CN107845110A - A kind of glass for vehicle window effective area ratio-dependent method - Google Patents

A kind of glass for vehicle window effective area ratio-dependent method Download PDF

Info

Publication number
CN107845110A
CN107845110A CN201710944414.3A CN201710944414A CN107845110A CN 107845110 A CN107845110 A CN 107845110A CN 201710944414 A CN201710944414 A CN 201710944414A CN 107845110 A CN107845110 A CN 107845110A
Authority
CN
China
Prior art keywords
area
glass
pixel
gray value
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710944414.3A
Other languages
Chinese (zh)
Other versions
CN107845110B (en
Inventor
端方勇
任岗
陈亮
孙辰
姚强
翟端正
葛胜迅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Jianghuai Automobile Group Corp
Original Assignee
Anhui Jianghuai Automobile Group Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Jianghuai Automobile Group Corp filed Critical Anhui Jianghuai Automobile Group Corp
Priority to CN201710944414.3A priority Critical patent/CN107845110B/en
Publication of CN107845110A publication Critical patent/CN107845110A/en
Application granted granted Critical
Publication of CN107845110B publication Critical patent/CN107845110B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/28Measuring arrangements characterised by the use of optical techniques for measuring areas
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30268Vehicle interior

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)

Abstract

The invention provides a kind of glass for vehicle window effective area ratio-dependent method, this method includes:Collection includes the image of glass for vehicle window;The coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtains the original pixel grayscale figure of glass for vehicle window, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass;The gray value for each pixel for descending described image at different moments can be obtained by the mode of the IMAQ and image procossing present invention, because gray value is related to the visibility of glass, therefore can according to the initial gray value of each pixel and at different moments under gray value identification visual boundary, and then the present invention is caused to determine effective area ratio according to the area and the area of described image that visual boundary is surrounded, the effective area ratio is to be obtained by machinery equipment according to certain algorithm, is substantially improved relative to manually-operated efficiency, accuracy and repeatability.

Description

A kind of glass for vehicle window effective area ratio-dependent method
Technical field
The present invention relates to automobile technical field, more particularly to a kind of glass for vehicle window effective area ratio-dependent method.
Background technology
The demisting defrosting performance of vehicle directly influence driver in bad weather can normal safe driving vehicle, This has influence on the safety and comfort level of passenger.
When ambient temperature is less than vehicle interior temperature, when in-car sluggish in air circulation, the gas humidity of passenger exhalation is big, meets Small water droplet can be condensed into colder windshield to be attached on windshield inner surface, make the transparency degradation of glass, And not easy-clear, therefore the sight of driver is also destroyed.The white position and position of fog is whole conversely, there exist well on vehicle window In the outer surface of glass, white generation also influences whether the sight of driver.
Demisting is to blow baking using hot blast to melt the frost on glass outer surface mostly except defrosting system, or cold wind is blown on inner surface Small water droplet, so as to reach recover the visual field effect.Under subenvironment in compartment, the shadow of the flowing of air-flow by factors Ring, such as:Shape, the arrangement of air outlet, the size of air quantity, the quantity of passenger, position, different vehicles etc. are, it is necessary to right Vehicle-mounted demisting carries out integration test and evaluation except the performance of defrosting system.
The current mist judged in air conditioning for automobiles demisting defrosting performance, the areal calculation of frost, are all to take mark by tester Pen, every one equal time draws mist on automobile left side glass pane, front windshield and right side glass pane, frost dissipates Region, the area that mist, frost dissipate at different moments is then calculated, is contrasted with default criterion, to judge that air conditioning for automobiles removes Mist defrosting performance.Due to removing the fog dissipation procedure boundary figure on fog-zone and glass, the experiment effect of this method using manual drawing Rate is relatively low, and test data is not accurate enough, and precision is not high enough.
The content of the invention
The present invention provides a kind of glass for vehicle window effective area ratio-dependent method, it is intended to solves vehicle glass in the prior art The problem of visual test efficiency is relatively low, and test data is not accurate enough, and precision is not high enough.
The invention provides a kind of glass for vehicle window effective area ratio-dependent method, including:
Collection includes the image of glass for vehicle window;
The coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtains the initial picture of glass for vehicle window Plain gray-scale map, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass;
The gray value for each pixel for descending described image at different moments is obtained, gray value is related to the visibility of glass;
Gray value identification visual boundary under according to the initial gray value of each pixel and at different moments;
The area and the area of described image surrounded according to visual boundary determines effective area ratio.
Preferably, methods described also includes:
Before the image comprising glass for vehicle window is gathered, by glass unit divisi8 into including first area, second area and the 3rd Region;
The image of the first area, the second area and the 3rd region is gathered, and obtains described first respectively The original pixel grayscale figure in region, the second area and the 3rd region;
After the effective area ratio of the first area, the second area and the 3rd region is obtained, according to The percentage of the defrosting or defogging of effective area ratio-dependent first area, second area and the 3rd region;
According to the percentage of defrosting or defogging reach default defrosting threshold value or default demisting threshold value duration determine defrosting or The performance of demisting.
Preferably, it is described by glass unit divisi8 into including first area, second area and the 3rd region, including:
According to longitudinal vertical plane, seating reference point and the seat back angle of driver's seating position center line, really Surely the area that the intersection that 4 planes that two points of sign driver's eyes extend forward intersect with glass surface is closed;
Using the area as first area;
Using the vertical center line of glass as axis, the region with the symmetrical glass in the first area is as second area;
In the first area and the region on the basis of the inside at least Minimum Area of the first length of glass edge;
Using the vertical center line of glass as axis, the region with the symmetrical glass of the reference area, with the reference region Domain sum is as the 3rd region.
Preferably, the coordinate of each pixel for obtaining described image corresponding with the glass for vehicle window, obtains vehicle window The original pixel grayscale figure of glass includes:
The square marks of specified size are set on glass for vehicle window;
Camera collection positioned at specified location includes the image of glass for vehicle window, obtains the transverse direction of the square marks in image Pixel number and longitudinal pixel number;
The actual side of the horizontal pixel point numbers of square marks in image, longitudinal pixel number and square marks Long acquisition pixel point areas and pixel correspond to the proportionality coefficient of transparency area;
First area image, second area image and the 3rd area are obtained according to the image of the proportionality coefficient and glass for vehicle window The coordinate of each pixel of area image;
Each picture of first area image, second area image and the 3rd area image when defrosting or defogging experiment is started The gray value of vegetarian refreshments is set to initial value.
Preferably, the gray value for obtaining each pixel for descending described image at different moments includes:
A gray value ordered series of numbers is set for each pixel,
The gray value of each pixel of described image under each sampling instant is obtained, and is stored in grey corresponding to each pixel In angle value ordered series of numbers, or the gray value of each pixel according to specified sample period acquisition described image, and it is stored in each pixel In gray value ordered series of numbers corresponding to point.
Preferably, the initial gray value according to each pixel and at different moments under gray value identify visual boundary bag Include:
For the current grayvalue of each pixel compared with gray value difference, the gray value difference is the first of pixel The difference of beginning gray value and current grayvalue;
At glass it is viewing area corresponding to the pixel if current grayvalue is more than gray value difference;
At glass it is not visible region corresponding to the pixel if current grayvalue is more than gray value difference;
Visual boundary is identified according to viewing area.
Preferably, methods described also includes:
Visual boundary of the glass for vehicle window at several specified moment is obtained respectively;
The visual boundary at different specified moment is configured to different colours;
The visual boundary of different colours is superimposed in one drawing to show the change of visual boundary dynamic.
Preferably, included by image acquisition device image, described image harvester:
Camera support base, the first hollow circular-tube, Fixture for tube of seat, the second hollow circular-tube, head, stay-warm case and camera;
The camera support base is fixed with first hollow circular-tube by way of screw thread compression, and described first is hollow Connected between pipe and second hollow circular-tube by the Fixture for tube of seat, to adjust the stay-warm case and the camera and ground The distance between face, second hollow circular-tube are connected through a screw thread with the head, and the stay-warm case is fixed on the head On, the stay-warm case is located on the camera, and the head is used for the posture for adjusting the camera.
Preferably, the stay-warm case has heating and heat preserving function, and is sealing cover structure, to prevent the camera by ring Border moisture effect.
Preferably, described image harvester also includes:Several light sources.
The invention discloses a kind of glass for vehicle window effective area ratio-dependent method, including:Collection includes glass for vehicle window Image;The coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtains the initial pixel of glass for vehicle window Gray-scale map, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass;Pass through image The mode of collection and image procossing causes the present invention to obtain the gray value for each pixel for descending described image at different moments, by It is related to the visibility of glass in gray value, thus can according to the initial gray value of each pixel and at different moments under gray scale Value identification visual boundary, and then the present invention can be determined according to the area for the area and described image that visual boundary is surrounded Effective area ratio, the effective area ratio is to be obtained by machinery equipment according to certain algorithm, relative to manually-operated effect Rate, accuracy and repeatability are substantially improved.
Further, the present invention gather comprising glass for vehicle window image before, by glass unit divisi8 into including first area, Second area and the 3rd region, wherein, first area, second area are pilot's line of vision important area, the visibility in the region Importance it is higher relative to other regions, the visibility test result that can be finally given by the division and driver Actual demand is more consistent, and the reference value of test result is higher.
Further, The present invention gives first area, the secondth area are specifically obtained from the image comprising glass for vehicle window Domain and the acquisition methods in the 3rd region:Because first area, second area and the 3rd region are not the borderline region of glass for vehicle window, Method provided by the invention can be extracted to the most important region of Driver Vision with precise and high efficiency from glass for vehicle window.
Further, because frost, mist etc. itself have certain transparency, when causing glass not visible by frost, mist etc., glass Whether not the transparency of glass has a greater change scope, it is impossible to simply whether exceed given threshold with gray value to judge glass Visually, the present invention is with dynamic algorithm:The magnitude relationship of current grayvalue and gray value difference judges whether glass is visual, calculates Method is simple, and adapts to cause the not visible situation of glass in frost, mist etc..
Further, the present invention obtains visual boundary of the glass for vehicle window at several specified moment respectively;When difference is specified The visual boundary at quarter is configured to different colours;The visual boundary of different colours is superimposed in one drawing to show visual boundary Change dynamic.The present invention is so caused to demonstrate demisting, the dynamic process of defrosting in a manner of simple, intuitive.
Brief description of the drawings
, below will be to institute in embodiment in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only one described in the present invention A little embodiments, for those of ordinary skill in the art, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the first flow according to glass for vehicle window effective area ratio-dependent method provided in an embodiment of the present invention Figure;
Fig. 2 is second of flow according to glass for vehicle window effective area ratio-dependent method provided in an embodiment of the present invention Figure;
Fig. 3 is a kind of flow chart according to the method provided in an embodiment of the present invention by glass unit divisi8 region;
Fig. 4 is to be flowed according to a kind of the of method of the original pixel grayscale figure of acquisition glass for vehicle window provided in an embodiment of the present invention Cheng Tu;
Fig. 5 is a kind of structural representation according to image collecting device provided in an embodiment of the present invention;
Fig. 6 is enlarged drawing at Fig. 5 A;
Fig. 7 is enlarged drawing at Fig. 6 B;
Fig. 8 is enlarged drawing at Fig. 5 C.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not construed as limiting the claims.
Glass for vehicle window effective area ratio-dependent method provided by the invention, the gray scale of the image by obtaining glass for vehicle window Figure carrys out the visibility of the glass for vehicle window of automatic identification at different moments, relative to the efficiency, accuracy and repeatability of manual testing It is substantially improved.
In order to be better understood from technical scheme and technique effect, below with reference to flow chart and specific implementation Example is described in detail.
The embodiments of the invention provide a kind of glass for vehicle window effective area ratio-dependent method, as shown in figure 1, for according to this The first flow chart for the glass for vehicle window effective area ratio-dependent method that inventive embodiments provide, this method include following step Suddenly:
S01, collection include the image of glass for vehicle window.
In the present embodiment, the image of glass for vehicle window can be included by imaging first-class collection, for example, camera is set up In specified location in the car or outside car, preferably set up in the car, and imitate the position of the eyes of driver, the figure so obtained As more pressing close to real demand.
S02, the coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtain the first of glass for vehicle window Beginning pixel grey scale figure, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass.
In the present embodiment, due to not only including glass for vehicle window in the image of collection, additionally including miscellaneous part, these Part can disturb processing result image, therefore, it is necessary to the image of glass for vehicle window is plucked out from the image of collection, specifically, It can carry out scratching figure by the coordinate for each pixel for obtaining described image corresponding with the glass for vehicle window, then obtain and pluck out Figure gray-scale map.In being tested for defrosting, demisting etc., the initial value of gray-scale map should be not visible corresponding gray value, And in other experiments, such as soda acid etc. is in the erosion test of glass, initial gray value corresponding to glass should be visual phase Corresponding gray value.
S03, obtain the gray value for each pixel for descending described image at different moments, the visibility phase of gray value and glass Close.
In the present embodiment, the gray value of each pixel in image can be obtained by prior art.Preferably, it is each Pixel sets a gray value ordered series of numbers, obtains the gray value of each pixel of described image under each sampling instant, and store In gray value ordered series of numbers corresponding to each pixel, or the gray scale of each pixel according to specified sample period acquisition described image Value, and be stored in gray value ordered series of numbers corresponding to each pixel.
S04, according to the initial gray value of each pixel and at different moments under gray value identification visual boundary.
In the present embodiment, gray-scale map can be subjected to binary conversion treatment, obtains binary map, then obtained from binary map Visual boundary.
Specifically, for the current grayvalue of each pixel compared with gray value difference, the gray value difference is picture The initial gray value of vegetarian refreshments and the difference of current grayvalue;If current grayvalue is more than gray value difference, the pixel pair It is viewing area at the glass answered;If current grayvalue is more than gray value difference, for not at glass corresponding to the pixel Viewing area.So actually carried out binary conversion treatment to gray-scale map, the process of binary conversion treatment be not with single threshold value, and It is that dynamic is handled so that the result after binary conversion treatment more conforms to the area in visual/not visible region under the scenes such as frost, mist Point.Then visual boundary is identified according to viewing area.
S05, the area and the area of described image surrounded according to visual boundary determine effective area ratio.
In the present embodiment, by obtaining of the pixel in the number of pixel and non-visual boundary area in visual boundary Number, then with the total number of the pixel in visual boundary divided by total number of pixels of glass image.
Glass for vehicle window effective area ratio-dependent method provided by the invention, including:Collection includes the image of glass for vehicle window; The coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtains the original pixel grayscale of glass for vehicle window Figure, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass;Pass through IMAQ And the mode of image procossing causes the present invention to obtain the gray value for each pixel for descending described image at different moments, due to ash Angle value is related to the visibility of glass, thus can according to the initial gray value of each pixel and at different moments under gray value know Other visual boundary, and then it is visual make it that the present invention can determine according to the area for the area and described image that visual boundary is surrounded Area ratio, the effective area ratio is to be obtained by machinery equipment according to certain algorithm, relative to manually-operated efficiency, essence Exactness and repeatability are substantially improved.
As shown in Fig. 2 second of the glass for vehicle window effective area ratio-dependent method provided according to embodiments of the present invention Flow chart.
In the present embodiment, methods described also includes:
S21, gather comprising glass for vehicle window image before, by glass unit divisi8 into including first area, second area and 3rd region.
In the present embodiment, it is contemplated that the different zones of glass for vehicle window are different to Driver Vision image degree, therefore, When evaluating demisting, defrosting and other effects, it should difference evaluation is carried out for the different zones of glass, to cause evaluation result more to stick on Close actual impression.Wherein, first area is to the most important visual zone of driver, for example, region in face of driver etc..
Specifically, as shown in figure 3, being flowed for one kind according to the method provided in an embodiment of the present invention by glass unit divisi8 region Cheng Tu.Including:
S31, according to longitudinal vertical plane, seating reference point and the backrest angle of driver's seating position center line Degree, it is determined that the face that the intersection that 4 planes that two points for characterizing driver's eyes extend forward intersect with glass surface is closed Product.
In a specific embodiment, software programming by driver's seating position (if barbed chair, then should be by seat Chair is adjusted to rearmost position) table that determines of longitudinal vertical plane of center line, seating reference point and design seat back angle The point of driver eye positions is levied, 4 planes that the two points extend forward are sealed with the intersection that windscreen outer surface is intersected The area closed determines the first area of front windshield.Wherein 4 planes refer to respectively by two points and on a left side for X-axis respectively Side and X-axis into 13 ° of angles vertical plane, by first point with X-axis into 3 ° of elevations angle and the plane parallel with Y-axis, pass through second point With X-axis into 1 ° of angle of depression and the plane parallel with Y-axis, pass through and second point at first point to X right side and X-axis into the vertical at 13 ° of angles Plane.Obtain the actual three-dimensional coordinate of first area.
S32, using the area as first area.
S33, using the vertical center line of glass as axis, the region with the symmetrical glass in the first area is as the secondth area Domain.
S34, in the first area and the region on the basis of the inside at least Minimum Area of the first length of glass edge.
In a specific embodiment, the area of the air regulator outer surface surrounded by 4 planes and saturating away from windscreen Inwardly at least 25 millimeters of bright area edge, reference area is determined to be defined compared with small area, is passed through wherein 4 planes refer to respectively First point with X-axis into 7 ° of elevations angle and the plane parallel with Y-axis, by second point and X-axis into 5 ° of angles of depression and parallel with Y-axis flat Face, by first and second points in X left side and vertical plane of the X-axis into 17 ° of angles, the face on the basis of automobile longitudinal central plane And with passing through the symmetrical plane of vertical plane of and second point in X left side with X-axis into 17 ° of angles at first point.
S35, using the vertical center line of glass as axis, the region with the symmetrical glass of the reference area, with the base Quasi- region sum is as the 3rd region.
The actual coordinate value of first area, second area and the 3rd region can be obtained by S31 to S35, i.e., by glass It is divided into including first area, second area and the 3rd region.
S22, the image of the first area, the second area and the 3rd region is gathered, and respectively described in acquisition The original pixel grayscale figure of first area, the second area and the 3rd region.
Specifically, corresponding with the glass for vehicle window first area, the second area and the 3rd area are obtained The coordinate of each pixel of the image in domain, i.e., obtain the image in each region from the image of collection, and then obtains firstth area The original pixel grayscale figure in domain, the second area and the 3rd region.
In a specific embodiment, as shown in figure 4, for according to the first of acquisition glass for vehicle window provided in an embodiment of the present invention A kind of flow chart of the method for beginning pixel grey scale figure, this method include:
S41, the square marks of specified size are set on glass for vehicle window.
S42, the camera collection positioned at specified location include the image of glass for vehicle window, the square marks in acquisition image Horizontal pixel point number and longitudinal pixel number.
S43, the reality of the horizontal pixel point numbers of the square marks in image, longitudinal pixel number and square marks The border length of side obtains pixel point areas and pixel corresponds to the proportionality coefficient of transparency area.
S44, first area image, second area image and the are obtained according to the image of the proportionality coefficient and glass for vehicle window The coordinate of each pixel of three area images.Due to having had the first area of glass for vehicle window, second area and the 3rd region Actual three-dimensional coordinate, the image of glass for vehicle window, obtain the firstth area in image of the can after obtaining proportionality coefficient from collection The image in domain, second area and the 3rd region.In addition, can so filter out other region chaff interferences, above three is only handled The image in region, processing speed can be improved.
S45, by first area image during defrosting or defogging experiment beginning, second area image and the 3rd area image The gray value of each pixel is set to initial value.
The initial pixel of the first area, the second area and the 3rd region can be obtained by above-mentioned steps Gray-scale map.
S23, after the effective area ratio of the first area, the second area and the 3rd region is obtained, According to the percentage of the defrosting or defogging in effective area ratio-dependent first area, second area and the 3rd region.
S24, the duration that default defrosting threshold value or default demisting threshold value are reached according to the percentage of defrosting or defogging determine to remove The performance of frost or demisting.
In other embodiments, in order to show defrosting, demisting dynamic process, methods described can further include with Lower step:Visual boundary of the glass for vehicle window at several specified moment is obtained respectively;The visual boundary at different specified moment is configured For different colours;The visual boundary of different colours is superimposed in one drawing to show the change of visual boundary dynamic.
In a preferred embodiment, illustrated by taking front windshield as an example:The first of glass for vehicle window is obtained first Region, second area, the actual D coordinates value in the 3rd region.
Data acquisition software is write on the PC, recognizable mark is sticked on front windshield, labeled as side Long 100mm square blank sheet of paper marks as identification.
Collection one has the front windshield figure that identification marks, and chooses front windshield effective coverage manually by software, The pixel coordinate value in region is obtained, then the region P containing identifiable marker is chosen from effective coverage expert is dynamic, other regions are done Disturb thing to filter out, the content in a processing region P, processing speed can be improved, ask for the long number of pixels x of mark in the P of region and Wide number of pixels y, takes long number of pixels x and the wide number of pixels y arithmetic mean of instantaneous values to be(it can so avoid due to preceding Not exclusively it is vertical relation between windshield and video camera, the problem of causing anamorphose, the degree of accuracy of demarcation can be improved, And then improve the degree of accuracy of the image in each region obtained), known identification mark length of side 100mm, is calculated in step III The proportionality coefficient of actual value and imageThe actual coordinate value of instruction carriage first area, the 3rd region and second area The pixel coordinate value of instruction carriage first area on image, the 3rd region and second area is converted into, has now obtained first The pixel coordinate of region, the 3rd region and second area on whole figure, the front windshield process gathered by test software Figure shows three first area, the 3rd region and second area regions, three first area, the 3rd region and second area areas Domain is that front removes fog-zone.
Result figure is stored in the Fixed disk file of PC with BMP forms.
When demisting, which is tested, to be started, one artwork of collection per second, the front windshield effective district obtained according to step before The pixel coordinate value in domain, every artwork are all first sheared, and are obtained the image of only front windshield effective coverage, are worked as front windshield Glass is covered with mist, chooses first figure for being covered with mist of on-test as reference chart, and front windshield glass is attached in experimentation Mist on glass dribbles, and for the figure of the fog dissipation on its front windshield as procedure chart, every procedure chart has its gray value A The gray value B that (A1, A2, A3, A4 ...) and front windshield are covered with the figure of mist carries out that gray value difference C is calculated, such as formula (1) It is shown:
C=A-B (1)
During experiment, in addition to reference chart, every front windshield fog dissipation procedure chart has its corresponding gray value differences Value C, original procedure figure are first converted into two-dimensional array, obtain the gray value that two-dimensional array is each put, the gray value and gray scale of at every Value difference value C compares, if being more than gray value difference C, is determined as the region that mist has dissipated, i.e., fogless region R, sets no fog-zone Domain R gray value is 255, if being less than gray value difference C, is determined as fog bank S, sets fog bank S gray value It is 0, obtains the two-dimensional array that gray value only has 0 and 255, then be converted into a gray value from two-dimensional array and there was only 0 and 255 The result figure (i.e. binary map) of BMP forms.
Judge there is mist and fogless side in every procedure chart of the fog dissipation on front windshield by gray value difference C Boundary, it is fog dissipation region in border, is fog bank outside border, you can fog dissipation region in filling border and calculates fog dissipation Region obtains percentage.Preferably, the above results figure is carried out expansion 3 times, corrodes 2 times and filters out noise particle, finally filled out Fill hollow sectors in connected region, you can obtain fog dissipation process processing figure in real time with per second, judge there is fog-zone on front windshield Domain S and fogless region R, and fogless region R sum of all pixels m is calculated.
Fog-zone first area, second area and the 3rd area pixel coordinate are removed according to the front obtained before, according to three The pixel coordinate in region is divided into three regions, i.e. first area, second area and the 3rd area on fog dissipation process processing figure Domain, it is n1 that first area sum of all pixels, which is calculated, by pixel coordinate, and first area fog dissipation pixel count is m1, second area picture Plain sum is n2, and second area fog dissipation pixel count is m2, and the 3rd area pixel sum is n3, the 3rd region fog dissipation pixel count For m3, it is m1/n1 to learn first area fog dissipation percentage, and second area fog dissipation percentage is m2/n2, and the 3rd region mist disappears It is m3/n3 to dissipate percentage.
According to demisting test period 10min qualifications, choose successively on-test 2min, 4min, 6min, 8min and 10min five opens the visual boundary of fog dissipation process, and sets different colours to each visual boundary, is folded successively according to the time Add, obtain a cromogram, then by front except fog-zone first area, second area and the 3rd area pixel coordinate are superimposed upon colour On figure, you can obtain the design sketch of a demisting experiment.
In addition, in order to further lift the degree of accuracy of the judgement of visibility, following handle can be carried out to gray value difference:
The gray value difference C (C1, C2, C3, C4 ...) each put in front windshield effective coverage is calculated, will be each The gray value difference of point sorts according to sizes values order, is divided into 15 parts, x-axis corresponding grey scale difference, from left to right gray scale Successively from as low as greatly, y-axis corresponds to each gray scale difference values of effective coverage Q and occupies ratio difference, and y-axis is sequentially chosen from right to left with x-axis Occupy gray scale difference value Cn corresponding to ratio accumulative 90%, then Cm, i.e. Cm=k2 × Cn are compensated to obtain by coefficient k 2.
, can be with automatic identification glass for vehicle window using glass for vehicle window effective area ratio-dependent method provided by the invention First area, second area and the 3rd region, gather and automatically process demisting procedure chart in each region, form fog dissipation border Design sketch and automatic calculating fog dissipation percentage.
As shown in figure 5, it is a kind of structural representation according to image collecting device provided in an embodiment of the present invention.Fig. 6 is Enlarged drawing at Fig. 5 A;Fig. 7 is enlarged drawing at Fig. 6 B;Fig. 8 is enlarged drawing at Fig. 5 C.
In the present embodiment, described image harvester includes:
Camera support base 1, the first hollow circular-tube 2, Fixture for tube of seat 3, the second hollow circular-tube 4, head 5, stay-warm case 6 are with taking the photograph As first 7.
The camera support base 1 is fixed with first hollow circular-tube 2 by way of screw thread compression, and described first is empty Connected between heart pipe 2 and second hollow circular-tube 4 by the Fixture for tube of seat 3, to adjust the stay-warm case 6 and the shooting The distance between first 7 and ground, second hollow circular-tube 4 are connected through a screw thread with the head 5, and the stay-warm case 6 is fixed On the head 5, the stay-warm case 6 is located on the camera 7, and the head 5 is used for the appearance for adjusting the camera 7 State.
Specifically, there are polytype instruction carriage, including the vehicle such as commercial car, passenger car in being tested due to heat pump performance, take the photograph As first 7 position is modified according to instruction carriage type, so passing through between the first hollow circular-tube 2 and the second hollow circular-tube 4 Fixture for tube of seat 3 connects, and with distance above and below telescopic adjustment, can adjust the height of stay-warm case 6 and camera 7, make camera 7 complete Photograph the front windshield region of instruction carriage.
First hollow circular-tube 2 and the designing material of the second hollow circular-tube 4 are stainless steel material, and quality is light and handy, be easy to carry with It is mobile.Camera support base 1, the first hollow circular-tube 2 and the three of the second hollow circular-tube 4 closely connect, three's bending resistance, resistance to torsion Can be excellent, can low temperature, powerful cold wind test environment under, ensure that stay-warm case 6 and camera 7 are supported on being stably fixed at Apart from ground 2m level above, and camera 7 will not be by effect of jitter.Second hollow circular-tube 4 is connected with head 5 by screw thread Connect, belong to interference fit, it is close to reinforce the second hollow circular-tube 4 and head 5.Stay-warm case 6 is firm to be placed on head 5, the energy of head 5 Pose adjustment is carried out to the camera 7 in stay-warm case 6.
Preferably, the stay-warm case 6 has a heating and heat preserving function, and is sealing cover structure, with prevent the camera 7 by Humid environment influences.
For example, stay-warm case 6 can carry out heating function, heat insulation function and automatic circuit break function.Carry out heat pump performance demisting survey During examination, the low temperature bin for parking instruction carriage is cooled, the temperature of camera 7 decreases, when camera 7 temperature be less than 0 DEG C, Stay-warm case 6 is heated, and prevents camera 7 from being broken down because of low temperature environment.Adding around stay-warm case 6 has heat-preservation cotton, while to taking the photograph As head insulation, camera 7 can in real time monitor and gather the image of the change procedure of front windshield at low ambient temperatures always. Stay-warm case 6 can be dismantled simultaneously, the convenient camera 7 adjusted inside stay-warm case 6;When in low temperature bin progress fog removal performance experiment When, humidity can increase in low temperature bin, so stay-warm case 6 is fully sealed, prevent that camera 7 from being influenceed by humid environment.Camera 7 can Specific select can be in low temperature:The industrial camera of normal work can be kept in -40 DEG C of extreme environment, is prevented because stay-warm case 6 is imitated Fruit is bad, causes camera 7 to break down.
In another embodiment, described image harvester also includes:Several light sources.Because single source may cause Brightness on glass for vehicle window is inconsistent, and this can influence test result.It is preferred that using 2 light sources, the first light source fixed placement is in car On interior front-row seats headrest, secondary light source and the 3rd light source are arranged in front windshield both sides, improve front windshield area Domain brightness.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment Point mutually referring to.Although the present invention is disclosed as above with preferred embodiment, but is not limited to the present invention.It is any ripe Know those skilled in the art, without departing from the scope of the technical proposal of the invention, all using the disclosure above method and Technology contents make many possible changes and modifications to technical solution of the present invention, or are revised as the equivalence enforcement of equivalent variations Example.Therefore, every content without departing from technical solution of the present invention, the technical spirit according to the present invention is to made for any of the above embodiments Any simple modifications, equivalents, and modifications, still fall within technical solution of the present invention protection in the range of.

Claims (10)

  1. A kind of 1. glass for vehicle window effective area ratio-dependent method, it is characterised in that including:
    Collection includes the image of glass for vehicle window;
    The coordinate of each pixel of described image corresponding with the glass for vehicle window is obtained, obtains the initial pixel ash of glass for vehicle window Degree figure, the initial gray value of each pixel of original pixel grayscale figure is the not visible gray value of sign glass;
    The gray value for each pixel for descending described image at different moments is obtained, gray value is related to the visibility of glass;
    Gray value identification visual boundary under according to the initial gray value of each pixel and at different moments;
    The area and the area of described image surrounded according to visual boundary determines effective area ratio.
  2. 2. according to the method for claim 1, it is characterised in that methods described also includes:
    Before the image comprising glass for vehicle window is gathered, by glass unit divisi8 into including first area, second area and the 3rd region;
    Gather the image of the first area, the second area and the 3rd region, and obtain respectively the first area, The second area and the original pixel grayscale figure in the 3rd region;
    After the effective area ratio of the first area, the second area and the 3rd region is obtained, according to visual Area ratio determines the percentage of the defrosting or defogging of first area, second area and the 3rd region;
    The duration for reaching default defrosting threshold value or default demisting threshold value according to the percentage of defrosting or defogging determines defrosting or defogging Performance.
  3. 3. according to the method for claim 2, it is characterised in that it is described by glass unit divisi8 into including first area, the secondth area Domain and the 3rd region, including:
    According to longitudinal vertical plane, seating reference point and the seat back angle of driver's seating position center line, table is determined The area that the intersection that 4 planes that two points of sign driver's eyes extend forward intersect with glass surface is closed;
    Using the area as first area;
    Using the vertical center line of glass as axis, the region with the symmetrical glass in the first area is as second area;
    In the first area and the region on the basis of the inside at least Minimum Area of the first length of glass edge;
    Using the vertical center line of glass as axis, the region with the symmetrical glass of the reference area, with the reference area it With as the 3rd region.
  4. 4. according to the method for claim 3, it is characterised in that described to obtain described image corresponding with the glass for vehicle window Each pixel coordinate, obtaining the original pixel grayscale figure of glass for vehicle window includes:
    The square marks of specified size are set on glass for vehicle window;
    Camera collection positioned at specified location includes the image of glass for vehicle window, obtains the horizontal pixel of the square marks in image Point number and longitudinal pixel number;
    The actual length of side of the horizontal pixel point numbers of square marks in image, longitudinal pixel number and square marks obtains Pixel point areas and pixel is taken to correspond to the proportionality coefficient of transparency area;
    First area image, second area image and the 3rd administrative division map are obtained according to the image of the proportionality coefficient and glass for vehicle window The coordinate of each pixel of picture;
    Each pixel of first area image, second area image and the 3rd area image when defrosting or defogging experiment is started Gray value be set to initial value.
  5. 5. according to the method for claim 1, it is characterised in that described to obtain each pixel for descending described image at different moments Gray value include:
    A gray value ordered series of numbers is set for each pixel,
    The gray value of each pixel of described image under each sampling instant is obtained, and is stored in gray value corresponding to each pixel In ordered series of numbers, or the gray value of each pixel according to specified sample period acquisition described image, and it is stored in each pixel pair In the gray value ordered series of numbers answered.
  6. 6. according to the method for claim 5, it is characterised in that the initial gray value according to each pixel and it is different when The gray value identification visual boundary inscribed includes:
    For the current grayvalue of each pixel compared with gray value difference, the gray value difference is the initial ash of pixel The difference of angle value and current grayvalue;
    At glass it is viewing area corresponding to the pixel if current grayvalue is more than gray value difference;
    At glass it is not visible region corresponding to the pixel if current grayvalue is more than gray value difference;
    Visual boundary is identified according to viewing area.
  7. 7. according to the method for claim 6, it is characterised in that methods described also includes:
    Visual boundary of the glass for vehicle window at several specified moment is obtained respectively;
    The visual boundary at different specified moment is configured to different colours;
    The visual boundary of different colours is superimposed in one drawing to show the change of visual boundary dynamic.
  8. 8. according to the method described in any one of claim 1 to 7, it is characterised in that pass through image acquisition device image, institute Stating image collecting device includes:
    Camera support base (1), the first hollow circular-tube (2), Fixture for tube of seat (3), the second hollow circular-tube (4), head (5), insulation Cover (6) and camera (7);
    The camera support base (1) is fixed with first hollow circular-tube (2) by way of screw thread compression, and described first is empty Be connected between heart pipe (2) and second hollow circular-tube (4) by the Fixture for tube of seat (3), with adjust the stay-warm case (6) and The distance between the camera (7) and ground, second hollow circular-tube (4) are connected through a screw thread with the head (5), institute State stay-warm case (6) to be fixed on the head (5), the stay-warm case (6) is located on the camera (7), the head (5) For adjusting the posture of the camera (7).
  9. 9. according to the method for claim 8, it is characterised in that the stay-warm case (6) has heating and heat preserving function, and is close Closure structure, to prevent that the camera (7) from being influenceed by humid environment.
  10. 10. according to the method for claim 8, it is characterised in that described image harvester also includes:Several light sources.
CN201710944414.3A 2017-09-30 2017-09-30 Method for determining proportion of visible area of window glass Active CN107845110B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710944414.3A CN107845110B (en) 2017-09-30 2017-09-30 Method for determining proportion of visible area of window glass

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710944414.3A CN107845110B (en) 2017-09-30 2017-09-30 Method for determining proportion of visible area of window glass

Publications (2)

Publication Number Publication Date
CN107845110A true CN107845110A (en) 2018-03-27
CN107845110B CN107845110B (en) 2020-07-24

Family

ID=61661293

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710944414.3A Active CN107845110B (en) 2017-09-30 2017-09-30 Method for determining proportion of visible area of window glass

Country Status (1)

Country Link
CN (1) CN107845110B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110132612A (en) * 2019-05-31 2019-08-16 中国汽车工程研究院股份有限公司 A kind of defrosting effect scalarization method suitable for the performance test that defrosts
CN110406346A (en) * 2018-04-26 2019-11-05 上海博泰悦臻网络技术服务有限公司 Air conditioning control method, system and vehicle based on Image Acquisition
CN111251830A (en) * 2020-02-19 2020-06-09 王英婷 Intelligent blowing heating driving system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150114952A1 (en) * 2013-10-24 2015-04-30 National Tsing Hua University Flexible transparent film heater
CN104908718A (en) * 2015-06-29 2015-09-16 吉林大学 Automobile glass automatic defogging system and method based on transmittance and relative humidity
CN104908555A (en) * 2015-06-29 2015-09-16 吉林大学 Automobile glass optical defogging system and method
CN106515369A (en) * 2016-11-29 2017-03-22 北京汽车研究总院有限公司 Control method and device for vehicle air conditioner

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150114952A1 (en) * 2013-10-24 2015-04-30 National Tsing Hua University Flexible transparent film heater
CN104908718A (en) * 2015-06-29 2015-09-16 吉林大学 Automobile glass automatic defogging system and method based on transmittance and relative humidity
CN104908555A (en) * 2015-06-29 2015-09-16 吉林大学 Automobile glass optical defogging system and method
CN106515369A (en) * 2016-11-29 2017-03-22 北京汽车研究总院有限公司 Control method and device for vehicle air conditioner

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110406346A (en) * 2018-04-26 2019-11-05 上海博泰悦臻网络技术服务有限公司 Air conditioning control method, system and vehicle based on Image Acquisition
CN110132612A (en) * 2019-05-31 2019-08-16 中国汽车工程研究院股份有限公司 A kind of defrosting effect scalarization method suitable for the performance test that defrosts
CN111251830A (en) * 2020-02-19 2020-06-09 王英婷 Intelligent blowing heating driving system

Also Published As

Publication number Publication date
CN107845110B (en) 2020-07-24

Similar Documents

Publication Publication Date Title
CN107845110A (en) A kind of glass for vehicle window effective area ratio-dependent method
CN105722708B (en) Driving ancillary equipment and method
CN106515369B (en) A kind of control method and device of vehicle air conditioning
CN105631853B (en) Vehicle-mounted binocular camera demarcation and Verification method
CN108171673A (en) Image processing method, device, vehicle-mounted head-up-display system and vehicle
CN107878301A (en) Method and associated optical projection system for the projection system projects image by motor vehicles
DE102007027296A1 (en) Automatic sun visor for a motor vehicle
CN109785262A (en) Image defogging method based on dark channel prior and adaptive histogram equalization
CN106029416A (en) Sun shield
CN106218587B (en) A kind of method and apparatus for opening defrosting function
CN109263652B (en) Method for measuring and checking front visual field of driver
DE102013204597A1 (en) Method and apparatus for determining visibility in fog during the day
CN106394408B (en) A kind of adjusting method and device of rearview mirror
CN109584176A (en) Motor vehicle driving vision enhancement system
GB2465470A (en) Head up device which can vary the image according to the background
CN110989344A (en) Automatic adjustment method and system for preset parameters of inspection robot
CN103926060B (en) Based on vehicle headlamp irradiation angle detection method, the Apparatus and system of facade
CN113125127A (en) Optical scene simulation method and device based on human eye vision
DE102014221190A1 (en) Infrared pattern in slices of vehicles
RU2369490C2 (en) Multifunctional system for protecting eyes from blindness
CN103954437B (en) Based on the vehicle headlamp irradiation angle detection method of facade, Apparatus and system
DE102006056180A1 (en) Image processing system calibrating method for motor vehicle, involves detecting and evaluating marking on vehicle pane using image sensor, where characteristics of vehicle pane are determined based on detected marking
WO2014139957A1 (en) Vehicle and method for reacting to illumination on a vehicle
CN108909403A (en) A kind of automatic defrosting method and device
DE102006048869B4 (en) Projection arrangement and method for displaying a design on a surface of a motor vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant