CN104792804A - Method for diagnosing internal damage of cereal grains based on micro-CT (computed tomography) technology - Google Patents
Method for diagnosing internal damage of cereal grains based on micro-CT (computed tomography) technology Download PDFInfo
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Abstract
The invention relates to a method for diagnosing internal damage of cereal grains based on a micro-CT (computed tomography) technology. Micro-CT equipment is utilized for performing X-ray micro-CT scanning on unhulled cereal grains, a profile scanning sequence image of a damaged grain is obtained, threshold segmentation is utilized for processing the profile scanning sequence image, three-dimensional images of a grain body and cracks are reconstructed respectively, calculation is performed with a volumetric reconstruction method to obtain the volume of a grain body target and the volume of the cracks, the internal damage degree of the grain is measured based on the volume of the grain body target and the volume of the cracks, the three-dimensional image of the cereal grain body is subjected to multi-angle profile analysis and crack three-dimensional image analysis, a distribution situation of the cracks in the cereal grain is visually represented, and the number and sectional area of cracks are quantified. Due to the adoption of the technical scheme, a structure for analyzing the internal damage degree of the cereal grains is obtained, a three-dimensional internal result image of a sample is further obtained, and the internal damage degree of the cereal grains can be quickly and accurately identified without removing cereal grain hulls and changing shapes and internal structures of the cereal grains.
Description
Technical field
The present invention relates to a kind of evaluation method diagnosing cereal internal injury degree based on Microfocus X-ray CT, a kind of specifically method based on Micro-CT scanning diagnosis of technique cereal internal injury.
Background technology
Be at present main to the diagnosis of cereal internal injury mainly with test qualitative examination or by Physical Experiment analytical approachs such as stereomicroscopes.Existing method of being carried out the diagnosis of cereal internal injury by stereomicroscope, can detect the crack distribution on cereal surface, by cereal projected image, analyzes cereal degree of injury.The method needs the shell abolishing cereal in preparation of samples process, and workload is large, waste time and energy; And this technology only can obtain the cereal projected image of special angle, the inner actual crack morphological feature of the cereal that cannot reduce, cannot truly and all sidedly characterize cereal impaired after microstructure characteristic information in three dimensions, constrain its application in the diagnosis of cereal internal injury for this reason.
The two-dimentional tomography sequence image that Microfocus X-ray CT obtains after referring to and utilizing X ray penetration-detection object, reconstructs 3-D view analysis.Microfocus X-ray CT technology has the advantage not available for microtechnic, without the need to abolishing grain hulls, can carry out tomoscan to complete cereal sample, realizes from three dimensions angle analysis cereal internal injury, more directly perceived and true.And Microfocus X-ray CT has higher resolution, the inner micron-sized crackle of the cereal that identifiable design micro-image is difficult to characterize, overcomes microtechnic and diagnoses mainly for cereal outer damage, be with a wide range of applications.
Summary of the invention
For the deficiency of existing stereomicroscope technology in cereal internal injury, the invention provides a kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury, comprehensive, high-precision diagnostic message can be obtained.
A kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury provided by the invention, comprises the following steps:
Step one, preparation of samples: select cannot observe that the cereal kernel sample of damage is tested from shell;
Step 2, obtains cereal three-dimensional information: first utilize Micro-CT scanning equipment to carry out X ray microscopic CT scanning to cereal kernel, obtain the profile scanning sequence image of impaired seed, and rebuild section sequence image, forms 3-D view;
Step 3, analyze cereal internal injury degree: Threshold segmentation is carried out to cereal tomoscan sequence image, when the threshold value of the tomoscan sequence image of cereal kernel body is equal to or greater than bottom threshold, image is white, being less than lower limit is then black, according to the difference that cereal body and crack threshold value exist, obtain cereal kernel bulk threshold scope, isolate separately the image section of cereal kernel body, reconstruction of three-dimensional images, the volume of cereal kernel cumulative volume and crackle is drawn by pixel statistical computation, the space occupancy of crackle is utilized to weigh the degree of cereal internal injury.
In said method, described cereal kernel, without the need to removing shell, is placed in the sample hose of Micro-CT scanning equipment, many seeds can be placed in each sample hose, sample hose is placed on automatic samplechanger, automatic samplechanger can place 12 sample hoses simultaneously, substantially increase scan efficiency.
In said method, the concrete grammar that described cereal kernel three-dimensional image information obtains is:
Step one, cereal kernel two dimensional image obtains: open the image collection module comprising X ray bulb, detecting device in Micro-CT scanning equipment, the test parameters such as the pixel value of the magnitude of voltage of adjustment X ray bulb, current value and detecting device and time shutter, cereal kernel sample in X-ray transparent sample hose, first need to carry out coarse scanning to sample, fine scanning is carried out after determining scanning exact position, obtain cereal kernel tomography sequence image, image resolution ratio is better than 5 μm, can detect the inner micron-sized fine cracks of seed;
Step 2, cereal kernel two dimensional image process: draw area-of-interest on individual tomography sequence image that Micro-CT scanning device scan obtains, cereal kernel body (not comprising shell) is set as area-of-interest by the present invention, be separated cereal kernel and shell and contextual factor, reduce noise by gaussian filtering; Due to cereal body, composition is substantially identical and even everywhere, grey value difference is little, when the threshold value of the tomoscan sequence image of cereal kernel body is equal to or greater than bottom threshold, image is white, being less than lower limit is then black, according to the difference that cereal body and crack threshold value exist, obtain cereal kernel bulk threshold scope, isolate separately the image section of cereal kernel body;
Step 3, cereal kernel three-dimensional data obtains: utilize Micro-CT scanning equipment image processing module to carry out three-dimensionalreconstruction to the cereal kernel gathered and crackle tomoscan two dimensional image, obtain both 3-D views respectively.
In said method, the specific analytical method of described cereal kernel internal injury degree is:
Step one, cereal kernel internal injury degree quantitative test: Threshold segmentation is carried out to cereal tomography sequence image, after isolating separately cereal kernel body and crackle, Micro-CT scanning image analysis module is utilized to carry out three-dimensionalreconstruction to tomoscan sequence image, form three-dimensional spatial distribution image, counted the area of individual tomoscan image two-story valley thing total area and crackle by pixel, be multiplied by thickness after each layer is cumulative, calculate the volume CV of cereal cumulative volume RV and crackle.Utilize the space occupancy I of cereal kernel underbead crack to characterize cereal degree of injury, space occupancy I is defined as crackle sky
Between the ratio of volume and cereal cumulative volume, its formula is:
Step 2, cereal kernel underbead crack Morphological Quantitative Analysis: from different perspectives profile analysis is carried out to cereal kernel 3-D view, understand the distributed intelligence of cereal underbead crack, cereal crackle 3-D view is counted to the quantity of crackle, obtain single crack projected length by pixel statistical computation.
The invention has the beneficial effects as follows:
1, the present invention adopts Microfocus X-ray CT technology for detection cereal internal injury, by directly observing the 3-D view of each angular profile of seed body 3-D view and crackle, the distributed intelligence of cereal underbead crack can be obtained, judge crack number, drawn the projected length of single crack by pixel statistical computation.
2, the present invention utilizes Microfocus X-ray CT technical limit spacing cereal kernel 3-D view, the characteristic information of Overall Acquisition cereal internal injury, diagnostic accuracy can arrive micron order, thus solve the stereomicroscope detection method of the deficiency only measuring cereal surface crack on two dimensional surface, the present invention utilizes Micro-CT scanning commercial measurement cereal internal injury first, without the need to destroying sample, remain the primitiveness of sample, Threshold segmentation is utilized to isolate separately cereal kernel body and crackle 3-D view, pixel statistical method is utilized to calculate the volume of cereal kernel cumulative volume and crackle, cereal kernel internal injury degree is weighed by the space occupancy of crackle, improve the accuracy of cereal damage check.
3, the present invention utilizes Microfocus X-ray CT technical limit spacing 3-D view, analyzes seed 3-D view sectional view and crackle 3-D view, characterizes crackle more intuitively in cereal external morphology feature, and has quantized crack number, length information.
Accompanying drawing explanation
The hardware system of Fig. 1 cereal damage check of the present invention;
Fig. 2 is individual tomoscan sequence image that Micro-CT scanning equipment obtains;
Fig. 3 is different angles X ray 3-D view after image procossing;
Fig. 4 is cereal underbead crack X ray 3-D view;
Fig. 5 is the sectional view of the inner diverse location of cereal 3-D view.
In figure: 1, X ray bulb; 2, filtrator; 3, sample hose; 4, detecting device; 5, automatic samplechanger; 6, image workstation; 7, X ray.
Embodiment
Paddy rice is that the present invention is further illustrated by reference to the accompanying drawings for example below, but protection scope of the present invention is not limited to this.
The Microfocus X-ray CT equipment adopted in the specific embodiment of the invention consults Fig. 1.The Microfocus X-ray CT equipment shown in Fig. 1 is utilized to gather the tomography sequence scanning image of rice grain, it comprises X ray bulb 1, maximum voltage 90kvp, maximum current 200 μ A, rice grain is placed in sample hose 3, sample hose diameter 9mm, detecting device 4, resolution is 4 μm, can gather the X-ray energy spectrum after point instrumentation and filtrator 2, be transferred in image workstation 6, but sample hose is placed in the body of cabin by automatic samplechanger 5 oneself successively.Wherein point instrumentation and filtrator 2, sample hose 3, detecting device 4 are integrated in closed steel construction cabin body.
Based on a method for Micro-CT scanning diagnosis of technique cereal internal injury, the course of work is specifically carried out according to the following step:
Step one, carries out tomography CT scan by rice grain.Determine that the voltage of X ray bulb, current value are to ensure that the specifically enough energy of X ray penetrates rice grain, determine that the pixel of detecting device and time shutter are to ensure the resolution of image simultaneously.Compare by analysis and determine X ray bulb scanning voltage 45kvp, current value 200 μ A, the pixel 5.0 μm of detecting device and time shutter 700ms, carry out tomoscan to sample.
Step 2, two-dimentional tomoscan sequence image shown in Fig. 2 is obtained after the end of scan, because gathered image comprises a large amount of noises, if directly carry out feature extraction to image, very large false unique point can be produced, therefore on individual tomography sequence image, carry out filtering process first respectively, the present invention reduces noise effectively by Gaussian filter.
Step 3, due to rice grain, composition is substantially identical and even everywhere, grey value difference is little, when the threshold value of the tomoscan sequence image of rice grain is equal to or greater than bottom threshold, image is white, being less than lower limit is then black, according to the difference that cereal body and crack threshold value exist, distinguish seed body and crackle target by Threshold segmentation.
Step 4, after image procossing, based on the geometric configuration of rice grain and the position relationship with background thereof, draw area-of-interest, separating rice seed body and shell and background, carry out three-dimensionalreconstruction, obtain the seed body 3-D view shown in Fig. 3 and the crackle 3-D view shown in Fig. 4, by adding up the area S2 of seed total area S1 and crackle in individual tomoscan image, be multiplied by thickness N and pixel value obtains seed cumulative volume RV=∑ S by cumulative
ithe volume CV=∑ S of N and crackle
jn, then calculates the space occupancy of crackle
seed cumulative volume RV==17.62mm in the embodiment of the present invention
3, the volume CV=3.62mm of crackle
3, calculate the space occupancy Q=20% of crackle, the degree of cereal internal injury can be weighed by this index intuitively.
Simultaneously as Fig. 4 to carry out the profile analysis of different angles to seed 3-D view, the distributed intelligence of understanding cereal underbead crack, can count the quantity totally 6 of crackle by pixel, and the projected length 2.2mm of single crack, 2.47mm, 1.62mm, 1.42mm, 0.47mm, 0.34mm.
Described embodiment is the preferred embodiment of the present invention; but the present invention is not limited to above-mentioned embodiment; when not deviating from flesh and blood of the present invention, any apparent improvement that those skilled in the art can make, replacement or modification all belong to protection scope of the present invention.
Claims (5)
1., based on a method for Micro-CT scanning diagnosis of technique cereal internal injury, it is characterized in that, comprise the steps:
Step one: preparation of samples, selects cannot observe that the cereal kernel sample of damage is tested from shell;
Step 2: obtain cereal kernel three-dimensional information, first utilize Micro-CT scanning equipment to carry out X ray microscopic CT scanning to cereal kernel, obtain the profile scanning sequence image of impaired seed, and rebuild section sequence image, forms 3-D view;
Step 3: analyze cereal kernel internal injury degree, Threshold segmentation is carried out to the cereal kernel tomoscan sequence image that step 2 obtains, when the threshold value of the tomoscan sequence image of seed body is equal to or greater than bottom threshold, image is white, being less than lower limit is then black, according to the difference that seed body and crack threshold value exist, obtain both threshold ranges, isolate separately the image section of seed body and crackle, reconstruction of three-dimensional images, the volume of seed cumulative volume and crackle is drawn by pixel statistics, cereal kernel underbead crack space occupancy can be determined, the degree of cereal internal injury is weighed with this.
2. a kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury according to claim 1, it is characterized in that, described cereal kernel is without the need to removing shell, be placed in the sample hose of Micro-CT scanning equipment, can place many seeds in each sample hose, sample hose is placed on automatic samplechanger.
3. a kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury according to claim 2, is characterized in that, described automatic samplechanger can place 12 sample hoses simultaneously.
4. a kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury according to claim 1, is characterized in that, the concrete grammar that described cereal kernel body three-dimensional image information obtains is:
Step one: obtain cereal kernel two dimensional image, open the image collection module comprising X ray bulb, detecting device in Micro-CT scanning equipment, the test parameters such as the pixel value of the magnitude of voltage of adjustment X ray bulb, current value and detecting device and time shutter, cereal kernel sample in X-ray transparent sample hose, first need to carry out coarse scanning to sample, fine scanning is carried out after determining scanning exact position, obtain cereal kernel tomography sequence image, image resolution ratio is better than 5 μm, can detect the inner micron-sized fine cracks of seed;
Step 2: process cereal kernel two dimensional image, individual tomography sequence image that Micro-CT scanning device scan obtains is reduced by gaussian filtering the noise of area-of-interest; Due to cereal kernel body, composition is substantially identical and even everywhere, grey value difference is little, when the threshold value of the tomoscan sequence image of cereal kernel body is equal to or greater than bottom threshold, image is white, being less than lower limit is then black, according to the difference that cereal kernel body and crack threshold value exist, obtain cereal kernel body and crackle threshold range respectively, draw area-of-interest, cereal kernel body is not comprised shell and is set as area-of-interest, be separated cereal kernel and shell and contextual factor;
Step 3: obtain cereal kernel three-dimensional data: utilize Micro-CT scanning equipment image processing module to carry out three-dimensionalreconstruction to the cereal kernel body gathered and crackle tomoscan two dimensional image, obtain seed and crackle 3-D view respectively.
5. a kind of method based on Micro-CT scanning diagnosis of technique cereal internal injury according to claim 1, is characterized in that, described cereal internal injury degree specific analytical method is:
Step one: cereal kernel internal injury degree quantitative test, Threshold segmentation is carried out to cereal kernel tomography sequence image, after isolating separately cereal body and crackle, Micro-CT scanning image analysis module is utilized to carry out three-dimensionalreconstruction to tomoscan sequence image, form three-dimensional spatial distribution image, the volume CV of cereal cumulative volume RV and crackle is calculated by volume reconstruction method, the space occupancy I of cereal kernel underbead crack is utilized to characterize cereal degree of injury, space occupancy I is defined as the ratio of crackle spatial volume and cereal overall volume, and its formula is:
Step 2: cereal kernel underbead crack Morphological Quantitative Analysis, from different perspectives profile analysis is carried out to cereal kernel 3-D view, understand cereal underbead crack Two dimensional Distribution information, Threshold segmentation is carried out to cereal kernel tomography sequence image, obtain crackle 3-D view, count the quantity of crackle, obtained the projected length of single crack by pixel statistical computation.
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Cited By (14)
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| CN106885812A (en) * | 2017-03-28 | 2017-06-23 | 江苏大学 | Seedling alms bowl damage testing method and apparatus during a kind of crop seedling clamping seedling taking based on CT technologies |
| CN107064188A (en) * | 2017-05-19 | 2017-08-18 | 江苏大学 | A kind of cereal varying load internal injury detection method and device |
| CN107392992A (en) * | 2017-06-26 | 2017-11-24 | 北京农业信息技术研究中心 | Corn stipes vascular bundle three-dimensional modeling method |
| CN107610122A (en) * | 2017-09-30 | 2018-01-19 | 华北水利水电大学 | Insect pest detection method inside a kind of single grain cereal based on Micro CT |
| CN108051459A (en) * | 2017-12-07 | 2018-05-18 | 齐鲁工业大学 | A kind of Micro-CT scanning Multi-example test processing method |
| CN108195724A (en) * | 2017-12-04 | 2018-06-22 | 北京农业信息技术研究中心 | The measuring method and measuring device of grain composition content |
| CN109003261A (en) * | 2018-06-29 | 2018-12-14 | 北京科技大学 | Heterogeneous phase three-dimensional construction method and device |
| CN110310296A (en) * | 2019-04-19 | 2019-10-08 | 武汉理工大学 | A kind of method that core-shell structure complex microsphere hole three-dimensional structure nucleocapsid distinguishes characterization |
| CN111024737A (en) * | 2019-12-31 | 2020-04-17 | 湖南农业大学 | Rice chalkiness three-dimensional determination method based on Micro-CT |
| CN111599006A (en) * | 2020-05-22 | 2020-08-28 | 山东农业大学 | Three-dimensional reconstruction method and system for internal cracks of corn seeds |
| CN112686877A (en) * | 2021-01-05 | 2021-04-20 | 同济大学 | Binocular camera-based three-dimensional house damage model construction and measurement method and system |
| CN113447502A (en) * | 2021-06-25 | 2021-09-28 | 河南工业大学 | Grain impurity content detection method |
| CN113984524A (en) * | 2021-10-28 | 2022-01-28 | 西安石油大学 | Building material compression resistance and damage dynamic testing method based on CT scanning |
| US11564349B2 (en) | 2018-10-31 | 2023-01-31 | Deere & Company | Controlling a machine based on cracked kernel detection |
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| CN106885812A (en) * | 2017-03-28 | 2017-06-23 | 江苏大学 | Seedling alms bowl damage testing method and apparatus during a kind of crop seedling clamping seedling taking based on CT technologies |
| CN106885812B (en) * | 2017-03-28 | 2020-07-31 | 江苏大学 | Crop seedling pot damage detection method based on CT technology |
| CN107064188A (en) * | 2017-05-19 | 2017-08-18 | 江苏大学 | A kind of cereal varying load internal injury detection method and device |
| CN107392992A (en) * | 2017-06-26 | 2017-11-24 | 北京农业信息技术研究中心 | Corn stipes vascular bundle three-dimensional modeling method |
| CN107610122A (en) * | 2017-09-30 | 2018-01-19 | 华北水利水电大学 | Insect pest detection method inside a kind of single grain cereal based on Micro CT |
| CN107610122B (en) * | 2017-09-30 | 2020-07-28 | 华北水利水电大学 | Micro-CT-based single-grain cereal internal insect pest detection method |
| CN108195724A (en) * | 2017-12-04 | 2018-06-22 | 北京农业信息技术研究中心 | The measuring method and measuring device of grain composition content |
| CN108195724B (en) * | 2017-12-04 | 2020-06-30 | 北京农业信息技术研究中心 | Measuring method and measuring device for grain component content |
| CN108051459A (en) * | 2017-12-07 | 2018-05-18 | 齐鲁工业大学 | A kind of Micro-CT scanning Multi-example test processing method |
| CN109003261A (en) * | 2018-06-29 | 2018-12-14 | 北京科技大学 | Heterogeneous phase three-dimensional construction method and device |
| US11564349B2 (en) | 2018-10-31 | 2023-01-31 | Deere & Company | Controlling a machine based on cracked kernel detection |
| CN110310296A (en) * | 2019-04-19 | 2019-10-08 | 武汉理工大学 | A kind of method that core-shell structure complex microsphere hole three-dimensional structure nucleocapsid distinguishes characterization |
| CN111024737A (en) * | 2019-12-31 | 2020-04-17 | 湖南农业大学 | Rice chalkiness three-dimensional determination method based on Micro-CT |
| CN111599006A (en) * | 2020-05-22 | 2020-08-28 | 山东农业大学 | Three-dimensional reconstruction method and system for internal cracks of corn seeds |
| CN112686877A (en) * | 2021-01-05 | 2021-04-20 | 同济大学 | Binocular camera-based three-dimensional house damage model construction and measurement method and system |
| CN112686877B (en) * | 2021-01-05 | 2022-11-11 | 同济大学 | Binocular camera-based three-dimensional house damage model construction and measurement method and system |
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