CN108303427A - Household damaged degree detecting system based on image procossing - Google Patents
Household damaged degree detecting system based on image procossing Download PDFInfo
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- 229910000838 Al alloy Inorganic materials 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
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- 238000009413 insulation Methods 0.000 description 2
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
The household damaged degree detecting system based on image procossing that the present invention relates to a kind of, including：Holder is shot, is arranged in front of building, is used to support image picking-up apparatus；Image picking-up apparatus, including liquid crystal display, CSI output interfaces, image acquisition component, background detection component and setting contrast component；The shooting holder for being erected in front of each building in turn；Described image acquisition component is used to carry out image data acquiring to building to obtain building object image；The shooting direction of described image capture apparatus is adjustable to carries out image data acquiring in turn to obtain corresponding building object image to building different zones.By means of the invention it is possible to improve the exploration speed of wooden forms each to building.
Description
Technical field
The present invention relates to image domains more particularly to a kind of household damaged degree detecting systems based on image procossing.
Background technology
Photographing module generally includes camera and picture processing chip, now more and more with the progress of electronics industry
Product need to be applied on photographing module, such as mobile phone, computer, monitoring product and be required to use photographing module.Camera shooting
The stability of module is closely related with picture processing chip, and existing photographing module in process of production, typically directly exposes
It is aerial.In process of production, picture processing chip is typically fixed on the belt conveyer on assembly line, at this
In the case of kind, due in air there are dust, dust (or the block of other light and smalls is will appear on picture processing chip
Shape object) aggregation, generate dirty the case where.The dirty point generated on picture processing chip can influence the stabilization of entire photographing module
Property.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of wooden forms damaged degree detecting system, one can be established
The electronics prospecting pattern for the full-automatic formula that need not manually participate in is covered, it is each in each building of quick obtaining in a short time
The damaged degree of a wooden forms improves prospecting efficiency to save cost of labor.
More specifically, the present invention at least has following two important inventive points：
(1) internal structure for improving image picking-up apparatus introduces background detection component and setting contrast component with to adopting
The background complexity of the image collected is detected, and adjusts collected image scene based on the background complexity detected
Contrast, to improve the self-adaptive processing ability of image picking-up apparatus；
(2) on the basis of targetedly forms recognition mode, pass through the figure of each region to collected building
As the analysis of damaged degree, the firsthand material of building reparation is directly acquired.
According to an aspect of the present invention, a kind of wooden forms damaged degree detecting system is provided, the system comprises：
Holder is shot, is arranged in front of building, is used to support image picking-up apparatus；
Image picking-up apparatus, including liquid crystal display, CSI output interfaces, image acquisition component, background detection component and right
Component is adjusted than degree；The shooting holder for being erected in front of each building in turn；Described image acquisition component for pair
Building carries out image data acquiring to obtain building object image；The background detection component connects with described image acquisition component
It connects, the detection of background complexity is executed to export current complexity for receiving the building object image, and to the building object image
Spend the factor；The setting contrast component is connect with described image acquisition component and the background detection component respectively, is used for base
The building Image Acquisition of described image acquisition component is adjusted in the current complexity factors so that collected building figure
The contrast of picture is directly proportional to the current complexity factors；The CSI output interfaces are connect with described image acquisition component, are used
Building object image after receiving adjustment as current to correct image output；The liquid crystal display and described image acquisition portion
Part connects, for showing the current amendment image；The shooting direction of described image capture apparatus is adjustable to building
Different zones carry out image data acquiring in turn to obtain corresponding building object image；
Morphological scale-space equipment is connect with described image capture apparatus, for receiving the current amendment image, and to institute
It states current image of correcting and executes Morphological scale-space, to obtain and export processed image；
Silhouettes detection equipment is connect with the Morphological scale-space equipment, for receiving the processed image, to described
Contour line in processed image is detected multiple subgraphs that obtain multiple contour lines, the multiple contour line is surrounded
It is exported as pending subgraph；
Gray processing processing equipment, for receiving the multiple pending subgraph, to the multiple pending subgraph point
Not Zhi Hang gray processing processing, to obtain and export multiple gray processing subgraphs；
Average value extraction equipment is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph,
And the average gray value of each gray level image is determined based on the gray value of each pixel in each gray processing subgraph；
Pixel number detection device is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph,
And determine that the sum of the pixel in each gray processing subgraph is exported using the pixel number as each gray processing subgraph.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the structural schematic diagram for the building to be reconnoitred for including multiple wooden forms.
Fig. 2 is the block diagram according to the wooden forms damaged degree detecting system shown in embodiment of the present invention.
Specific implementation mode
The embodiment of the wooden forms damaged degree detecting system of the present invention is carried out specifically below with reference to accompanying drawings
It is bright.
Comparatively, wooden should be forms frame material the most perfect, no matter for heat-insulated, sound insulation angularly all
There is apparent advantage, and inherent texture and natural figure are more moving.Although wooden, actually have
Solid wood for doing window frame has already been through processing special layer by layer, not only without moisture, it is desirable that higher or even sucked
Fat, so, so-called wooden actually as fossil, solid wood after treatment only remains wood
The appearance of material, quality is but completely different, will not cracking deformation, less suffers insect bite with worry, is corroded, moreover, intensity
It greatly increases.In addition, also a kind of frame structure is referred to as aluminium Bao Mu, the outdoor part of wood frame is one layer of aluminum alloy junction
Structure, in fact, this be combine wood frame thermal insulation is good and advantage that intensity of aluminum alloy is high, integrate, make the best use of the advantages and keep away
It is short.The wooden unique disadvantage of window is exactly that cost is too high.
Damaged and high forms cost present situation is easy in view of wooden forms, need to wooden forms carry out periodically inspection and
Safeguard, however, due to the irregularities that each building inner window is widely distributed and is distributed sometimes, in addition window position compared with
It is high, it is difficult to which that artificial observation causes existing artificial prospecting mode cost too high and inefficiency.
In order to overcome above-mentioned deficiency, the present invention to build a kind of household damaged degree detecting system based on image procossing,
More particularly to a kind of wooden forms damaged degree detecting system, the breakage for all wooden forms for treating prospecting building is realized
Degree quickly detects.
Fig. 1 is the structural schematic diagram for the building to be reconnoitred for including multiple wooden forms.
Fig. 2 is the block diagram according to the wooden forms damaged degree detecting system shown in embodiment of the present invention, institute
The system of stating includes：
Holder is shot, is arranged in front of building, is used to support image picking-up apparatus；
Image picking-up apparatus, including liquid crystal display, CSI output interfaces, image acquisition component, background detection component and right
Component is adjusted than degree；
Wherein, the shooting holder for being erected in front of each building in turn.
Then, continue to carry out further the concrete structure of the wooden forms damaged degree detecting system of the present invention
It is bright.
In the wooden forms damaged degree detecting system：
Described image acquisition component is used to carry out image data acquiring to building to obtain building object image；
The background detection component is connect with described image acquisition component, for receiving the building object image, and to institute
It states building object image and executes the detection of background complexity to export current complexity factors.
In the wooden forms damaged degree detecting system：
The setting contrast component is connect with described image acquisition component and the background detection component respectively, is used for base
The building Image Acquisition of described image acquisition component is adjusted in the current complexity factors so that collected building figure
The contrast of picture is directly proportional to the current complexity factors；
The CSI output interfaces are connect with described image acquisition component, for receiving the building object image after adjusting to make
Currently to correct image output.
In the wooden forms damaged degree detecting system：
The liquid crystal display is connect with described image acquisition component, for showing the current amendment image；
The shooting direction of described image capture apparatus is adjustable to the picture number to the progress of building different zones in turn
According to acquisition to obtain corresponding building object image.
In the wooden forms damaged degree detecting system, further include：
Morphological scale-space equipment is connect with described image capture apparatus, for receiving the current amendment image, and to institute
It states current image of correcting and executes Morphological scale-space, to obtain and export processed image；
Silhouettes detection equipment is connect with the Morphological scale-space equipment, for receiving the processed image, to described
Contour line in processed image is detected multiple subgraphs that obtain multiple contour lines, the multiple contour line is surrounded
It is exported as pending subgraph；
Gray processing processing equipment, for receiving the multiple pending subgraph, to the multiple pending subgraph point
Not Zhi Hang gray processing processing, to obtain and export multiple gray processing subgraphs；
Average value extraction equipment is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph,
And the average gray value of each gray level image is determined based on the gray value of each pixel in each gray processing subgraph；
Pixel number detection device is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph,
And determine that the sum of the pixel in each gray processing subgraph is exported using the pixel number as each gray processing subgraph；
Deviation Analysis equipment is connect respectively with the average value extraction equipment and the pixel number detection device, for connecing
The pixel number of the average gray value and each gray processing subgraph of each gray processing subgraph is received, and to each gray processing
Subgraph executes following processing：Determine that the gray value of each pixel in gray processing subgraph deviates its average gray value
Deviation value, the deviation value is the numerical value more than or equal to zero, by the deviation value of each pixel in the gray processing subgraph
It is added to obtain total deviation value of the gray processing subgraph, by total deviation value of the gray processing subgraph divided by the gray scale
The pixel number of beggar's image is to obtain the deviation average of the gray processing subgraph；
Forms extraction equipment is connect with the Deviation Analysis equipment, and the deviation for receiving each gray processing subgraph is flat
The deviation average of each gray processing subgraph is compared by mean value, in the deviation average for taking each gray processing subgraph
The corresponding gray processing subgraph of deviation average of numerical value minimum is exported as forms subgraph；
Damage index detection device is connect with the forms extraction equipment, for receiving the forms subgraph, and to institute
It states forms subgraph and carries out damaged degree analysis to obtain corresponding damage index；
Wherein, the silhouettes detection equipment is detected the contour line in the processed image to obtain multiple wheels
Profile includes：It is only included in the multiple contour lines obtained small with angle vertically or horizontally in the processed image
In the contour line equal to predetermined angle.
In the wooden forms damaged degree detecting system：
The damage index detection device is also connect with the liquid crystal display；
Wherein, the damage index detection device is used to the corresponding damage index obtained being sent to the liquid crystal display
Screen is to carry out corresponding display operation.
In the wooden forms damaged degree detecting system：
The SOC processing chips of different model are respectively adopted to realize the Morphological scale-space equipment, the silhouettes detection
Equipment, the gray processing processing equipment, the average value extraction equipment, the pixel number detection device, the Deviation Analysis are set
Standby, the described forms extraction equipment and the damage index detection device.
In the wooden forms damaged degree detecting system：
Described image capture apparatus further includes steering mechanism, is connect with described image acquisition component, for adjusting the figure
As the shooting direction of capture apparatus, to carry out image data acquiring in turn to building different zones to obtain corresponding building
Object image.
In addition, System on Chip, abbreviation SOC namely system on chip.It is said from narrow sense angle, it is information system core
The integrated chip of the heart is that system core component is integrated on one chip；It is said from broadest scope, SoC is a microminiature system
System, if central processing unit (CPU) is brain, then SOC is exactly the system for including brain, heart, eyes and hand.Both at home and abroad
SOC is defined as microprocessor, Analog IP core, (or the piece external storage control of digital IP kernel and memory by academia's generally tendency
Interface) it is integrated on one chip, it is typically customization, or the standardized product towards special-purpose.
The substance that SOC is defined is mainly both ways：One is its composition, the second is its forming process.It is system-level
The composition of chip can be system level chip control logic module, microprocessor/microcontroller CPU core module, digital signal
Processor DSP module, the memory module of insertion and the external interface module communicated, the AFE(analog front end) containing ADC/DAC
Module, power supply provides and power managed module, and also having RF front-end module, user to define logic one wireless SoC, (it can
With by FPGA or ASIC realizations) and microelectron-mechanical module, it is often more important that a SOC chip is embedded with basic software
(RDOS or COS and other application software) module or the user software etc. that can be loaded into.
Wooden forms damaged degree detecting system using the present invention, for wooden windows multiple to building in the prior art
Body surveys difficult technical problem simultaneously, by adjusting the shooting direction of image picking-up apparatus to be carried out to building different zones
Image data acquiring in turn is obtained different wooden with obtaining corresponding building object image by targetedly image analysis mechanism
The position of forms, and damaged degree analysis is carried out to the corresponding image of each wooden forms, to be wooden forms and building
The reparation of object provides valuable reference data.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of wooden forms damaged degree detecting system, the system comprises：
Holder is shot, is arranged in front of building, is used to support image picking-up apparatus；
Image picking-up apparatus, including liquid crystal display, CSI output interfaces, image acquisition component, background detection component and contrast
Adjust component；
Wherein, the shooting holder for being erected in front of each building in turn.
2. wooden forms damaged degree detecting system as described in claim 1, it is characterised in that：
Described image acquisition component is used to carry out image data acquiring to building to obtain building object image；
The background detection component is connect with described image acquisition component, is built for receiving the building object image, and to described
It builds object image and executes the detection of background complexity to export current complexity factors.
3. wooden forms damaged degree detecting system as claimed in claim 2, it is characterised in that：
The setting contrast component is connect with described image acquisition component and the background detection component respectively, for being based on institute
State the building Image Acquisition of current complexity factors adjustment described image acquisition component so that collected building object image
Contrast is directly proportional to the current complexity factors；
The CSI output interfaces are connect with described image acquisition component, for receiving the building object image after adjustment using as working as
Preceding amendment image output.
4. wooden forms damaged degree detecting system as claimed in claim 3, it is characterised in that：
The liquid crystal display is connect with described image acquisition component, for showing the current amendment image；
The shooting direction of described image capture apparatus is adjustable to the image data carried out in turn to building different zones and adopts
Collection is to obtain corresponding building object image.
5. wooden forms damaged degree detecting system as claimed in claim 4, which is characterized in that the system also includes：
Morphological scale-space equipment is connect with described image capture apparatus, for receiving the current amendment image, and is worked as to described
Preceding amendment image executes Morphological scale-space, to obtain and export processed image；
Silhouettes detection equipment is connect with the Morphological scale-space equipment, for receiving the processed image, has been located to described
Contour line in reason image be detected multiple subgraphs that obtain multiple contour lines, the multiple contour line is surrounded as
Pending subgraph output；
Gray processing processing equipment holds the multiple pending subgraph for receiving the multiple pending subgraph respectively
Row gray processing processing, to obtain and export multiple gray processing subgraphs；
Average value extraction equipment is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph, and base
The gray value of each pixel determines the average gray value of each gray level image in each gray processing subgraph；
Pixel number detection device is connect with the gray processing processing equipment, for receiving the multiple gray processing subgraph, and really
The sum of pixel in each fixed gray processing subgraph is exported using the pixel number as each gray processing subgraph；
Deviation Analysis equipment is connect with the average value extraction equipment and the pixel number detection device respectively, every for receiving
The pixel number of the average gray value of one gray processing subgraph and each gray processing subgraph, and to each gray processing subgraph
As executing following processing：Determine that the gray value of each pixel in gray processing subgraph deviates the deviation of its average gray value
Value, the deviation value are the numerical value more than or equal to zero, and the deviation value of each pixel in the gray processing subgraph is added
To obtain total deviation value of the gray processing subgraph, by total deviation value of the gray processing subgraph divided by the gray scale beggar
The pixel number of image is to obtain the deviation average of the gray processing subgraph；
Forms extraction equipment is connect with the Deviation Analysis equipment, the deviation average for receiving each gray processing subgraph,
The deviation average of each gray processing subgraph is compared, takes in the deviation average of each gray processing subgraph numerical value most
The corresponding gray processing subgraph of small deviation average is exported as forms subgraph；
Damage index detection device is connect with the forms extraction equipment, for receiving the forms subgraph, and to the window
Body subgraph carries out damaged degree analysis to obtain corresponding damage index；
Wherein, the silhouettes detection equipment is detected the contour line in the processed image to obtain multiple contour lines
Including：Obtain multiple contour lines in only include in the processed image with vertically or horizontally angle be less than etc.
In the contour line of predetermined angle.
6. wooden forms damaged degree detecting system as claimed in claim 5, it is characterised in that：
The damage index detection device is also connect with the liquid crystal display；
Wherein, the damage index detection device be used for by obtain corresponding damage index be sent to the liquid crystal display with
Carry out corresponding display operation.
7. wooden forms damaged degree detecting system as claimed in claim 6, it is characterised in that：
The SOC processing chips of different model are respectively adopted realize the Morphological scale-space equipment, the silhouettes detection equipment,
The gray processing processing equipment, the average value extraction equipment, the pixel number detection device, the Deviation Analysis equipment, institute
State forms extraction equipment and the damage index detection device.
8. the wooden forms damaged degree detecting system as described in claim 5-7 is any, it is characterised in that：
Described image capture apparatus further includes steering mechanism, is connect with described image acquisition component, is clapped for adjusting described image
The shooting direction for taking the photograph equipment, to carry out image data acquiring in turn to building different zones to obtain corresponding building figure
Picture.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810125610.2A CN108303427B (en) | 2018-02-08 | 2018-02-08 | Household damaged degree detection system based on image procossing |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810125610.2A CN108303427B (en) | 2018-02-08 | 2018-02-08 | Household damaged degree detection system based on image procossing |
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| CN108303427A true CN108303427A (en) | 2018-07-20 |
| CN108303427B CN108303427B (en) | 2019-06-04 |
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| CN201810125610.2A Expired - Fee Related CN108303427B (en) | 2018-02-08 | 2018-02-08 | Household damaged degree detection system based on image procossing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108888975A (en) * | 2018-08-17 | 2018-11-27 | 浙江大丰实业股份有限公司 | Stage curtain integrity degree recognition mechanism |
| CN109115384A (en) * | 2018-08-06 | 2019-01-01 | 于贵庆 | Forms multi-parameter collecting system |
| CN109224341A (en) * | 2018-08-14 | 2019-01-18 | 浙江大丰实业股份有限公司 | Fire Curtain isolation effect verifying bench |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104093003A (en) * | 2014-07-24 | 2014-10-08 | 成都市晶林科技有限公司 | Building detection system and method |
| CN105842503A (en) * | 2016-03-25 | 2016-08-10 | 李萍 | Ammeter capable of automatically detecting damage of outer frame |
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2018
- 2018-02-08 CN CN201810125610.2A patent/CN108303427B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104093003A (en) * | 2014-07-24 | 2014-10-08 | 成都市晶林科技有限公司 | Building detection system and method |
| CN105842503A (en) * | 2016-03-25 | 2016-08-10 | 李萍 | Ammeter capable of automatically detecting damage of outer frame |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109115384A (en) * | 2018-08-06 | 2019-01-01 | 于贵庆 | Forms multi-parameter collecting system |
| CN109115384B (en) * | 2018-08-06 | 2019-06-18 | 亮马铝业(深圳)有限公司 | Forms multi-parameter collecting system |
| CN109224341A (en) * | 2018-08-14 | 2019-01-18 | 浙江大丰实业股份有限公司 | Fire Curtain isolation effect verifying bench |
| CN109224341B (en) * | 2018-08-14 | 2020-08-07 | 浙江大丰实业股份有限公司 | Platform for testing isolation effect of fireproof isolation screen |
| CN108888975A (en) * | 2018-08-17 | 2018-11-27 | 浙江大丰实业股份有限公司 | Stage curtain integrity degree recognition mechanism |
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| Publication number | Publication date |
|---|---|
| CN108303427B (en) | 2019-06-04 |
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