CN114332145A - Quantification method and system for wood cell structure - Google Patents
Quantification method and system for wood cell structure Download PDFInfo
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Abstract
The invention provides a quantification method and a quantification system for a wood cell structure, wherein an X-ray scanning electron microscope is adopted to scan target wood to obtain a gray scanning image; carrying out image segmentation on the gray scanning image according to a gray threshold value to obtain a threshold segmentation image comprising a plurality of gray areas; distinguishing a cell area and a non-cell area; performing connectivity analysis on the gray level regions in the threshold segmentation image to obtain a connectivity analysis diagram comprising a plurality of connectivity regions; dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures by using morphological operations to obtain a cell structure diagram; and performing three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model. The method combines the X-ray tomography technology, is not limited to two-dimensional scale, represents the cell structure of the target wood in an in-situ lossless manner, obtains the wood cell structure quantitative model, and can dynamically display the connection relation and the form among all the cell structures of the target wood.
Description
Technical Field
The invention relates to the technical field of scientific research of wood, in particular to a method and a system for quantifying a wood cell structure.
Background
The wood is a natural high molecular porous material as a resource which has huge quantity, strong growth and regeneration in nature. The growth of the tree is not only influenced by time and environmental factors, but also influenced by genetic factors, so that the wood has a complex structure, large cell difference and multiple types, contains various macro and micro structural features and presents a complex three-dimensional structure. The complex structures are closely related to the physical and mechanical properties of the wood, and the research on the relationship between the internal structure and the properties of the wood can provide theoretical support for the fields of wood processing, wood protection, wood identification, wood structure construction and the like.
Today, the study of wood cells relies mainly on the combination of chemical methods and microtomes to make sections that are observed under a microscope. However, the prepared wood cells have poor integrity, large error, easy pollution, long time consumption and low precision, and only one plane is provided, so that the three-dimensional structure of the wood cells cannot be displayed, the structural relationship between the cells cannot be displayed, and further the deeper research on the wood cells cannot be met. For example, the axial growth conduit molecules in wood are arranged with a certain tortuosity, and only the morphological characteristics of a specific section can be observed through the conventional slicing.
The X-ray tomography (X-ray CT) technique is to irradiate and penetrate a sample to be detected by X-rays to form a sectional view at a certain height, then to reconstruct the scanning pictures at different angles by using reconstruction analysis software, and finally to form a three-dimensional scanning image after combination. The X-ray CT is not limited to two-dimensional scale, has the characteristics of a scanning electron microscope, namely representing the internal structure of wood, and has the characteristics that the attenuation rates of X rays to different substances are different, and a test piece is not damaged. Originally, the application of tomography to medical imaging, and composite materials, has made it possible to apply tomography to the field of wood science research, with the continued maturity and commercialization of equipment.
Aiming at the problems, the invention provides a method and a system for quantifying a wood cell structure in the field of wood science research by combining an X-ray tomography technology.
Disclosure of Invention
The invention aims to provide a method and a system for quantifying a wood cell structure, and solves the problems that the wood cell prepared in the prior art is poor in integrity and low in precision, only has one plane, cannot show a three-dimensional structure of the wood cell, cannot show a structural relationship between the cell and the cell, and further cannot meet the requirement of deeper research on the wood cell.
In order to achieve the above object, the present invention provides a method for quantifying a wood cell structure, comprising the steps of:
scanning the target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray scale scanning image set comprises a plurality of gray scale scanning images with different angles and heights;
carrying out image segmentation on each gray scale scanning image according to a gray scale threshold value to obtain a threshold segmentation image corresponding to each gray scale scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds;
performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; the connectivity area comprises a plurality of cell structures;
by using morphological operation, dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures to obtain a cell structure diagram of the target wood;
and carrying out three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
Optionally, when the target wood is scanned by using an X-ray scanning electron microscope, the acceleration voltage of the X-ray scanning electron microscope is 30-60 KV, and the spatial resolution is 700 nm.
Optionally, before the image segmentation of the grayscale scanned image according to the grayscale threshold, the method further includes:
if the target wood belongs to the preset wood species, performing edge detection on the gray scanning image by adopting an edge detection algorithm; the preset wood species are a set of wood species with unclear cell edge boundary and small density difference in the gray-scale scanning image.
Optionally, before the segmenting the connected region composed of a plurality of cell structures into a plurality of independent cell structures by using morphological operations, the quantifying method further includes:
and rejecting the connectivity area with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
Optionally, after the segmenting the connectivity region including the number of cell structures into the number of independent cell structures by using the morphological operation, the quantifying method further includes:
the incomplete cell structure in the cytogram is expanded by morphological operations.
Optionally, after the connectivity region including the plurality of cell structures is divided into a plurality of independent cell structures by using morphological operations, the method further includes:
and processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again, and updating the cell structure diagram.
In another aspect, the present invention provides a quantification system for a wood cell structure, comprising:
the system comprises a gray scanning image acquisition unit, a gray scanning image acquisition unit and a gray scanning image acquisition unit, wherein the gray scanning image acquisition unit is used for scanning target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray scale scanning image set comprises a plurality of gray scale scanning images with different angles and heights;
the gray threshold segmentation unit is used for carrying out image segmentation on each gray scanning image according to a gray threshold to obtain a threshold segmentation image corresponding to each gray scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds;
the connectivity analysis unit is used for performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; each connectivity region comprises a plurality of cell structures;
the cell structure dividing unit is used for dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures by using morphological operations to obtain a cell structure diagram of the target wood;
and the quantitative model establishing unit is used for carrying out three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
Optionally, the quantization system further comprises: the edge detection unit is used for detecting the edge of the gray scanning image by adopting an edge detection algorithm when the target wood belongs to a preset wood species; the preset wood species are wood species sets with unclear cell edge boundaries and small density differences in the gray-scale scanning images.
Optionally, the quantization system further comprises: and the fine region removing unit is used for removing the connectivity region with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
Optionally, the quantization system further comprises: and the watershed segmentation unit is used for processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again and updating the cell structure diagram.
According to the specific invention content provided by the invention, the invention discloses the following technical effects:
the invention provides a quantification method of a wood cell structure, which adopts an X-ray scanning electron microscope to scan target wood to obtain a gray scanning image of the target wood; carrying out image segmentation on the gray scanning image according to a gray threshold to obtain a threshold segmentation image comprising a plurality of gray areas; distinguishing a cell area and a non-cell area; performing connectivity analysis on a plurality of gray scale regions in the threshold segmentation image to obtain a connectivity analysis diagram comprising a plurality of connectivity regions; by using morphological operation, dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures to obtain a cell structure diagram of the target wood; and performing three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model. The method provided by the invention combines the X-ray tomography technology, is not limited to two-dimensional scale, can represent the cell structure of the target wood in an in-situ lossless manner, finally obtains a three-dimensional wood cell structure quantitative model, and can dynamically display the connection relation and the form among all the cell structures of the target wood.
By adjusting the accelerating voltage of the X-ray scanning electron microscope, the voxel resolution in the obtained gray scanning image can reach 0.3 mu m, so that the precision of the wood cell research is improved from millimeter level to micron level, and the deeper research on the wood cells can be better satisfied.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for quantifying a wood cell structure according to example 1 of the present invention;
FIG. 2 is a block diagram of a quantification system of a wood cell structure according to example 2 of the present invention;
FIG. 3 is a schematic diagram of the quantification of cell structures of coniferous wood provided in example 3 of the present invention;
FIG. 4 is a schematic diagram of the measurement of coniferous wood cells provided in example 3 of the present invention;
FIG. 5 is a diagram illustrating the quantification of the cell structure of coniferous wood provided in example 4 of the present invention;
FIG. 6 is a diagram illustrating the quantification of cell structure of broad-leaved wood according to example 5 of the present invention;
FIG. 7 is a schematic diagram showing the measurement of the conduit proportion of broad-leaved wood according to example 5 of the present invention.
Description of the symbols:
1: a gray-scale scanning image acquisition unit; 2: an edge detection unit; 3: a grayscale threshold dividing unit; 4: a connectivity analysis unit; 5: a fine region eliminating unit; 6: a cell structure division unit; 7: a cell structure expansion unit; 8: a watershed segmentation unit; 9: and a quantitative model establishing unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for quantifying a wood cell structure, and solves the problems that the wood cell prepared in the prior art is poor in integrity and low in precision, only has one plane, cannot show a three-dimensional structure of the wood cell, cannot show a structural relationship between the cell and the cell, and further cannot meet the requirement of deeper research on the wood cell.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1:
as shown in fig. 1, the present invention provides a method for quantifying a wood cell structure, comprising the steps of:
s1, scanning the target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray-scale scanning image set comprises a plurality of gray-scale scanning images with different angles and heights.
In order to improve the voxel resolution in the gray-scale scanning image, when an X-ray scanning electron microscope is adopted to scan the target wood, the accelerating voltage of the X-ray scanning electron microscope is designed to be 30-60 KV, and the spatial resolution is 700 nm. And after the scanning is finished, a plurality of two-dimensional gray scanning images are obtained, and the gray scanning images are led into three-dimensional modeling software to be stacked one by one to form a three-dimensional image in a three-dimensional interface.
S2, if the target wood belongs to the preset wood species, performing edge detection on each gray scanning image by using an edge detection algorithm; the preset wood species are a set of wood species with unclear cell edge boundary and small density difference in the gray-scale scanning image.
Because the edge boundaries of the cell structures of some kinds of wood are fuzzy and the edge errors are very large by manual demarcation, sometimes according to the test requirements, edge detection needs to be performed firstly, and when the edge detection is performed, a plurality of image edge detection optimization systems based on different algorithms are provided, such as a Scharr algorithm, a Diamond algorithm, a Laplacian operator, a Sobel operator and the like, and the practice shows that Soble operator edge detection is most suitable for wood.
S3, carrying out image segmentation on each gray scale scanning image according to the gray scale threshold value to obtain a threshold segmentation image corresponding to each gray scale scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds.
Because the image obtained by scanning the target wood by using the X-ray scanning electron microscope is represented by different gray scales, the attenuation rate of the X-ray when the X-ray passes through an object is reflected, and the X-ray attenuation rate is in linear positive correlation with the wood density, the internal density distribution of the wood is indirectly represented by the gray scale value, the areas with different densities can be roughly distinguished, the integral integrity of each area is ensured as much as possible during the division of the gray scale threshold, and the condition that the selected area is dispersed is avoided. The peak height (the part with higher frequency) and the peak valley (the part with lower frequency) are the most obvious boundaries, in the quantification process of the wood cells, the peak height in the gray level histogram of the cross section is the cell cavity and other substances, and the peak valley at two sides is the wall layer structure of the cell wall, the wood ray and the like.
S4, performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; the connectivity area includes a number of cellular structures.
The threshold segmentation image obtained after the gray threshold segmentation is only the result of segmenting the region with obvious density distribution, further segmentation image processing is needed, connectivity analysis is suitable for segmenting the region with small density difference, and the segmentation is more convenient for segmenting fine structures and structures with connection points. A 6-connectivity analysis, which refers to a single structure if no 6-surface connected portion exists between two voxels, or a 26-connectivity analysis, which refers to a single structure if no 8-surface connected portion exists between two voxels, and no 8-surface vertex 12-side connected portion exists between two voxels, may be selected.
And S5, removing the connectivity area with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
After obtaining a connectivity analysis diagram, wherein a plurality of independent connected regions Multi-ROI are provided, the connected regions are sorted according to volume, surface area or voxel (the volume is selected to be most appropriate), different colors are selected to represent the regions, the different colors are independent, then unnecessary connected regions with the volume smaller than a preset threshold are removed, and a new ROI is derived.
And S6, dividing the connectivity area comprising a plurality of cell structures into a plurality of independent cell structures by using morphological operation to obtain the cell structure diagram of the target wood.
If there are connection points between different structural descriptions in the same color, the set Multi-ROI can be directly derived as a new ROI without screening, the connection points are corroded by morphological operation, or the connected voxels are observed by the user to search for connected voxels for ROI erasure.
S7, expanding the incomplete cell structure in the cell structure diagram by using morphological operation.
If the obtained cell structure is incomplete, a small part of the cell structure is lost, and the incomplete cell structure can be dilated and adjusted by morphological operation. After obtaining the cell structure diagram, the perimeter, surface area, volume, ratio, porosity, etc. of the corresponding cell structure can be calculated according to the experimental requirements.
And S8, processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again, and updating the cell structure diagram.
If the cell structures cannot be completely segmented after the connectivity analysis is adopted, the cell structures can be segmented again by adopting a watershed algorithm. The watershed algorithm is most important to have two parts, namely seed points and a curve with the intensity showing peaks and valleys.
Selecting a cell structure in a cell structure chart for creating a Distance Map, wherein the selected structure has a middle bright and nearby low peak-trough intensity curve, selecting all middle bright parts as seed points by adopting threshold segmentation or manual operation, and selecting all bright seed points; and creating and integrating the selected seed points into a Multi-ROI, and performing watershed algorithm processing on the Multi-ROI to obtain independent cell structures.
And S9, performing three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
After a desired cell structure diagram is obtained, three-dimensional modeling is carried out on the cell structure diagram, and parameters such as contrast, brightness, depth of field and the like are adjusted on a three-dimensional interface to achieve a desired effect. When the position, the connection mode and the change process among all cell structures need to be displayed, videos can be made on a 3D interface, and the model can be turned over, cut and the like.
Example 2:
in accordance with the quantification method of example 1, there is provided a quantification system for a wood cell structure, comprising:
the gray scanning image acquisition unit 1 is used for scanning the target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray-scale scanning image set comprises a plurality of gray-scale scanning images with different angles and heights.
The edge detection unit 2 is used for detecting the edge of each gray scanning image by adopting an edge detection algorithm when the target wood belongs to the preset wood species; the preset wood species are wood species sets with unclear cell edge boundaries and small density differences in the gray-scale scanning images.
A gray threshold segmentation unit 3, configured to perform image segmentation on each gray scanning image according to a gray threshold to obtain a threshold segmentation image corresponding to each gray scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds.
The connectivity analysis unit 4 is used for performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; each of the connected regions includes a number of cell structures.
And the fine region removing unit 5 is used for removing the connectivity regions with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
And the cell structure dividing unit 6 is used for dividing the connectivity area comprising a plurality of cell structures into a plurality of independent cell structures by using morphological operations to obtain a cell structure diagram of the target wood.
And a cell structure expansion unit 7 for expanding the incomplete cell structure in the cell structure diagram by using morphological operation.
And the watershed segmentation unit 8 is used for processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again and updating the cell structure diagram.
And the quantitative model establishing unit 9 is used for carrying out three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
Example 3:
in this embodiment, a method for quantifying a wood cell structure provided by the present invention is described with reference to a specific case, as shown in fig. 3, scanning a needle-leaf wood, importing an obtained wood gray image file into three-dimensional processing software, and then performing Sobel edge detection on the wood gray image file to deepen an edge boundary; as shown in fig. 4, the data after the edge detection was measured, and the length, width and circumference of the wood cell were measured. And performing gray threshold segmentation, performing 6 connectivity analysis on the ROI subjected to the threshold primary segmentation to remove small body points to obtain cell cavity and cell wall layer structures, modeling, cutting the three-dimensional interface by using a shape tool to display the interior of the three-dimensional interface, and displaying single tracheids.
Example 4:
in this embodiment, a method for quantifying a wood cell structure provided by the present invention is described with reference to another specific example, as shown in fig. 5, a scanned wood grayscale image file is imported into three-dimensional processing software, and then grayscale threshold segmentation is directly performed, a cell wall region, a cell cavity region, and other regions with close densities are selected by the threshold segmentation, after performing 6 connectivity analysis on an ROI subjected to the threshold primary segmentation, small cell dots and unnecessary portions are removed by morphological erosion operation, and the cell cavity portion is morphologically expanded by 3 individual cell dots to be fuller and fit the cell wall. And modeling is carried out, the brightness is adjusted on the three-dimensional interface, and meanwhile, a single tracheid can be displayed.
Example 5:
in this embodiment, a method for quantifying a wood cell structure provided by the present invention is described with reference to another specific example, as shown in fig. 6, a scanned gray image file of broad-leaf wood is imported into a three-dimensional processing software, because there are many types of broad-leaf wood cells and cell differences are large, a single cell cannot be segmented after connectivity analysis is performed, then a watershed algorithm is used for analysis, the shape of a sample is seen at a 3D interface, the cell distribution condition is known, segmentation is performed on an x-y plane, a threshold segmentation is performed first, a cell cavity is found to be more complete than cell wall segmentation, then the cell cavity is segmented first, but the intensity of the cell cavity is not a curve of a peak and a trough, so we select a cell wall layer, and perform connectivity analysis to remove fine voxels. The intensity of the light wave appears as a curve of peaks and valleys, so the cell wall structure is selected to be subjected to distance map transformation, and the distance map transformation has the effect of enabling the cell wall structure to generate a region with the minimum distance to all parts of the cell near the center of the cell, namely a bright part in the map. And selecting the bright area as a seed point, performing watershed algorithm, displaying on a 3D interface, and extracting and observing a single catheter and wood fiber.
As shown in fig. 7, after the hardwood ductal cell structure was extracted, the ductal volume fraction was calculated, and the grey fraction in the a diagram was 33.32%, and the light grey fraction in the b diagram was 37.17%.
Portions of the technology may be considered "articles" or "articles of manufacture" in the form of executable code and/or associated data, which may be embodied or carried out by a computer readable medium. Tangible, non-transitory storage media may include memory or storage for use by any computer, processor, or similar device or associated module. For example, various semiconductor memories, tape drives, disk drives, or any similar device capable of providing a storage function for software.
All or a portion of the software may sometimes communicate over a network, such as the internet or other communication network. Such communication may load software from one computer device or processor to another. For example: from a server or host computer of the video object detection device to a hardware platform of a computer environment, or other computer environment implementing a system, or similar functionality related to providing information needed for object detection. Thus, another medium capable of transferring software elements may also be used as a physical connection between local devices, such as optical, electrical, electromagnetic waves, etc., propagating through cables, optical cables, air, etc. The physical medium used for the carrier wave, such as an electric, wireless or optical cable or the like, may also be considered as the medium carrying the software. As used herein, unless limited to a tangible "storage" medium, other terms referring to a computer or machine "readable medium" refer to media that participate in the execution of any instructions by a processor.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; those skilled in the art will appreciate that the modules or steps of the invention described above can be implemented using general purpose computing apparatus, or alternatively, they can be implemented using program code executable by computing apparatus, such that it is executed by computing apparatus when stored in a storage device, or separately fabricated into integrated circuit modules, or multiple modules or steps thereof can be fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
Meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A method for quantifying a cell structure of wood, the method comprising:
scanning the target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray scale scanning image set comprises a plurality of gray scale scanning images with different angles and heights;
carrying out image segmentation on each gray scale scanning image according to a gray scale threshold value to obtain a threshold segmentation image corresponding to each gray scale scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds;
performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; the connectivity area comprises a plurality of cell structures;
by using morphological operation, dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures to obtain a cell structure diagram of the target wood;
and carrying out three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
2. The quantification method according to claim 1, wherein when the target wood is scanned by using an X-ray scanning electron microscope, the acceleration voltage of the X-ray scanning electron microscope is 30-60 KV, and the spatial resolution is 700 nm.
3. The quantization method of claim 1, further comprising, prior to said image segmenting the gray scale scanned image by gray scale threshold:
if the target wood belongs to the preset wood species, performing edge detection on the gray scanning image by adopting an edge detection algorithm; the preset wood species are a set of wood species with unclear cell edge boundary and small density difference in the gray-scale scanning image.
4. The quantification method according to claim 1, wherein before the using morphological operations to segment the connected region composed of a plurality of cell structures into a plurality of independent cell structures, the quantification method further comprises:
and rejecting the connectivity area with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
5. The quantification method according to claim 1, wherein after the using morphological operations to segment the connected region comprising a number of cellular structures into a number of independent cellular structures, the quantification method further comprises:
the incomplete cell structure in the cytogram is expanded by morphological operations.
6. The quantification method according to claim 1, wherein after the step of partitioning the connected region comprising the plurality of cell structures into a plurality of independent cell structures by using morphological operations, the quantification method further comprises:
and processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again, and updating the cell structure diagram.
7. A quantification system of a wood cell structure, the quantification system comprising:
the system comprises a gray scanning image acquisition unit, a gray scanning image acquisition unit and a gray scanning image acquisition unit, wherein the gray scanning image acquisition unit is used for scanning target wood by using an X-ray scanning electron microscope to obtain a gray scanning image set of the target wood; the gray scale scanning image set comprises a plurality of gray scale scanning images with different angles and heights;
carrying out image segmentation on each gray scale scanning image according to a gray scale threshold value to obtain a threshold segmentation image corresponding to each gray scale scanning image; the gray threshold comprises a plurality of gray areas which are divided into cell areas and non-cell areas;
performing connectivity analysis on a plurality of gray scale regions in each threshold segmentation image to obtain a connectivity analysis graph corresponding to each threshold segmentation image; the connectivity analysis graph comprises a plurality of connectivity areas; the connectivity area comprises a plurality of cell structures;
the gray threshold segmentation unit is used for carrying out image segmentation on each gray scanning image according to a gray threshold to obtain a threshold segmentation image corresponding to each gray scanning image; the threshold segmentation image comprises a plurality of gray scale areas, and the gray scale areas are divided into cell areas and non-cell areas through gray scale thresholds;
the connectivity analysis unit is used for performing connectivity analysis on a plurality of gray level areas in each threshold segmentation image to obtain a connectivity analysis graph; the connectivity analysis graph comprises a plurality of connectivity areas; each connectivity region comprises a plurality of cell structures;
the cell structure dividing unit is used for dividing a connectivity area comprising a plurality of cell structures into a plurality of independent cell structures by using morphological operations to obtain a cell structure diagram of the target wood;
and the quantitative model establishing unit is used for carrying out three-dimensional modeling according to the cell structure diagram to obtain a wood cell structure quantitative model.
8. The quantization system of claim 7, further comprising:
the edge detection unit is used for detecting the edge of the gray scanning image by adopting an edge detection algorithm when the target wood belongs to a preset wood species; the preset wood species are wood species sets with unclear cell edge boundaries and small density differences in the gray-scale scanning images.
9. The quantization system of claim 7, further comprising:
and the fine region removing unit is used for removing the connectivity region with the volume smaller than the threshold value in the connectivity analysis graph by using morphological operation.
10. The quantization system of claim 7, further comprising:
and the watershed segmentation unit is used for processing the connectivity area after the morphological operation by adopting a watershed algorithm, separating the independent cell structure again and updating the cell structure diagram.
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