CN101814143B - Extraction method for brightness characteristic quantity of feature image and recognition method for feature image - Google Patents
Extraction method for brightness characteristic quantity of feature image and recognition method for feature image Download PDFInfo
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Abstract
The invention relates to an extraction method for brightness characteristic quantity of a feature image, which is used for extracting brightness characteristic quantity by utilizing a feature image recognition system. The extraction method comprises the steps of inputting, adjustment, position marking, extraction and storage, wherein the extraction step comprises recognition, a first comparison, a second comparison, calculation and determination, wherein in the recognition step, recognizing the brightness value of each pixel in each position image; and in the determination step, orderly extracting another pixel besides the target pixel group as the target pixel, and repeating the first comparison step, the second comparison step and the calculation step until all the pixels in the position image acquire the brightness characteristic values. The precise image brightness characteristic quantity with high efficiency is quickly obtained by using the extraction method for brightness characteristic quantity of the feature image.
Description
Technical field
The present invention relates to a kind of Characteristic Extraction method of characteristic image, especially relate to a kind of brightness characteristic quantity extracting method of face image.
Background technology
In recent years, a kind of characteristic pattern that utilizes camera picked-up has been proposed, face for example, the practical approach of identification people's identity.A kind of matching process commonly used is, by such as between predefined registered images and processing target image, carrying out the identifying processings such as standardization correlativity, calculate similarity, and finally judge the whether people of registered in advance in recognition system of people to be identified according to similarity.
When (for example security system) provides the recognition of face of using this matching process under real-time environment, exist following may: because weather or the variation in division of day and night in a day, the contrast of image changes can be very greatly, even can produce local shade in image.In real time environment, the appearance of the people in the image can be according to the variation that is changed significantly of light, and this will greatly affect accuracy of identification.
In order to address this problem, someone has proposed the characteristic quantity more stable with respect to the variation of light extracted from brightness value, rather than originally carries out identifying processing with it at the brightness value of image.For example, with the brightness value of each pixel of each comparison in position by and the difference around between the pixel of this pixel revise, then the brightness value of revising is defined as the final brightness value of this pixel.
Yet prior art exists correcting mode rough, and final brightness value is accurate not, and revises the shortcoming that efficient is too low for each pixel.
Summary of the invention
For solving the problems of the technologies described above, according to a scheme of the present invention, the invention provides a kind of brightness characteristic quantity extracting method of face image, it utilizes the face image recognition system to carry out brightness characteristic quantity and extracts, described face image recognition system comprises: image storage unit, adjustment cut cells, sign unit, brightness characteristic quantity extraction unit, storage unit
The brightness characteristic quantity extracting method of described face image may further comprise the steps:
Input step is input to face image to be registered or face image to be identified in the described image storage unit of described face image recognition system by camera;
Set-up procedure, with the face image stored by the adjustment of described adjustment cut cells and be cut into the standard face image of direction, size conforms certain standard;
The position indicates step, and described standard face image is cut apart sign by described sign unit according to the position;
Extraction step extracts the brightness characteristic quantity of each station diagram picture with described brightness characteristic quantity extraction unit to each the station diagram picture that indicates;
Storing step is stored in described brightness characteristic quantity in the described storage unit;
Wherein, described extraction step comprises:
Identification step is identified the brightness value of each pixel in each station diagram picture;
The first comparison step, a pixel in the extract part image is as object pixel, all pixels institute that will be adjacent with this object pixel as object pixel around pixel, calculate each object pixel around the luminance difference between pixel and the object pixel, if described luminance difference be no more than described object pixel brightness ± 20%, then should be classified as an object pixel group around pixel and described object pixel;
The second comparison step, all pixels that will be adjacent with the described object pixel group that obtains in described the first comparison step as pixel groups around pixel, calculate each pixel groups around the luminance difference between pixel and the described object pixel that in described the first comparison step, extracts, if described luminance difference be no more than described object pixel brightness+100%, be+1 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then;
Calculation procedure around the cumulative final brightness value that obtains of the counting of pixel, is distributed to each object pixel in described object pixel group with this final brightness value with described each pixel groups, obtains thus the brightness characteristic quantity of each object pixel;
Determining step, order is extracted the one other pixel outside the object pixel group, as object pixel, repeats the first comparison step, the second comparison step and calculation procedure, until all pixels in the station diagram picture all obtain the brightness value.
Further, in the brightness characteristic quantity extracting method of face image of the present invention, described image storage unit comprises the face image storing sub-units of registration and face image storing sub-units to be identified.
Further, in the brightness characteristic quantity extracting method of face image of the present invention, input step is input to face image to be registered or face image to be identified in the face image storing sub-units of the described registration in the described image storage unit of described face image recognition system by camera;
Further, in the brightness characteristic quantity extracting method of face image of the present invention, indicate in the step at described position, described standard face image is cut apart sign according to the position in the mode of numeral by described sign unit.
Further, in the brightness characteristic quantity extracting method of face image of the present invention, indicate step at described position, described standard face image is cut apart sign by described sign unit according to the position, and described position comprises face, eyebrow, eyes, nose, chin and the cheekbone of face.
Further, in the brightness characteristic quantity extracting method of characteristic image of the present invention, in described calculation procedure, with described each pixel groups around the cumulative final brightness value that obtains of the counting of pixel, this final brightness value is distributed to each object pixel in the described object pixel group, and, if described final brightness value be not more than+2 or be not less than-2, then described final brightness value is set as 0, obtains thus the brightness characteristic quantity of each object pixel.
According to another aspect of the present invention, the invention provides a kind of recognition methods of characteristic image, may further comprise the steps:
Registration image input step is input to characteristic image to be registered in the described image storage unit of described characteristic image recognition system by camera;
Set-up procedure, with the characteristic image stored by the adjustment of described adjustment cut cells and be cut into the standard feature image of direction, size conforms certain standard;
The position indicates step, and described standard feature image is cut apart sign by described sign unit according to the position;
Extraction step extracts the brightness characteristic quantity of each station diagram picture with described brightness characteristic quantity extraction unit to each the station diagram picture that indicates;
Storing step is stored in described brightness characteristic quantity in the described storage unit;
Wherein, described extraction step comprises:
Identification step is identified the brightness value of each pixel in each station diagram picture;
The first comparison step, a pixel in the extract part image is as object pixel, all pixels institute that will be adjacent with this object pixel as object pixel around pixel, calculate each object pixel around the luminance difference between pixel and the object pixel, if described luminance difference be no more than described object pixel brightness ± 20%, then should be classified as an object pixel group around pixel and described object pixel;
The second comparison step, all pixels that will be adjacent with the described object pixel group that obtains in described the first comparison step as pixel groups around pixel, calculate each pixel groups around the luminance difference between pixel and the described object pixel that in described the first comparison step, extracts, if described luminance difference be no more than described object pixel brightness+100%, be+1 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then;
Calculation procedure around the cumulative final brightness value that obtains of the counting of pixel, is distributed to each object pixel in described object pixel group with this final brightness value with described each pixel groups, obtains thus the brightness characteristic quantity of each object pixel;
Determining step, order is extracted the one other pixel outside the object pixel group, as object pixel, repeats the first comparison step, the second comparison step and calculation procedure, until all pixels in the station diagram picture all obtain the brightness value;
Image input step to be identified is input to characteristic image to be identified in the described image storage unit of described characteristic image recognition system by camera;
Repeat above-mentioned set-up procedure, position sign step, extraction step and storing step, thereby obtain the brightness characteristic quantity of characteristic image to be identified;
The characteristic portion more than three of choosing according to the user or from image storage unit, extract respectively the brightness characteristic quantity of characteristic image to be identified at described position according to a plurality of positions that described image identification system is set and the brightness characteristic quantity of the characteristic image of registration;
The brightness characteristic quantity of the characteristic image of the brightness characteristic quantity of the characteristic image described to be identified that extracts and described registration is compared, if both are similar, then be judged to be characteristic image to be identified by identification; Both are not similar else if, then are judged to be characteristic image to be identified not by identification.
Further, in the recognition methods of characteristic image of the present invention, comprise at least in the characteristic portion more than three that described user chooses face face, eyebrow, eyes, nose, chin and cheekbone one of them.
Further, in the brightness characteristic quantity extracting method of characteristic image of the present invention, in described calculation procedure, with described each pixel groups around the cumulative final brightness value that obtains of the counting of pixel, this final brightness value is distributed to each object pixel in the described object pixel group, and, if described final brightness value be not more than+2 or be not less than-2, then described final brightness value is set as 0, obtains thus the brightness characteristic quantity of each object pixel.
Further, the brightness characteristic quantity extracting method of characteristic image as claimed in claim 7, wherein, in described the first comparison step, if described luminance difference be no more than described object pixel brightness ± 10% the time, then should be classified as an object pixel group around pixel and described object pixel.
By technical scheme provided by the present invention, recognition system can be classified as one group with the similar pixel of brightness, thereby has improved efficient.And according to the luminance difference around pixel and object pixel, be around pixel setup parameter value more meticulously, thereby more accurately determine the final brightness value of object pixel, thereby obtain the brightness characteristic quantity of each object pixel.
Embodiment
The below will describe the present invention in detail by embodiment:
Utilized the characteristic image recognition system in the brightness characteristic quantity extracting method of characteristic image provided by the invention.Feature Recognition System can be by comparing to the character stored and character to be tested, and determine whether some among chartered personnel of people to be identified.Described characteristic image recognition system comprises: image storage unit, adjustment cut cells, sign unit, brightness characteristic quantity extraction unit, storage unit.The effect of these unit is as described below.
Yet the characteristic image of obtaining by camera can be because of the colour of skin and because the variation of extraneous light produces luminance difference, and this species diversity may cause the failure identified.Therefore need the special brightness of paying attention to characteristic image, therefore need to provide a kind of maximum possible to get rid of the brightness characteristic quantity extracting method of the characteristic image of light variable effect.
The brightness characteristic quantity extracting method of characteristic image provided by the invention may further comprise the steps:
Input step is input to characteristic image to be registered or characteristic image to be identified in the described image storage unit of described characteristic image recognition system by camera.Because this method both had been suitable for the characteristic image of the registration of in advance typing is processed, be fit to again the characteristic image that corresponding time spent needs identify and process, therefore in described input step, input can be in two kinds of images any.
Set-up procedure, with the characteristic image stored by the adjustment of described adjustment cut cells and be cut into the standard feature image of direction, size conforms certain standard.Adjust cut cells the processing target image of input is carried out detection, and position, the size and Orientation of the feature in definite processing target image.In addition, adjust cut cells based on the extremely predetermined size of determined feature locations, characteristic dimension and characteristic direction standardization face size; Produce the test pattern of shearing by the shear performance image, like this, characteristic portion is along predetermined direction orientation; And the standard picture sheared of output.
The position indicates step, and described standard feature image is cut apart sign by described sign unit according to the position.Can indicate with numeral when indicating, also can indicate with letter.Sign is when identifying in the future, can select identical position at the characteristic image of registration with other characteristic image to be known exactly.
Extraction step extracts the brightness characteristic quantity of each station diagram picture with described brightness characteristic quantity extraction unit to each the station diagram picture that indicates;
Wherein, described extraction step comprises:
Identification step is identified the brightness value of each pixel in each station diagram picture.
The first comparison step, a pixel in the extract part image is as object pixel, all pixels institute that will be adjacent with this object pixel as object pixel around pixel, calculate each object pixel around the luminance difference between pixel and the object pixel, if described luminance difference be no more than described object pixel brightness ± 20%, then should be classified as an object pixel group around pixel and described object pixel.For example the brightness value of selected object pixel is 100, then can be classified as one group around brightness value in the pixel with described object pixel between 80～120, becomes an object pixel group.Suppose there are eight around pixel around the object pixel, and wherein two brightness values around pixel are between 80～120, these two form the object pixel groups that comprise three pixels around pixel and that object pixel so.
The second comparison step, all pixels that will be adjacent with the described object pixel group that obtains in described the first comparison step as pixel groups around pixel, calculate each pixel groups around the luminance difference between pixel and the described object pixel that in described the first comparison step, extracts, if described luminance difference be no more than described object pixel brightness+100%, be+1 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then.For example, with the top adjacent pixel of object pixel group that comprises three pixels, namely, and in described three pixels any one adjacent pixel as pixel groups around pixel.Yet around the pixel setup parameter, if the described luminance difference of setting parameter rule is no more than the brightness of described object pixel+100%, be+1 with this pixel groups around pixel counts to each; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then.This rule can be so that more accurate around the luminance parameter of pixel, thereby so that the follow-up setting to the object pixel luminance parameter is more accurate.
Calculation procedure around the cumulative final brightness value that obtains of the counting of pixel, is distributed to each object pixel in described object pixel group with this final brightness value with described each pixel groups, obtains thus the brightness characteristic quantity of each object pixel.That is to say, the brightness value (brightness characteristic quantity) of each object pixel in object pixel group is the same.Thereby simplified computation process, recognition efficiency is provided.
Determining step, order is extracted the one other pixel outside the object pixel group, as object pixel, repeats the first comparison step, the second comparison step and calculation procedure, until all pixels in the station diagram picture all obtain the brightness value.This position pixel has just obtained brightness characteristic quantity like this.
Be storing step at last, described brightness characteristic quantity is stored in the described storage unit.
In the brightness characteristic quantity extracting method of described characteristic image, described image storage unit comprises the characteristic image storing sub-units of registration and characteristic image storing sub-units to be identified.Like this can be with characteristic image to be registered and separately storage of characteristic image to be identified.
In the brightness characteristic quantity extracting method of described characteristic image, in described input step, characteristic image to be registered or characteristic image to be identified are input to by camera in the characteristic image storing sub-units of the described registration in the described image storage unit of described characteristic image recognition system.
In the brightness characteristic quantity extracting method of described characteristic image, indicate in the step at described position, described standard feature image is cut apart sign according to the position in the mode of numeral by described sign unit.In fact also can indicate in the mode of letter, but indicate in the mode of numeral, combine with the brightness characteristic quantity sign than being easier to.
In the brightness characteristic quantity extracting method of described characteristic image, indicate in the step at described position, described standard feature image is cut apart sign by described sign unit according to the position, and described position comprises face, eyebrow, eyes, nose, chin and the cheekbone of face.Usually when identifying, the position of face image comparison mainly is eyes, nose and face.And in some special circumstances, for example, person to be identified wear glasses or the situation of mouth mask under, also can select voluntarily to want the position identified by person to be identified.
In the brightness characteristic quantity extracting method of described characteristic image, in described calculation procedure, with described each pixel groups around the cumulative final brightness value that obtains of the counting of pixel, this final brightness value is distributed to each object pixel in the described object pixel group, and, if described final brightness value is not more than+and 2 or be not less than-2, then described final brightness value is set as 0, obtain thus the brightness characteristic quantity of each object pixel.When final brightness value be not more than+2 or when being not less than-2, that is to say, when final brightness value is 0,1 or-1 o'clock, can directly described final brightness value be set as 0, this illustrates that it is not very greatly that this object pixel (object pixel group) brightness on every side changes.
The present invention also provides a kind of recognition methods of characteristic image, may further comprise the steps:
Registration image input step is input to characteristic image to be registered in the described image storage unit of described characteristic image recognition system by camera;
Set-up procedure, with the characteristic image stored by the adjustment of described adjustment cut cells and be cut into the standard feature image of direction, size conforms certain standard;
The position indicates step, and described standard feature image is cut apart sign by described sign unit according to the position;
Extraction step extracts the brightness characteristic quantity of each station diagram picture with described brightness characteristic quantity extraction unit to each the station diagram picture that indicates;
Storing step is stored in described brightness characteristic quantity in the described storage unit;
Wherein, described extraction step comprises:
Identification step is identified the brightness value of each pixel in each station diagram picture;
The first comparison step, a pixel in the extract part image is as object pixel, all pixels institute that will be adjacent with this object pixel as object pixel around pixel, calculate each object pixel around the luminance difference between pixel and the object pixel, if described luminance difference be no more than described object pixel brightness ± 20%, then should be classified as an object pixel group around pixel and described object pixel;
The second comparison step, all pixels that will be adjacent with the described object pixel group that obtains in described the first comparison step as pixel groups around pixel, calculate each pixel groups around the luminance difference between pixel and the described object pixel that in described the first comparison step, extracts, if described luminance difference be no more than described object pixel brightness+100%, be+1 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then;
Calculation procedure around the cumulative final brightness value that obtains of the counting of pixel, is distributed to each object pixel in described object pixel group with this final brightness value with described each pixel groups, obtains thus the brightness characteristic quantity of each object pixel;
Determining step, order is extracted the one other pixel outside the object pixel group, as object pixel, repeats the first comparison step, the second comparison step and calculation procedure, until all pixels in the station diagram picture all obtain the brightness value;
Image input step to be identified is input to characteristic image to be identified in the described image storage unit of described characteristic image recognition system by camera;
Repeat above-mentioned set-up procedure, position sign step, extraction step and storing step, thereby obtain the brightness characteristic quantity of characteristic image to be identified;
The characteristic portion more than three of choosing according to the user or from image storage unit, extract respectively the brightness characteristic quantity of characteristic image to be identified at described position according to a plurality of positions that described image identification system is set and the brightness characteristic quantity of the characteristic image of registration;
The brightness characteristic quantity of the characteristic image of the brightness characteristic quantity of the characteristic image described to be identified that extracts and described registration is compared, if both are similar, then be judged to be characteristic image to be identified by identification; Both are not similar else if, then are judged to be characteristic image to be identified not by identification.
In the recognition methods of described characteristic image, comprise at least in the characteristic portion more than three that described user chooses face face, eyebrow, eyes, nose, chin and cheekbone one of them.
In the brightness characteristic quantity extracting method of described characteristic image, in described calculation procedure, with described each pixel groups around the cumulative final brightness value that obtains of the counting of pixel, this final brightness value is distributed to each object pixel in the described object pixel group, and, if described final brightness value is not more than+and 2 or be not less than-2, then described final brightness value is set as 0, obtain thus the brightness characteristic quantity of each object pixel.
In the brightness characteristic quantity extracting method of described characteristic image, in described the first comparison step, if described luminance difference be no more than described object pixel brightness ± 10% the time, then should be classified as an object pixel group around pixel and described object pixel.
The several functions structure and the embodiment that disclose among the present invention are all embodied by claim and are protected, and any resulting enlightenment of drawings and Examples shown in according to the present invention all falls among the scope that the present invention protects.
Claims (5)
1. the brightness characteristic quantity extracting method of a characteristic image, it utilizes the characteristic image recognition system to carry out brightness characteristic quantity and extracts, described characteristic image recognition system comprises: image storage unit, adjustment cut cells, sign unit, brightness characteristic quantity extraction unit, storage unit
The brightness characteristic quantity extracting method of described characteristic image may further comprise the steps:
Input step is input to characteristic image to be registered or characteristic image to be identified in the described image storage unit of described characteristic image recognition system by camera;
Set-up procedure, with the characteristic image stored by the adjustment of described adjustment cut cells and be cut into the standard feature image of direction, size conforms certain standard;
The position indicates step, and described standard feature image is cut apart sign by described sign unit according to the position;
Extraction step extracts the brightness characteristic quantity of each station diagram picture with described brightness characteristic quantity extraction unit to each the station diagram picture that indicates;
Storing step is stored in described brightness characteristic quantity in the described storage unit;
Wherein, described extraction step comprises:
Identification step is identified the brightness value of each pixel in each station diagram picture;
The first comparison step, a pixel in the extract part image is as object pixel, all pixels institute that will be adjacent with this object pixel as object pixel around pixel, calculate each object pixel around the luminance difference between pixel and the object pixel, if described luminance difference be no more than described object pixel brightness ± 20%, then should be classified as an object pixel group around pixel and described object pixel;
The second comparison step, all pixels that will be adjacent with the described object pixel group that obtains in described the first comparison step as pixel groups around pixel, calculate each pixel groups around the luminance difference between pixel and the described object pixel that in described the first comparison step, extracts, if described luminance difference be no more than described object pixel brightness+100%, be+1 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness+100%, be+2 with this pixel groups around pixel counts then; If described luminance difference be no more than described object pixel brightness-50%, be 0 with this pixel groups around pixel counts then; If described luminance difference surpass described object pixel brightness-50%, be-1 with this pixel groups around pixel counts then;
Calculation procedure around the cumulative final brightness value that obtains of the counting of pixel, is distributed to each object pixel in described object pixel group with this final brightness value with described each pixel groups, obtains thus the brightness characteristic quantity of each object pixel;
Determining step, order is extracted the one other pixel outside the object pixel group, as object pixel, repeats the first comparison step, the second comparison step and calculation procedure, until all pixels in the station diagram picture all obtain the brightness value.
2. the brightness characteristic quantity extracting method of characteristic image as claimed in claim 1, wherein, described image storage unit comprises the characteristic image storing sub-units of registration and characteristic image storing sub-units to be identified.
3. the brightness characteristic quantity extracting method of characteristic image as claimed in claim 2, wherein, in described input step, with characteristic image to be registered or characteristic image to be identified by camera be input to described characteristic image recognition system in the characteristic image storing sub-units of described registration in.
4. the brightness characteristic quantity extracting method of characteristic image as claimed in claim 1 wherein, indicates in the step at described position, and described standard feature image is cut apart sign according to the position in the mode of numeral by described sign unit.
5. the brightness characteristic quantity extracting method of characteristic image as claimed in claim 1, wherein, indicate step at described position, described standard feature image is cut apart sign by described sign unit according to the position, and described position comprises face, eyebrow, eyes, nose, chin and the cheekbone of face.
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| CN101782967A (en) * | 2010-03-19 | 2010-07-21 | 周庆芬 | Method for extracting brightness characteristic quantity of face image and method for identifying face image |
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| JP4703605B2 (en) * | 2007-05-31 | 2011-06-15 | アイシン・エィ・ダブリュ株式会社 | Feature extraction method, image recognition method and feature database creation method using the same |
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| CN101414357A (en) * | 2008-11-12 | 2009-04-22 | 北京中星微电子有限公司 | Method and apparatus for detecting film flicker |
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| CN101782967A (en) * | 2010-03-19 | 2010-07-21 | 周庆芬 | Method for extracting brightness characteristic quantity of face image and method for identifying face image |
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Address after: 536000 the Guangxi Zhuang Autonomous Region Industrial Park, Beihai, No. 5, No. 302, deep blue incubation base room 22 Patentee after: Zhou Qingfen Address before: 315010 Haishu province Ningbo District Yin Jiang Village, building 507, room 56, Patentee before: Zhou Qingfen |
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Owner name: GUANGDONG LV'AN INDUSTRIAL CO., LTD. Free format text: FORMER OWNER: ZHOU QINGFEN Effective date: 20150819 |
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Inventor after: Fu Changshan Inventor after: Pei Jun Inventor before: Zhou Qingfen |
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Free format text: CORRECT: INVENTOR; FROM: ZHOU QINGFEN TO: FU CHANGSHAN PEI JUN |
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Effective date of registration: 20150819 Address after: 510000 Guangdong city of Guangzhou province Tianhe District Tianhe Software Park Building 3 No. 1035 high way Patentee after: GUANGDONG LUAN INDUSTRY AND COMMERCE CO., LTD. Address before: 536000 the Guangxi Zhuang Autonomous Region Industrial Park, Beihai, No. 5, No. 302, deep blue incubation base room 22 Patentee before: Zhou Qingfen |
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Address after: 510000 first floor, No.1, Jinying Road, Tianhe District, Guangzhou City, Guangdong Province Patentee after: GUANGDONG LUAN INDUSTRY AND COMMERCE CO., LTD. Address before: 510000 Guangdong city of Guangzhou province Tianhe District Tianhe Software Park Building 3 No. 1035 high way Patentee before: GUANGDONG LUAN INDUSTRY AND COMMERCE CO., LTD. |