CN104568749A - Objective surface material identification method, device and identification equipment and system - Google Patents
Objective surface material identification method, device and identification equipment and system Download PDFInfo
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- CN104568749A CN104568749A CN201310512792.6A CN201310512792A CN104568749A CN 104568749 A CN104568749 A CN 104568749A CN 201310512792 A CN201310512792 A CN 201310512792A CN 104568749 A CN104568749 A CN 104568749A
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Abstract
The invention discloses an objective surface material identification method, a device and identification equipment and a system. The method comprises following steps: acquiring an image of a to-be-identified objective surface acquired by a camera; performing texture identification on the image, determining the material class of the to-be-identified objective surface from a plurality of preset material classes; then acquiring the spectral features of featured light emitted from the to-be-identified objective surface through specified light radiation; comparing the spectral features corresponding to the materials included in the material class respectively with the spectral features, to determine the material of the to-be-identified objective surface. By adopting the scheme provided by the embodiment of the invention, the volume of high-precision objective surface material identification equipment can be reduced compared with the prior art.
Description
Technical field
The present invention relates to Material Identification technical field and field of computer technology, particularly relate to a kind of article surface Material Identification method, device and identification equipment and system.
Background technology
The material of current all kinds of article is varied, the recognition capability of people to material is limited, be easy to cause and mix the spurious with the genuine, spectral matching factor technology is Material Identification technology more accurate at present, when spectral matching factor utilizes the sun or artificial radiation source to irradiate material surface, the regularity that unlike material surface reflection, radiation and electromagnetic wave absorption present is to identify material kind.
Spectral matching factor technology utilizes spectrometric instrument to carry out the identification of material, but high-precision spectrometric instrument is because testing process is complicated, database is huge, causes bulky, expensive, cannot obtain wide popularization and application.
Summary of the invention
The embodiment of the present invention provides a kind of article surface Material Identification method, device and identification equipment and system, in order to solve the larger problem of the high-precision Material Identification equipment volume that exists in prior art.
The embodiment of the present invention provides a kind of article surface Material Identification method, comprising:
Obtain the image by the article surface to be identified of camera collection;
By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified;
Obtain the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate;
Compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determine the material of described article surface to be identified.
The method that the embodiment of the present invention provides, after obtaining the image by the article surface to be identified of camera collection; By carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified; Then the spectral signature of the feature light that this article surface to be identified is launched after specifying light to irradiate is obtained; And by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding is respectively compared, determine the material of this article surface to be identified, in the method, texture recognition is combined with spectral matching factor, texture recognition goes out roughly classification to material preliminary judgement, make spectral matching factor in less database, namely can complete the comparison of characteristic spectrum, the combination of the two both ensure that the precision of identification, the volume of equipment can not be made again excessive, reduce the volume of high-precision article surface Material Identification equipment.
Further, by carrying out texture recognition to described image, from the multiple material classifications preset, before determining the material classification belonging to described article surface to be identified, also comprise:
Determine that the pixel value of described image presents regularity distribution.
Like this, the article surface to be identified of acquisition can be avoided image blurring, the texture recognition of image cannot be used for, or cause the result of texture recognition to have deviation.
Further, by carrying out texture recognition to described image, from the multiple material classifications preset, determining the material classification belonging to described article surface to be identified, specifically comprising:
Texture recognition is carried out to described image, obtains the textural characteristics of described image;
The textural characteristics that described textural characteristics is corresponding with the multiple material classifications preset respectively compares, and obtains the multiple texture comparative results corresponding respectively with described multiple material classification;
According to described multiple texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from described multiple material classification, as material classification belonging to described article surface to be identified.
Like this, carrying out texture recognition by treating identify objects surface image, can obtain the roughly classification of material, is the preliminary judgement treating identify objects material.
Further, compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determine the material of described article surface to be identified, specifically comprise:
The spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively compares, and obtains the multiple spectrum comparative results corresponding respectively with described each material;
According to described multiple spectrum comparative result, determine that material that in described each material, immediate spectrum comparative result is corresponding is the material of described article surface to be identified.
Like this, based on the article surface material classification that above-mentioned texture recognition determines, the more concrete material of article surface to be identified is determined further by spectral matching factor.
The embodiment of the present invention also provides a kind of article surface Material Identification device, comprising:
Image acquisition unit, for obtaining the image of the article surface to be identified by camera collection;
Texture recognition unit, for by carrying out texture recognition to described image, from the multiple material classifications preset, determines material classification belonging to described article surface to be identified;
Feature acquiring unit, for obtaining the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate;
Material determining unit, for being compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determines the material of described article surface to be identified.
In the device that the embodiment of the present invention provides, after obtaining the image by the article surface to be identified of camera collection; By carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified; Then the spectral signature of the feature light that this article surface to be identified is launched after specifying light to irradiate is obtained; And by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding is respectively compared, determine the material of this article surface to be identified, in the method, texture recognition is combined with spectral matching factor, texture recognition goes out roughly classification to material preliminary judgement, make spectral matching factor in less database, namely can complete the comparison of characteristic spectrum, the combination of the two both ensure that the precision of identification, the volume of equipment can not be made again excessive, reduce the volume of high-precision article surface Material Identification equipment.
Further, texture recognition unit, also for by carrying out texture recognition to described image, from the multiple material classifications preset, before determining the material classification belonging to described article surface to be identified, determines that the pixel value of described image presents regularity distribution.
Like this, the article surface to be identified of acquisition can be avoided image blurring, the texture recognition of image cannot be used for, or cause the result of texture recognition to have deviation.
Further, texture recognition unit, specifically for carrying out texture recognition to described image, obtains the textural characteristics of described image; And the textural characteristics that described textural characteristics is corresponding with the multiple material classifications preset respectively is compared, obtain the multiple texture comparative results corresponding respectively with described multiple material classification; And according to described multiple texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from described multiple material classification, as material classification belonging to described article surface to be identified.
Like this, carrying out texture recognition by treating identify objects surface image, can obtain the roughly classification of material, is the preliminary judgement treating identify objects material.
Further, material determining unit, compares specifically for the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, obtains the multiple spectrum comparative results corresponding respectively with described each material; And according to described multiple spectrum comparative result, determine that material that in described each material, immediate spectrum comparative result is corresponding is the material of described article surface to be identified.
Like this, based on the article surface material classification that above-mentioned texture recognition determines, the more concrete material of article surface to be identified is determined further by spectral matching factor.
The embodiment of the present invention also provides a kind of Material Identification equipment, comprising: above-mentioned article surface Material Identification device, camera and light emission receiving trap, wherein:
Described camera, for taking article surface to be identified, obtains the image of described article surface to be identified;
Described light emission receiving trap, specifies light to irradiate described article surface to be identified for launching, and receives the feature light of described article surface to be identified transmitting after described appointment light irradiates.
Adopt the Material Identification equipment that the embodiment of the present invention provides, after obtaining the image by the article surface to be identified of camera collection; By carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified; Then the spectral signature of the feature light that this article surface to be identified is launched after specifying light to irradiate is obtained; And by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding is respectively compared, determine the material of this article surface to be identified, in the method, texture recognition is combined with spectral matching factor, texture recognition goes out roughly classification to material preliminary judgement, make spectral matching factor in less database, namely can complete the comparison of characteristic spectrum, the combination of the two both ensure that the precision of identification, the volume of equipment can not be made again excessive, reduce the volume of high-precision article surface Material Identification equipment.
The embodiment of the present invention also provides a kind of article surface Material Identification system, comprising: Material Identification equipment and far-end server, wherein:
Described Material Identification equipment, for obtaining the image of the article surface to be identified by camera collection; By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified; Obtain the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate; Distally server sends described spectral signature, and the material information of the material of the article surface described to be identified determined by described spectral signature receiving that described far-end server returns;
Described far-end server, for receiving the described spectral signature that described Material Identification equipment sends, the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises compares, determine the material of described article surface to be identified, and the described material information of the material determined is back to described Material Identification equipment.
Adopt the article surface Material Identification system that the embodiment of the present invention provides, after obtaining the image by the article surface to be identified of camera collection; By carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified; Then the spectral signature of the feature light that this article surface to be identified is launched after specifying light to irradiate is obtained; And by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding is respectively compared, determine the material of this article surface to be identified, in the method, texture recognition is combined with spectral matching factor, texture recognition goes out roughly classification to material preliminary judgement, make spectral matching factor in less database, namely can complete the comparison of characteristic spectrum, the combination of the two both ensure that the precision of identification, the volume of equipment can not be made again excessive, reduce the volume of high-precision article surface Material Identification equipment.
The further feature of the application and advantage will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the application.The object of the application and other advantages realize by structure specifically noted in write instructions, claims and accompanying drawing and obtain.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, is used from explanation the present invention, is not construed as limiting the invention with the embodiment of the present invention one.In the accompanying drawings:
One of process flow diagram of the article surface Material Identification method that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 carries out the process flow diagram of texture recognition for article surface material that the embodiment of the present invention 1 provides;
Fig. 3 carries out the process flow diagram of spectral matching factor for article surface material that the embodiment of the present invention 1 provides;
The process flow diagram two of the article surface Material Identification method that Fig. 4 provides for the embodiment of the present invention 2;
The structural representation of the article surface Material Identification device that Fig. 5 provides for the embodiment of the present invention 3;
The structural representation of the Material Identification equipment that Fig. 6 provides for the embodiment of the present invention 3;
The structural representation of the article surface Material Identification system that Fig. 7 provides for the embodiment of the present invention 4.
Embodiment
In order to provide the implementation of the volume reducing high-precision Material Identification equipment, embodiments provide a kind of article surface Material Identification method, device and identification equipment, below in conjunction with Figure of description, the preferred embodiments of the present invention are described, be to be understood that, preferred embodiment described herein, only for instruction and explanation of the present invention, is not intended to limit the present invention.And when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
The embodiment of the present invention provides a kind of article surface Material Identification method, as shown in Figure 1, comprising:
Step 101, obtain the image of the article surface to be identified by camera collection.
Step 102, by carrying out texture recognition to this image, from preset multiple material classifications, determine material classification belonging to this article surface to be identified.
Step 103, obtain the spectral signature of feature light that this article surface to be identified launches after specifying light to irradiate.
Step 104, by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding respectively being compared, determine the material of this article surface to be identified.
Further, when camera collection article surface image to be identified, may affect due to extraneous various factors, illumination, camera is shaken, wide-long shot etc., cause collected image blurring, the texture recognition of image cannot be used for, therefore by carrying out texture recognition to this image, from the multiple material classifications preset, before determining this material classification belonging to article surface to be identified, can also determine whether the pixel value of this image presents regularity distribution, if the pixel value of image presents regularity distribution, then represent that this image can be used for Material Identification, and enter above-mentioned steps 102, if the pixel value of image does not present regularity distribution, need camera Resurvey.When the image guaranteeing that camera gathers can be used for Material Identification, the above-mentioned the judgement whether pixel value of this image presents regularity distribution of determining can be cancelled.
In the said method that the embodiment of the present invention provides, after obtaining the image by the article surface to be identified of camera collection; By carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified; Then the spectral signature of the feature light that this article surface to be identified is launched after specifying light to irradiate is obtained; And by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding is respectively compared, determine the material of this article surface to be identified, in the method, texture recognition is combined with spectral matching factor, texture recognition goes out roughly classification to material preliminary judgement, make spectral matching factor in less database, namely can complete the comparison of characteristic spectrum, the combination of the two both ensure that the precision of identification, the volume of equipment can not be made again excessive, reduce the volume of high-precision article surface Material Identification equipment.
Below in conjunction with accompanying drawing, with specific embodiment, method provided by the invention and device and corresponding system are described in detail.
Embodiment 1:
The flow process that the embodiment of the present invention 1 pair of material carries out texture recognition is described in detail, and as shown in Figure 2, by carrying out texture recognition to this image, from the multiple material classifications preset, determining this material classification belonging to article surface to be identified, specifically comprising:
Step 201, texture recognition is carried out to this image, obtain the textural characteristics of described image.
Step 202, this textural characteristics to be compared with textural characteristics corresponding to multiple material classifications preset respectively, obtain the multiple texture comparative results corresponding respectively with the plurality of material classification.
Step 203, according to the plurality of texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from the plurality of material classification, as material classification belonging to this article surface to be identified.
The texture of image is occurred being formed by the gray scale be distributed on locus repeatedly, texture is a key character in image recognition, in prior art, the extracting method of textural characteristics has multiple, in practical application, the method extracting gray level co-occurrence matrixes can be adopted to extract the textural characteristics of image, and gray level co-occurrence matrixes reflects the spatial coherence of gray scale in image, is a kind of means that texture feature extraction is conventional.
After extracting the gray level co-occurrence matrixes of image, calculate corresponding eigenwert, the textural characteristics corresponding with the multiple material classifications preset compares, obtain the multiple texture comparative results corresponding respectively with the plurality of material classification, according to actual needs, the texture comparative result meeting preset matching condition in above-mentioned steps 203 can be specifically represent immediate texture comparative result, also can a degree of closeness predetermined number from high to low texture comparative result.
In above-mentioned flow process, treat identify objects surface image carry out texture recognition, the roughly classification of the just material obtained, such as, leather, metal, plastics etc., if treat identify objects Facing material to need finer judgement, then also need further identification.
On the process base of texture recognition shown in Fig. 2, after determining the roughly classification of material belonging to article surface to be identified, according to actual needs, spectral matching factor can also be adopted to determine article surface material to be identified further, the material of article surface to be identified is determined by above-mentioned steps 104, process step as shown in Figure 3, comprising:
Step 301, this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding respectively to be compared, obtain multiple spectrum comparative results that material each with this is corresponding respectively.
Step 302, according to the plurality of spectrum comparative result, determine that material that in this each material, immediate spectrum comparative result is corresponding is the material of this article surface to be identified.
The component of unlike material is different, different elements excites through particular light ray high energy, and the interphase interaction of atom can launch different feature light, by the spectral signature of analytical characteristic light, judge the constituent of material, determine the material of article surface to be identified.At present, what spectral matching factor was conventional is infrared spectrum identification, Infrared is launched to article surface to be identified, article surface to be identified launches feature light after Infrared is irradiated, by the spectral signature of this feature light with determine in above-described embodiment 2 belonging to spectral signature corresponding to each material of comprising of material classification compare, determine the material of article surface to be identified, spectral signature corresponding to each material can be stored in far-end server, result of determination is returned by far-end server.
Embodiment 2:
Below the method flow that article surface Material Identification adopts texture recognition and spectral matching factor to combine is described in detail, adopts for texture recognition the situation that gray level co-occurrence matrixes extracts feature, spectral matching factor adopts Infrared, as shown in Figure 4, comprising:
Step 401, when user needs the material differentiating certain article, utilize the camera of article surface Material Identification equipment to take article surface to be identified, collect the image of article surface to be identified.
Step 402, determine whether the pixel value of this image presents regularity distribution, if so, perform step 403, otherwise, perform step 404.
Step 403, extract the gray level co-occurrence matrixes of this image, calculate corresponding eigenwert, this eigenwert represents the textural characteristics of this image.
Step 404, again take article surface to be identified with camera, obtain article surface image to be identified.During shooting as much as possible under suitable light, select the shooting of suitable distance.
Step 405, the textural characteristics of this image calculated to be compared with textural characteristics corresponding to multiple material classifications preset respectively, obtain the multiple texture comparative results corresponding respectively with the plurality of material classification.
Step 406, according to the plurality of texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from the plurality of material classification, as material classification belonging to this article surface to be identified, be designated as material classification A.
Step 407, when user needs to determine that article to be identified belong to certain material further, light launcher can be utilized to launch Infrared to this article surface to be identified, carry out spectral matching factor.
In this step, the transmitter of Infrared can being started, launching Infrared to treating identify objects.
Step 408, utilize light receiver device receive this article surface to be identified through Infrared irradiate after launch feature light, obtain the spectral signature of this feature light.
Step 409, the spectral signature that this spectral signature is corresponding with each material that material classification A comprises respectively to be compared, obtain multiple spectrum comparative results that material each with this is corresponding respectively.
Step 410, according to the plurality of spectrum comparative result, determine that material that in this each material, immediate spectrum comparative result is corresponding is the material of this article surface to be identified.
In this step, also can sort to the plurality of spectrum comparative result, determine several materials that in this each material, a degree of closeness predetermined number from high to low spectrum comparative result is corresponding.
In actual applications, the article Material Identification method that above-described embodiment provides reduces the volume of high-precision article identification equipment, therefore portable equipment can be applied to, as mobile terminals such as mobile phones, such as when buying clothes, article surface Material Identification can be adopted to differentiate cloth, provide a convenient, practical, there is very large popularization space.
Embodiment 3:
Based on same inventive concept, according to the article surface Material Identification method that the above embodiment of the present invention provides, correspondingly, another embodiment of the present invention 3 additionally provides article surface Material Identification device, and apparatus structure schematic diagram as shown in Figure 5, specifically comprises:
Image acquisition unit 501, for obtaining the image of the article surface to be identified by camera collection;
Texture recognition unit 502, for by carrying out texture recognition to this image, from the multiple material classifications preset, determine material classification belonging to this article surface to be identified;
Feature acquiring unit 503, for obtaining the spectral signature of feature light that described article surface to be identified is launched after specifying light to irradiate;
Material determining unit 504, for by this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding respectively being compared, determine the material of this article surface to be identified.
Further, in above-mentioned article surface Material Identification device, texture recognition unit 502, also for by carrying out texture recognition to this image, from the multiple material classifications preset, before determining this material classification belonging to article surface to be identified, determine that the pixel value of this image presents regularity distribution.
Further, texture recognition unit 502, specifically for carrying out texture recognition to described image, obtains the textural characteristics of described image; And the textural characteristics that described textural characteristics is corresponding with the multiple material classifications preset respectively is compared, obtain the multiple texture comparative results corresponding respectively with described multiple material classification; And according to described multiple texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from described multiple material classification, as material classification belonging to described article surface to be identified.
Further, material determining unit 504, specifically for this spectral signature spectral signature that each material of comprising of material classification affiliated with this is corresponding respectively being compared, obtains multiple spectrum comparative results that material each with this is corresponding respectively; And according to the plurality of spectrum comparative result, determine that material that in this each material, immediate spectrum comparative result is corresponding is the material of described article surface to be identified.
The function of above-mentioned each unit may correspond to the respective handling step in flow process shown in Fig. 1 to Fig. 4, does not repeat them here.
The embodiment of the present invention 3 additionally provides a kind of Material Identification equipment, and this equipment comprises the article surface Material Identification device shown in above-mentioned Fig. 5, also comprises camera and light emission receiving trap, structural representation as shown in Figure 6:
The structure of Material Identification device 601, this device is identical with the apparatus structure shown in above-mentioned Fig. 5, and each Elementary Function see the enforcement of aforementioned means, can repeat part and repeat no more;
Camera 602, for taking article surface to be identified, obtain the image of this article surface to be identified;
Light emission receiving trap 603, for launch specify light irradiate this article surface to be identified, and receive this article surface to be identified through this appointment light irradiate after launch feature light.
Embodiment 4:
The embodiment of the present invention 4 also provides a kind of article surface Material Identification system, comprises Material Identification equipment and far-end server that above-described embodiment provides, as shown in Figure 7:
Material Identification equipment 701, for obtaining the image of the article surface to be identified by camera collection; By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified; Obtain the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate; Distally server sends described spectral signature, and the material information of the material of the article surface described to be identified determined by described spectral signature receiving that described far-end server returns;
Far-end server 702, for receive described Material Identification equipment send described spectral signature, the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises compares, determine the material of described article surface to be identified, and the described material information of the material determined is back to described Material Identification equipment.
In sum, the scheme that the embodiment of the present invention provides, comprising: the image obtaining the article surface to be identified by camera collection; By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified; Then the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate is obtained; And compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determine the material of described article surface to be identified.The scheme adopting the embodiment of the present invention to provide, compared to existing technology, reduces the volume of high-precision article surface Material Identification equipment.
The article surface Material Identification device that the embodiment of the application provides realizes by computer program.Those skilled in the art should be understood that; above-mentioned Module Division mode is only the one in numerous Module Division mode; if be divided into other modules or do not divide module, as long as article surface Material Identification device has above-mentioned functions, all should within the protection domain of the application.
The application describes with reference to according to the process flow diagram of the method for the embodiment of the present application, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. an article surface Material Identification method, is characterized in that, comprising:
Obtain the image by the article surface to be identified of camera collection;
By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified;
Obtain the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate;
Compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determine the material of described article surface to be identified.
2. the method for claim 1, is characterized in that, by carrying out texture recognition to described image, from the multiple material classifications preset, before determining the material classification belonging to described article surface to be identified, also comprises:
Determine that the pixel value of described image presents regularity distribution.
3. the method for claim 1, is characterized in that, by carrying out texture recognition to described image, from the multiple material classifications preset, determining the material classification belonging to described article surface to be identified, specifically comprising:
Texture recognition is carried out to described image, obtains the textural characteristics of described image;
The textural characteristics that described textural characteristics is corresponding with the multiple material classifications preset respectively compares, and obtains the multiple texture comparative results corresponding respectively with described multiple material classification;
According to described multiple texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from described multiple material classification, as material classification belonging to described article surface to be identified.
4. the method for claim 1, is characterized in that, is compared, determine the material of described article surface to be identified, specifically comprise by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively:
The spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively compares, and obtains the multiple spectrum comparative results corresponding respectively with described each material;
According to described multiple spectrum comparative result, determine that material that in described each material, immediate spectrum comparative result is corresponding is the material of described article surface to be identified.
5. an article surface Material Identification device, is characterized in that, comprising:
Image acquisition unit, for obtaining the image of the article surface to be identified by camera collection;
Texture recognition unit, for by carrying out texture recognition to described image, from the multiple material classifications preset, determines material classification belonging to described article surface to be identified;
Feature acquiring unit, for obtaining the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate;
Material determining unit, for being compared by the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, determines the material of described article surface to be identified.
6. device as claimed in claim 5, it is characterized in that, texture recognition unit, also for by carrying out texture recognition to described image, from the multiple material classifications preset, before determining the material classification belonging to described article surface to be identified, determine that the pixel value of described image presents regularity distribution.
7. device as claimed in claim 5, is characterized in that, texture recognition unit, specifically for carrying out texture recognition to described image, obtaining the textural characteristics of described image; And the textural characteristics that described textural characteristics is corresponding with the multiple material classifications preset respectively is compared, obtain the multiple texture comparative results corresponding respectively with described multiple material classification; And according to described multiple texture comparative result, select to meet material classification corresponding to the texture comparative result of preset matching condition from described multiple material classification, as material classification belonging to described article surface to be identified.
8. device as claimed in claim 5, it is characterized in that, material determining unit, compares specifically for the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises respectively, obtains the multiple spectrum comparative results corresponding respectively with described each material; And according to described multiple spectrum comparative result, determine that material that in described each material, immediate spectrum comparative result is corresponding is the material of described article surface to be identified.
9. a Material Identification equipment, is characterized in that, comprising:
Article surface Material Identification device, camera and light emission receiving trap as described in as arbitrary in claim 5-8, wherein:
Described camera, for taking article surface to be identified, obtains the image of described article surface to be identified;
Described light emission receiving trap, specifies light to irradiate described article surface to be identified for launching, and receives the feature light of described article surface to be identified transmitting after described appointment light irradiates.
10. an article surface Material Identification system, is characterized in that, comprising: Material Identification equipment and far-end server, wherein:
Described Material Identification equipment, for obtaining the image of the article surface to be identified by camera collection; By carrying out texture recognition to described image, from the multiple material classifications preset, determine material classification belonging to described article surface to be identified; Obtain the spectral signature of the feature light that described article surface to be identified is launched after specifying light to irradiate; Distally server sends described spectral signature, and the material information of the material of the article surface described to be identified determined by described spectral signature receiving that described far-end server returns;
Described far-end server, for receiving the described spectral signature that described Material Identification equipment sends, the spectral signature that described spectral signature is corresponding with each material that described affiliated material classification comprises compares, determine the material of described article surface to be identified, and the described material information of the material determined is back to described Material Identification equipment.
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| CN201310512792.6A CN104568749B (en) | 2013-10-25 | 2013-10-25 | A kind of article surface Material Identification method, apparatus and identification equipment and system |
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| CN201310512792.6A CN104568749B (en) | 2013-10-25 | 2013-10-25 | A kind of article surface Material Identification method, apparatus and identification equipment and system |
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| CN104568749A true CN104568749A (en) | 2015-04-29 |
| CN104568749B CN104568749B (en) | 2017-12-19 |
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| CN105701804A (en) * | 2016-01-05 | 2016-06-22 | 百度在线网络技术（北京）有限公司 | Object material identifying method and device |
| CN108254375A (en) * | 2017-12-29 | 2018-07-06 | 广州检验检测认证集团有限公司 | A kind of method for differentiating ox leather and buffalo leather |
| CN108335295A (en) * | 2018-02-08 | 2018-07-27 | 吴永慧 | Hospital ward brightness self-adaptive regulating |
| CN108734079A (en) * | 2018-02-07 | 2018-11-02 | 陈波 | Image big data instant analysis method |
| CN109152160A (en) * | 2018-02-08 | 2019-01-04 | 吴永慧 | Hospital ward brightness adaptive regulation method |
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| CN105701804A (en) * | 2016-01-05 | 2016-06-22 | 百度在线网络技术（北京）有限公司 | Object material identifying method and device |
| CN109752346A (en) * | 2017-11-01 | 2019-05-14 | 青岛海尔智能技术研发有限公司 | A kind of optical means and device identifying clothing material |
| CN108254375A (en) * | 2017-12-29 | 2018-07-06 | 广州检验检测认证集团有限公司 | A kind of method for differentiating ox leather and buffalo leather |
| CN108734079A (en) * | 2018-02-07 | 2018-11-02 | 陈波 | Image big data instant analysis method |
| CN108335295A (en) * | 2018-02-08 | 2018-07-27 | 吴永慧 | Hospital ward brightness self-adaptive regulating |
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| CN110702559A (en) * | 2019-10-11 | 2020-01-17 | 广东美的厨房电器制造有限公司 | Object identification method and device, cooking equipment and computer readable storage medium |
| CN111027601B (en) * | 2019-11-25 | 2023-10-17 | 歌尔股份有限公司 | Plane detection method and device based on laser sensor |
| CN111027601A (en) * | 2019-11-25 | 2020-04-17 | 歌尔股份有限公司 | Plane detection method and device based on laser sensor |
| CN110924066A (en) * | 2019-12-20 | 2020-03-27 | 吉林求是光谱数据科技有限公司 | Clothes material identification method and device based on image identification technology and spectrum technology |
| CN111766303B (en) * | 2020-09-03 | 2020-12-11 | 深圳市声扬科技有限公司 | Voice acquisition method, device, equipment and medium based on acoustic environment evaluation |
| CN111766303A (en) * | 2020-09-03 | 2020-10-13 | 深圳市声扬科技有限公司 | Voice acquisition method, device, equipment and medium based on acoustic environment evaluation |
| CN112785553A (en) * | 2020-12-30 | 2021-05-11 | 深兰人工智能芯片研究院（江苏）有限公司 | Density estimation method, density estimation device, electronic equipment and computer-readable storage medium |
| CN113489869A (en) * | 2021-07-05 | 2021-10-08 | 深圳市威视佰科科技有限公司 | Clothing material identification method based on hyperspectral camera |
| CN113989618A (en) * | 2021-11-03 | 2022-01-28 | 深圳黑蚂蚁环保科技有限公司 | Recyclable article classification and identification method |
| CN115273249A (en) * | 2022-08-01 | 2022-11-01 | 思博特集成科技(珠海横琴)有限公司 | Spectrum three-dimensional identification method, spectrum three-dimensional identification method device and readable storage medium |
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