CN107290342A - A kind of timber varieties of trees classification discrimination method and system based on cell analysis - Google Patents
A kind of timber varieties of trees classification discrimination method and system based on cell analysis Download PDFInfo
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- CN107290342A CN107290342A CN201710322556.6A CN201710322556A CN107290342A CN 107290342 A CN107290342 A CN 107290342A CN 201710322556 A CN201710322556 A CN 201710322556A CN 107290342 A CN107290342 A CN 107290342A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
- G06T2207/10061—Microscopic image from scanning electron microscope
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
Abstract
The invention discloses a kind of timber varieties of trees classification discrimination method based on cell analysis and system, this method comprises the following steps：Obtain the multiple Wooden slices and corresponding image of timber to be sorted；The image of each Wooden slice is pre-processed；Feature extraction is carried out to the image by pretreated each Wooden slice respectively and corresponding feature extraction result is obtained；The feature extraction result of each Wooden slice feature extraction result corresponding with default identification model in system is compared and the seeds classification of timber to be sorted is drawn；Timber data information is obtained in timber data bank according to corresponding to the seeds classification of timber to be sorted from it and user is shown to.The present invention is greatly improved the efficiency of timber varieties of trees discriminating, retrieval time, manpower and materials cost when reduction timber varieties of trees classification differentiates.
Description
Technical field
Asked the present invention relates to a kind of classification of timber varieties of trees, more particularly to a kind of timber varieties of trees classification based on cell analysis
Topic.
Background technology
Timber varieties of trees is identified by inside and outside portion's feature of timber to recognize a kind of applicable technology of seeds, in timber life
Into, circulation and use during play very important effect.Timber knows method for distinguishing and is broadly divided into macroscopic view identification and microcosmic knowledge
Not.Macroscopic view identification is that, according to the gross structure of wood characterization timber seen under naked eyes or magnifying glass, this method is accurate
Property is poor, can only typically identify the classification of timber.Microcosmic identification refers in light microscope or observed under electron microscope wood
Material cellular morphology and its cell wall feature, the method for timber is identified with microscopic feature can identify the seeds of timber, the degree of accuracy compared with
It is high.
The mode of current wood identification is mainly to be observed by the both macro and micro construction to timber, according to timber solution
Feature (such as constituting the cell of timber and the form and arrangement mode of tissue) is cutd open to be analyzed, retrieved and made preliminary judgement,
Then compared with the Wood specimen correctly named or section, it is such as consistent, you can by the wood identification to category, class or seeds.But
Because the timber quantity on lumber market is more, classification, category, section it is various, also domestic, import, such species is numerous
Many, the workload of discriminating is very big, cumbersome；Meanwhile, discriminating personnel are also required for higher requirement, it is desirable to be able to accurate observation
With the both macro and micro feature of description timber, using the identification card and computer software of auxiliary, pertinent texts are expertly searched
With data, accurately qualification result can be just drawn.
Certainly, recently as the development of science and technology, foreign countries also have by chemical property to recognize timber, such as
DNA technique, near infrared technology etc., but be due to that its process is cumbersome, excessively high etc. reason of cost, extensively should it can't carry out at present
With popularization.
The content of the invention
In order to overcome the deficiencies in the prior art, an object of the present invention is to provide a kind of timber based on cell analysis
Seeds classification discrimination method, it can solve the problem that the workload that the seeds of timber in the prior art differentiate is big, cost is high, process is cumbersome
The problem of.
The second object of the present invention is a kind of timber varieties of trees classification identification system based on cell analysis, and it can solve the problem that
The problem of workload of the seeds discriminating of timber is big in the prior art, cost is high, process is cumbersome.
An object of the present invention adopts the following technical scheme that realization：
A kind of timber varieties of trees classification discrimination method based on cell analysis, comprises the following steps：
Obtaining step, obtains the multiple Wooden slices and corresponding image of timber to be sorted；
Pre-treatment step, is pre-processed to the image of each Wooden slice；
Characteristic extraction step, carries out feature extraction to the image by pretreated each Wooden slice respectively and obtains
Corresponding feature extraction result；
Identification step, by the feature extraction result of each Wooden slice spy corresponding with default identification model in system
Extraction result is levied to be compared and draw the seeds classification of timber to be sorted；
Timber is obtained in step display, the timber data bank according to corresponding to the seeds classification of the timber to be sorted from it
Data information is simultaneously shown to user.
Preferably, the image of Wooden slice is that each Wooden slice is amplified after certain multiple by electron microscope
Obtain.
Preferably, the Wooden slice is respectively cross section, tangential section and radial longitudinal section；The image in wherein cross section is logical
Cross electron microscope to obtain cross section amplification for 20 times, tangential image is to amplify 50 times to tangential section by electron microscope
Obtain, the image of radial longitudinal section is to amplify 50 times to radial longitudinal section by electron microscope to obtain.
Preferably, the method that the pre-treatment step is alignd specifically by barycenter and linear difference is amplified, will each wood
The image of material section is normalized, so that the image of each Wooden slice to be converted to the image of unified specification.
Preferably, the characteristic extraction step is specially the grid that the image of each Wooden slice is divided into M*N first
Region, then calculates the Density Distribution at each grid midpoint, finally gives the M*N dimensional feature vectors of each Wooden slice.
Preferably, the identification step is specially when default identification mould in the characteristic vector and system of each Wooden slice
When the similarity of the characteristic vector of the corresponding Wooden slice of one of which seeds reaches more than 80% in type, timber to be sorted
Classification is the classification of correspondence seeds.
Preferably, the M=N=5.
Preferably, the identification model is the characteristic vector of the corresponding all Wooden slices of each seeds pre-established
Storehouse.
The second object of the present invention adopts the following technical scheme that realization：
A kind of timber varieties of trees classification identification system based on cell analysis, including：
Acquisition module, multiple Wooden slices and corresponding image for obtaining timber to be sorted；
Pretreatment module, is pre-processed for the image to each Wooden slice；
Characteristic extracting module, for respectively to carrying out feature extraction simultaneously by the image of pretreated each Wooden slice
Obtain corresponding feature extraction result；
Identification module, for the feature extraction result of each Wooden slice is corresponding with default identification model in system
Feature extraction result be compared and draw the seeds classification of timber to be sorted；
Display module, for according to the seeds classification of the timber to be sorted from it corresponding to timber data bank in obtain
Timber data information is simultaneously shown to user.
Compared with prior art, the beneficial effects of the present invention are：
The present invention learns sample and the section of all kinds of timber by machine by using image recognition technology, sets up wood
Wood species recognizes storehouse, realizes to the affiliated seeds automatic recognition classification of various timber, effectively increases the efficiency of timber varieties of trees identification
And accuracy rate, shorten the artificial manpower and materials cost for comparing retrieval time, greatly reducing the seeds discriminating of timber.
Brief description of the drawings
The method flow diagram for the timber varieties of trees classification discrimination method based on cell analysis that Fig. 1 provides for the present invention；
The system module figure for the timber varieties of trees classification identification system based on cell analysis that Fig. 2 provides for the present invention；
Amplify 20 times of cell distribution maps in the cross section of the timber for the Chinese hemlock spruce that Fig. 3 provides for the present invention；
The tangential section of the timber for the Chinese hemlock spruce that Fig. 4 provides for the present invention amplifies 50 times of cell distribution maps；
The radial longitudinal section of the timber for the Chinese hemlock spruce that Fig. 5 provides for the present invention amplifies 50 times of cell distribution maps.
Embodiment
Below, with reference to accompanying drawing and embodiment, the present invention is described further, it is necessary to which explanation is, not
Under the premise of afoul, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
A kind of timber varieties of trees classification discrimination method based on cell analysis, as shown in figure 1, comprising the following steps：
S1, the multiple Wooden slices and corresponding image for obtaining timber to be sorted.
It is multiple Wooden slices first by treating of wood to be sorted, Wooden slice is respectively cross section, tangential section and quarter sawing
Face.Then each Wooden slice is amplified to the correspondence image that Wooden slice is obtained after certain multiple by electron microscope.Such as,
As shown in figure 3, cross section is to amplify 20 times by electron microscope；As shown in figure 4, tangential section is by electron microscope amplification 50
Times；As shown in figure 5, radial longitudinal section amplifies 50 times by electron microscope.
S2, the image to each Wooden slice are pre-processed；
Before Wooden slice is identified, the image of each Wooden slice is pre-processed first, to improve system
To the recognition performance of the image of Wooden slice.The process of pretreatment is to set rational threshold value according to the image to Wooden slice,
By image binaryzation, remove noise spot.The method amplified by barycenter to itself and linear difference is that is to say, by Wooden slice image
Normalization, and be converted to the image of unified specification.
S3, obtain corresponding spy to carrying out feature extraction processing by the image of pretreated each Wooden slice respectively
Levy vector.
Due to different tree species, cell in the image of its corresponding Wooden slice, the texture of the space density of cell wall, pattern,
The arrangement such as shape situation feature is different.Therefore, it is that certain dimension is extracted from Wooden slice image during feature extraction
Cell, the arrangement situation of cell wall in image of several characteristic vectors to embody Wooden slice, so as to improve type matching and knowledge
Other amount of storage and arithmetic speed.It that is to say, Wooden slice image is divided into M*N grid spaces first, then calculate every
The Density Distribution at individual grid midpoint, so as to obtain M*N dimensional feature vectors.Wherein in the present invention preferably, M=N=5 that is to say
Feature extraction is carried out to the image of each Wooden slice, so as to obtain 25 dimensional feature vectors of each Wooden slice.
S4, corresponding with the identification model prestored in system the characteristic vector of the characteristic vector of each Wooden slice carried out
Compare, so as to draw the seeds classification of timber to be sorted.
Identification model be by machine learning and recognition training, the Wooden slice corresponding to every kind of timber pre-established
The set of characteristic vector, and the seeds classification of every kind of timber is also known.It that is to say, a large amount of existing seeds are corresponding
The image of multiple Wooden slices of timber is pre-processed and feature extraction and carries out recognition training, so as to set up timber correspondence
The identification model storehouse of seeds.Wherein recognition training is to extract master die from the image of the Wooden slice of each seeds of training set
Plate, that is to say the process for setting up standard feature storehouse；Each seeds have many standard forms.Carried by pretreatment and feature
Take, the characteristic vector of the corresponding Wooden slice image of each seeds in training set is deposited into corresponding file.In training, need
Indicate the correct seeds classification of every kind of timber.The seeds classification of signified timber is referred to corresponding to the timber in the present invention
Seeds title, such as hemlock, its corresponding seeds classification is Chinese hemlock spruce.
By the Wooden slice image of seeds to be identified, corresponding characteristic vector is obtained after pretreatment and feature extraction,
Then by the Wooden slice corresponding to each the seeds classification stored in the characteristic vector and file of each Wooden slice
Characteristic vector, which is compared, draws comparison result.Preferably, by the characteristic vector of each Wooden slice and identification mould in the present invention
The characteristic vector of corresponding Wooden slice does similarity comparison in type；When the similarity comparison of the characteristic vector of each Wooden slice
Reach the value specified, then it is assumed that the seeds classification of the timber to be sorted and the seeds corresponding to the Wooden slice in identification model
Classification is identical.
In other words, the Wooden slice of each seeds classification that is stored with identification model correspondence timber, and each
Characteristic vector corresponding to Wooden slice, the Wooden slice corresponding to the timber of each seeds classification is respectively cross section, string
Three kinds of tangent plane and radial longitudinal section.Such as, for seeds A, the Wooden slice of its timber is respectively cross section a1, tangential section a2, footpath
Tangent plane a3, the characteristic vector that above three Wooden slice obtains corresponding to the a1 of cross section after pretreatment and feature extraction is
Characteristic vector corresponding to b1, tangential section a2 is that the characteristic vector corresponding to b2, radial longitudinal section a3 is b3.So, when appearance one
During the timber C of new unknown seeds, section is also carried out first by timber C for cross section c1, tangential section c2, radial longitudinal section c3, and it is right
Each section obtains corresponding characteristic vector for c11, c22, c33 after pretreatment and feature extraction；Then by feature to
Amount c11 and characteristic vector b1 make similarity comparison, characteristic vector c22 and characteristic vector b2 made to similarity comparison, by feature to
Amount c33 and characteristic vector b3 makees similarity comparison, when three similarity results reach more than 80%, is then considered as the new wood
Material C classification is seeds A.
Timber data information is obtained in S5, the timber data bank according to corresponding to the seeds classification of timber to be sorted from it simultaneously
It is shown to user.
Every kind of seeds classification corresponds to a timber data bank, and which stores the data of the timber of every kind of seeds classification letter
Breath, such as including timber generic, seeds title, the place of production, tree habit, timber principal character, characteristic image, material with using
Way etc..The data information of timber to be identified finally is shown into user to check.
A kind of timber varieties of trees classification identification system based on cell analysis, as shown in Fig. 2 including：
Acquisition module, multiple Wooden slices and corresponding image for obtaining timber to be sorted；
Pretreatment module, is pre-processed for the image to each Wooden slice；
Characteristic extracting module, for respectively to carrying out feature extraction simultaneously by the image of pretreated each Wooden slice
Obtain corresponding feature extraction result；
Identification module, for the feature extraction result of each Wooden slice is corresponding with default identification model in system
Feature extraction result be compared and draw the seeds classification of timber to be sorted；
Display module, for according to the seeds classification of the timber to be sorted from it corresponding to timber data bank in obtain
Timber data information is simultaneously shown to user.
Above-mentioned embodiment is only the preferred embodiment of the present invention, it is impossible to limit the scope of protection of the invention with this,
The change and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed scope.
Claims (9)
1. a kind of timber varieties of trees classification discrimination method based on cell analysis, it is characterised in that comprise the following steps：
Obtaining step, obtains the multiple Wooden slices and corresponding image of timber to be sorted；
Pre-treatment step, is pre-processed to the image of each Wooden slice；
Characteristic extraction step, carries out feature extraction to the image by pretreated each Wooden slice respectively and obtains correspondence
Feature extraction result；
Identification step, the feature extraction result of each Wooden slice feature corresponding with default identification model in system is carried
Take result to be compared and draw the seeds classification of timber to be sorted；
Timber data is obtained in step display, the timber data bank according to corresponding to the seeds classification of the timber to be sorted from it
Information is simultaneously shown to user.
2. the timber varieties of trees classification discrimination method as claimed in claim 1 based on cell analysis, it is characterised in that：Wooden slice
Image is amplified after certain multiple to each Wooden slice by electron microscope and obtained.
3. the timber varieties of trees classification discrimination method as claimed in claim 2 based on cell analysis, it is characterised in that：The timber is cut
Piece is respectively cross section, tangential section and radial longitudinal section；The image in wherein cross section is that cross section is amplified by electron microscope
20 times obtain, and tangential image is to amplify 50 times to tangential section by electron microscope to obtain, and the image of radial longitudinal section is to pass through
Electron microscope amplifies 50 times to radial longitudinal section and obtained.
4. the timber varieties of trees classification discrimination method as claimed in claim 1 based on cell analysis, it is characterised in that：The pretreatment
The method that step is alignd specifically by barycenter and linear difference is amplified, place is normalized by the image of each Wooden slice
Reason, so that the image of each Wooden slice to be converted to the image of unified specification.
5. the timber varieties of trees classification discrimination method as claimed in claim 1 based on cell analysis, it is characterised in that：The feature is carried
It is specially that the image of each Wooden slice is divided into M*N grid spaces first to take step, then calculates each grid midpoint
Density Distribution, finally give the M*N dimensional feature vectors of each Wooden slice.
6. the timber varieties of trees classification discrimination method as claimed in claim 5 based on cell analysis, it is characterised in that：The identification step
Rapid is specially the corresponding wood of the characteristic vector when each Wooden slice and one of which seeds in default identification model in system
When the similarity of the characteristic vector of material section reaches more than 80%, the classification of timber to be sorted is the classification of correspondence seeds.
7. the timber varieties of trees classification discrimination method as claimed in claim 5 based on cell analysis, it is characterised in that：The M=N=
5。
8. the timber varieties of trees classification discrimination method as claimed in claim 1 based on cell analysis, it is characterised in that：The identification mould
Type is the characteristic vector storehouse of the corresponding all Wooden slices of each seeds pre-established.
9. a kind of timber varieties of trees classification identification system based on cell analysis, it is characterised in that including：
Acquisition module, multiple Wooden slices and corresponding image for obtaining timber to be sorted；
Pretreatment module, is pre-processed for the image to each Wooden slice；
Characteristic extracting module, for carrying out feature extraction to the image by pretreated each Wooden slice respectively and obtaining
Corresponding feature extraction result；
Identification module, for by the feature extraction result of each Wooden slice spy corresponding with default identification model in system
Extraction result is levied to be compared and draw the seeds classification of timber to be sorted；
Display module, for according to the seeds classification of the timber to be sorted from it corresponding to timber data bank in obtain timber
Data information is simultaneously shown to user.
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| CN108171255A (en) * | 2017-11-22 | 2018-06-15 | 广东数相智能科技有限公司 | Picture association intensity ratings method and device based on image identification |
| CN108256550A (en) * | 2017-12-14 | 2018-07-06 | 北京木业邦科技有限公司 | A kind of timber classification update method and device |
| CN109145955A (en) * | 2018-07-26 | 2019-01-04 | 中国林业科学研究院木材工业研究所 | A kind of Wood Identification Method and system |
| CN110348277A (en) * | 2018-11-30 | 2019-10-18 | 浙江农林大学 | A kind of tree species image-recognizing method based under natural background |
| CN112149630A (en) * | 2020-10-20 | 2020-12-29 | 云南省林业和草原科学院 | Wood microscopic identification system |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171255A (en) * | 2017-11-22 | 2018-06-15 | 广东数相智能科技有限公司 | Picture association intensity ratings method and device based on image identification |
| CN108256550A (en) * | 2017-12-14 | 2018-07-06 | 北京木业邦科技有限公司 | A kind of timber classification update method and device |
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| CN110348277A (en) * | 2018-11-30 | 2019-10-18 | 浙江农林大学 | A kind of tree species image-recognizing method based under natural background |
| CN112684158A (en) * | 2020-03-13 | 2021-04-20 | 中国林业科学研究院林业新技术研究所 | On-site identification method and device for common tree species of historic building wood members |
| CN112149630A (en) * | 2020-10-20 | 2020-12-29 | 云南省林业和草原科学院 | Wood microscopic identification system |
| CN113177908A (en) * | 2021-04-01 | 2021-07-27 | 柳城县迪森人造板有限公司 | Identification method and device for solid wood ecological plate |
| CN113177908B (en) * | 2021-04-01 | 2022-11-25 | 柳城县迪森人造板有限公司 | Identification method and device for solid wood ecological plate |
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