CN107273385A - The e measurement technology of historical building chronicle of one's life image - Google Patents
The e measurement technology of historical building chronicle of one's life image Download PDFInfo
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- CN107273385A CN107273385A CN201610217619.7A CN201610217619A CN107273385A CN 107273385 A CN107273385 A CN 107273385A CN 201610217619 A CN201610217619 A CN 201610217619A CN 107273385 A CN107273385 A CN 107273385A
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- dwelling houses
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- age
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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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
- 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
- G06V10/56—Extraction of image or video features relating to colour
Abstract
The invention discloses a kind of local-style dwelling houses age identification that is general, being formed using image comparison techniques with being compared instrument.Chronicle of one's life image measurement technology forms standard picture generation by being imaged to specific local-style dwelling houses functional area, and is compared by the age image in region to form age of functional areas building element and recognize.Product is made up of the tandem circuit in identification age age component image library, the functional areas component diagram picture formation of determination is calculated object by imaging circuit, circuit is by the quick comparison circuit of ARM+DSP pie graph pictures, the similarity of generation is stored into the local-style dwelling houses database of age component to determine the basic data in component age；The age pedigree of local-style dwelling houses is formed after complete test, the basis that the age for local-style dwelling houses determines.Local-style dwelling houses image measurement technology is the basic equipment that local-style dwelling houses is determined, for engaging in archaeological studies, local-style dwelling houses Quality Identification and historical building protection and objective examination.
Description
Technical field
The invention discloses a kind of local-style dwelling houses age identification that is general, being formed using image comparison techniques with being compared instrument.
Chronicle of one's life image measurement technology forms standard picture generation, and the year for passing through region by being imaged to specific local-style dwelling houses functional area
The age identification to form functional areas building element is compared for image.Product constitutes the identification age by age-component image library
Tandem circuit, the functional areas component diagram pictures formation of determination calculates object by imaging circuit, and circuit is fast by ARM+DSP pie graph pictures
Fast comparison circuit, the similarity of generation is the basic data for determining the component age, and the local-style dwelling houses database stored to age-component
In；The age pedigree of local-style dwelling houses is formed after complete test, the basis that the age for local-style dwelling houses determines.Local-style dwelling houses image measurement technology is the people
The basic equipment determined is occupied, for engaging in archaeological studies, local-style dwelling houses Quality Identification and historical building protection and objective examination.
Background technology
The dating technology [T1] of local-style dwelling houses is the basis of local-style dwelling houses review, is historical relic attribute and maintenance criterion, the friendship of local-style dwelling houses
Knowledge [T2] necessary to easy criterion；But the determination in age is used in the identification of local-style dwelling houses documentary evidence technology [T3], Building wood
Material with style identification technology [T4] and complexity archaeological technique [T5], analyze and identify technology [T6].But above-mentioned technology is universal
Have the shortcomings that qualification process length, age confirm that dispute is big and professional standards require high.The present invention passes through knowledge base Hardware
Local-style dwelling houses component-age storehouse is integrated with, using high-resolution multi-color spectrum optical technology, multi-color spectrum local-style dwelling houses component diagram picture is completed and obtains with knowing
Not, the age for completing the main member of local-style dwelling houses determines, forms component-age pedigree of local-style dwelling houses, bond material lifetime limitation ginseng
Number curve is calculated, and forms the history dating and chronicle of one's life of local-style dwelling houses（System）It is determined that.
The content of the invention
A kind of historical building age spectrum the invention discloses standardization, based on characteristics of image-age corresponding data
It is automatic identification technology.The present invention relates to image sensor technologies, image comparison techniques, graphics hardware engine circuit technology, the people
Time feature image library technology and age-dynasty mapping library technology are occupied, belongs to folk building, historical building component age mirror
Not, image recognition with being compared, electronic technology, software technology field.
Historical building chronicle of one's life image measurement technology scheme
Fig. 1 is the circuit theory frame diagram of historical building chronicle of one's life image measurement technology, double spectrum（Visible ray and infrared light）Image
1. compound local-style dwelling houses component master drawing data are formed by image synthesizer circuit, component master data is formed, component is by having had
Standard element RFID formation standard drawing, carry out component identification 2. with view data mark, circuit 2. simultaneously complete multi-cam
Synchronous positioning obtained with RFID data, the mark of formation is used for ID or call number that local-style dwelling houses attribute is generated；With local-style dwelling houses structure
Part ID and respective image（Attribute, age）Build database 4., form the image attributes characteristic of known members and corresponding year
Generation correspondence storehouse；The combination picture of component forms the image attributes of component by 3. being calculated by DSP image attributes counting circuit
Feature, chronicle of one's life counting circuit 5. in, 4. compared calculating with given data storehouse data, formed using this local-style dwelling houses main member ID as singly
Component-chronological table of position, and calculate the temporal characteristics that the main member age of local-style dwelling houses and style and features are most concentrated（Age or court
Generation）, data are in display circuit 6. middle display.
Wherein the component ID of local-style dwelling houses is made up of three parts, the position of shape gemel, material, is identified with shape facility,
Form is as shown in table 1：
The local-style dwelling houses component ID of table 1 data format
ID generation is formed by the data of two part collections, and GPS therein forms address code with administrative location typing；Figure
Material category code and piece code are formed as recognizing, its frame logic is as shown in Figure 2.
Double optical medium imagings are distinguished with material
With image capture device of the visible optical camera formation with determination positional distance 1., wherein position is by synchronization for infrared photography
Mechanical motor is controlled, and carries out positioning capture.Positioning circuit is completed by RFID and automatic sample circuit, together decides on image synthesis
1. position is simultaneously completed by circuit.Circuit forms compound local-style dwelling houses component identification image simultaneously.2. device therein includes component（Contain
RFID is identified, and without mark）Elementary area queue, in addition to positioning are generated with local-style dwelling houses position centering mechanism ID.Such as Fig. 3 institutes
Show.
3. the DSP counting circuits of dedicated computing function formation form the processing of image, by the rgb value of image, pixel position
Put, component diagram is recognized and image recognition processing algorithm composition computing module as RFID is oriented.
Component diagram is to be used to determine integral component, or the imageable target of member region as RFID orientation identifications, shape
Into targeting target.The number of components is more in local-style dwelling houses, or is dispersed in the region that environment is poor, causes image quality not high, is also R
FID orientation labels are placed with place.Component label patch with RFID, can be very good Statistical error, improves component identification
Accuracy.
Component is made up of timber, brick and tile and soil, and the optical properties of material of composition is stable with age relationship, is presented
Optics pixel（It can be seen that with it is infrared）Correspondence discrimination is big.Due to infrared local-style dwelling houses component diagram picture（Cache A）With visible ray component diagram picture
(caching B), to wooden, stone（Mud）Matter rgb value difference reaches that the material of component in 60 or so, image distinguishes obvious.Material
Distinguish algorithm logic process as follows：
[material distinguishes ID material codes formation algorithm]
；Known to the visible images A in same component area, infrared light image B
；If image A position X pixel values are rgb
；Image B location X（Same position）Pixel value is rgb '
；M=|rgb’-rgb|
；if(M>50)
；For stone or mud material code
；else
；Wooden code.
Component specification data are calculated with image attributes
Formed with the rgb value of component and the edge calculations of image are calculated with shape.The edge calculations of image are with neighbours in image
The difference of pixel RGB values is computing unit, is iterated calculating construction.Its general-purpose algorithm is as follows：
[image border algorithm]
；Known location X pixel value rgb
；It is rgb0 to determine margin of image element
；Pixel value b is labeled as when pixel is edge indicator
；Take X position rgb and X+1 (or neighbours) pixel values rgb '
；if(|rgb-rgb’|>b)
；X+1 positions pixel is designated as b
；X=X+1
；else
；X=X+1
；Traversing graph picture.
The region of edge line is formed in image, is compared with the edge line in known picture library, determine the shape of component with
Title.Six parameters therein are the basis of component identification, are respectively：
Length：Unit centimetre or meter, the continuous length of edge line；
Area：Square centimeter or square metre, the area of color lump；
Wedge angle：Unit, edge line intersecting angle is less than 90 degree, and length is more than 5 centimetres；
Obtuse angle：Unit, edge line intersecting angle is more than 90 degree, and length is more than 5 centimetres；
Curve：Unit, is not belonging to the curve of straight line；
Weight（Quality）：Kilogram, the product formation of density and volume is represented with material；
Based on the important parameter of specific component is more than, the data set of formation is：
Same component（Region）Length, area, wedge angle quantity, obtuse angle quantity, curve quantity, weight has scope, is true
Fixed, it is the characteristic of the unique criterion, referred to as component that calculate.
The age in standard database of component
The pixel age recognizer of image, structure determination is calculated by the age and component diagram picture of component.Age in standard can recognize that
Database, is formed according to the successive dynasties component or building standard component that have been acknowledged for template.
Identify to form the identification of different component various years for the age in region, recognizer is by pixel-age criterion numeral
Group contrast generation.The characteristic of various years is differed, and component standard database format is as follows：
The component standard database format of table 2
| ID | Characteristic | Age（Origin） | Standard code | Image file position | Component name |
The feature age identification of component
The pixel value constituted reliability corresponding with the age is high.Image DSP counting circuits are calculated and component specification number by image
According to comparing, component age and title are determined.Its pseudo-code of the algorithm is as follows：
；Known members classification ID
；Pixel and age corresponding example table in known members ID
；The known members ID shapes age corresponding with component style
；(4. above-mentioned data are stored in firmware（ROM and flash）In)
；Obtain the corresponding component names of known RFID, or the image of component name（Shape and pixel value tag）
；If (picture shape meets known form)
；Obtain title and age
；else
；Continue to inquire about（Return）
；Terminate
Picture shape algorithm therein is formed by corner statistic law with yardstick statistic law, the size yardstick according to the component in local-style dwelling houses
It is relatively stable, and differentiable；Component is further determined using component corner quantity.
The formation of local-style dwelling houses chronicle of one's life is shown with calculating
The chronicle of one's life of the age queue, referred to as local-style dwelling houses of the component formation of local-style dwelling houses.Local-style dwelling houses important component age queue is wherein taken, team is taken
Remote component is local-style dwelling houses characteristics life T at most the age in row；The average in all ages in component queue is taken again, is correction value t；Will
In the style age queue of component, component of the age scope in T-t forms the master of component name-chronological table, referred to as local-style dwelling houses
Want component chronicle of one's life, abbreviation historical building chronicle of one's life；Also referred to as historic genre chronicle of one's life.And T is called the history life-span of local-style dwelling houses, T-t is the people
The service life in residence.
Historical building chronicle of one's life, the component age distribution map formed by such as Fig. 4 local-style dwelling houses style chronicle of one's life output interface and Fig. 5.
The advantage of the present invention
In terms of the style of local-style dwelling houses is with life-span, age determination, without the survey tool that can be used so that a large amount of local-style dwelling houses former life-spans
Confusion is measured between style, age.The present invention contributes to this confusion of elimination and can be by the style of local-style dwelling houses, age with using
Life-span is accurately distinguished.
The present invention introduces the expert database of local-style dwelling houses, quickly with stable testing standard and the test process objectified
The test and result for completing local-style dwelling houses are exported.E measurement technology simplifies the process of local-style dwelling houses measurement, and in the review that objectifies of local-style dwelling houses
The precedent of equipment is started.
Brief description of the drawings：
The principle framework of Fig. 1 historical building chronicle of one's life image measurement technologies；
The ID code logic frameworks of Fig. 2 local-style dwelling houses components；
Fig. 3 framing and synthesis, component generation frame diagram；
Fig. 4 local-style dwelling houses chronicles of one's life display layout；
The local-style dwelling houses age figure of Fig. 5 Component- Based Developments.
Claims (9)
1. one kind is based on historical building chronicle of one's life image measurement technology scheme, it is characterised in that the characteristic module of main member,
Age-component specification database, the chronicle of one's life formation of historical building and life-span, wherein：
The characteristic module of component, include image calculate with can data storage form formed；
Age-component specification database, including component specification data, with beginning year in corresponding standard criterion；
The chronicle of one's life formation of historical building and life-span, include chronicle of one's life formation and important local-style dwelling houses chronicle of one's life formation algorithm, the local-style dwelling houses of local-style dwelling houses
Life-span calculates.
2. a kind of component material for the historical building age and image computing technique, it is characterised in that use double media imagings
Material distinguishes data calculating and defines method with component data format code, wherein：
Double media are infrared imaging and visual light imaging, for the component shooting to timber structure, stone material；
The definition of the characteristic form of component and method for computing data, for being marked to component ID in component and local-style dwelling houses；
Component location method RFID marks are attached on component, and component is directed to using narrow sensing RFID reader is oriented
Direction.
3. component specification data module according to claim 1, it is characterised in that the characteristic of image is calculated and data
Storage format, is specifically included：
Component ID code formats and storage format, include local-style dwelling houses component ID data format and component standard database format；
The material of double dielectric images distinguishes algorithm.
4. component according to claim 1-age module, it is characterised in that the characteristic of successive dynasties building element standard drawing
According to correspondence, specifically include：
Component standard database format, the database structure for carrying out the determination of component age to component data characteristics；
The age confirmation method of component, in the described local-style dwelling houses component age, be to determine algorithm by characteristic.
5. component picture recognition module according to claim 1, it is characterised in that the characteristic that component diagram picture is formed
Collection, is specifically included：
The characteristic data set formed in component diagram picture, including six parameter definitions；
The specific parameter of suspension member characteristic six, including the actual computational methods of six parameters.
6. the component chronicle of one's life of local-style dwelling houses according to claim 1, local-style dwelling houses Life Calculating Methods, it is characterised in that the year of local-style dwelling houses
The computational methods of spectral representation, the life-span of local-style dwelling houses and service life, are specifically included：
The component year spectral representation of local-style dwelling houses and definition；
The year spectral representation of local-style dwelling houses and definition；
The life-span of local-style dwelling houses calculates；
The service life of local-style dwelling houses is calculated.
7. according to claim 2 pair of medium（Infrared imaging and visible ray）Imaging, it is characterised in that effectively distinguish wood
Matter and stone matter（Soil）Component, is specifically included：
Visual light imaging effectively forms the high-resolution of all components（Pixel is enough）Shape so that edge clear, material color
Coloured silk can be distinguished；
Infrared imaging has effectively distinguished stone matter and wood materials, and the imaging rgb value difference of two kinds of materials is more than 50；
Same thing imaging is imaged as, two width are formed（Frame）Image after double medium shootings.
8. the orientation and integrity measure of component according to claim 2, it is characterised in that select this local-style dwelling houses inner member complete
Whole representational component, RFID tag is attached, and is specifically included：
The RFID tag of data will be determined, be fixed in known members；
RFID guides the image to be formed, and can improve the identification quality of image；
The selection of multiple RFID narrow direction reader, the accurate and local-style dwelling houses inner member height of guiding orientation is covered.
9. it is a kind of such as right 1 and the course of work of the requirement of right 2：
1）The component of local-style dwelling houses is determined, a small amount of component correspondence RFID is selected；
2）Start with shape measurement, the component for indicating RFID is carried out with shape detection, until detecting representated by RFID
Component name；
3）Automatic test capture, it is identical with quantification to all component diagram pictures
4）Start historical building chronicle of one's life to calculate, and be output as numerical value, curve map.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610217619.7A CN107273385A (en) | 2016-04-08 | 2016-04-08 | The e measurement technology of historical building chronicle of one's life image |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610217619.7A CN107273385A (en) | 2016-04-08 | 2016-04-08 | The e measurement technology of historical building chronicle of one's life image |
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|---|---|
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|---|---|---|---|
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960346A (en) * | 2018-08-09 | 2018-12-07 | 荣雄 | building similarity analysis platform |
| CN109561239A (en) * | 2018-08-20 | 2019-04-02 | 张亮 | Piece caudal flexure intelligent selection platform |
-
2016
- 2016-04-08 CN CN201610217619.7A patent/CN107273385A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960346A (en) * | 2018-08-09 | 2018-12-07 | 荣雄 | building similarity analysis platform |
| CN109561239A (en) * | 2018-08-20 | 2019-04-02 | 张亮 | Piece caudal flexure intelligent selection platform |
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| PB01 | Publication | ||
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| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171020 |