the wood rays, the perimeter of the outer contour, the length of the growth rings, the length of the wood rays, and the angle between the wood rays and the growth rings of the wood sample are determined.

2. The digital quantitative detection method for changes in wood structure according to claim 1, characterized in that, The step of extracting feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample includes: The cross-sectional scan image was used to extract feature structures using a chart data extraction tool to obtain the external contour, internal growth rings, and wood rays of the wood sample.

3. The digital quantitative detection method for changes in wood structure according to claim 2, characterized in that, The step of using a chart data extraction tool to extract feature structures from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample includes: Using the chart data extraction tool, a coordinate system is established with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, to obtain the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample.

4. The digital quantitative detection method for changes in wood structure according to claim 3, characterized in that, After using the chart data extraction tool to establish a coordinate system with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, and obtaining the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the external contour, internal growth rings, and wood rays, the radial dimension variation, tangential dimension variation, perimeter variation, and area variation of the wood sample are calculated.

5. The digital quantitative detection method for changes in wood structure according to claim 3, characterized in that, After using the chart data extraction tool to establish a coordinate system with the lower left corner of the cross-sectional scan image as the origin, the radial direction of the cross-sectional scan image as the X-axis, and the chordal direction of the cross-sectional scan image as the Y-axis, and obtaining the coordinate information of the outer contour, internal annual rings, and wood rays of the wood sample, the method further includes: Based on the coordinate information of the outer contour of the wood sample, a schematic diagram of the outer contour change is generated; Based on the coordinate information of the internal annual rings of the wood sample, a schematic diagram of annual ring changes is generated; Based on the coordinate information of the wood rays in the wood sample, a schematic diagram of the wood ray changes is generated.

6. The digital quantitative detection method for changes in wood structure according to claim 1, characterized in that, After determining the perimeter of the outer contour, the length of the annual rings, the length of the wood ray, and the angle between the wood ray and the annual ring based on the outer contour, the inner annual rings, and the wood rays, the method further includes: Based on the internal growth rings, the wood rays, and the angle between the wood rays and the growth rings of the wood sample, a schematic diagram of feature lines and angles is generated; the schematic diagram of feature lines and angles reflects the structural relationship between the growth rings and the wood rays.

7. A digital quantitative detection device for changes in wood structure, characterized in that, include: Image acquisition module, used to: acquire cross-sectional scan images of wood samples; The feature extraction module is used to: extract the feature structure from the cross-sectional scan image to obtain the external contour, internal growth rings, and wood rays of the wood sample; The quantitative calculation module is used to determine the perimeter of the outer contour, the length of the annual rings, the length of the wood ray, and the angle between the wood ray and the annual ring based on the outer contour, the inner annual rings, and the wood rays.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the digital quantitative and detection method for changes in wood structure as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the digital quantitative and detection method for changes in wood structure as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the digital quantitative and detection method for changes in wood structure as described in any one of claims 1 to 6.

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