CN105957087A - Spray shape detection method and device - Google Patents
Spray shape detection method and device Download PDFInfo
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- CN105957087A CN105957087A CN201610305404.0A CN201610305404A CN105957087A CN 105957087 A CN105957087 A CN 105957087A CN 201610305404 A CN201610305404 A CN 201610305404A CN 105957087 A CN105957087 A CN 105957087A
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- 239000007921 spray Substances 0.000 title claims abstract description 146
- 238000001514 detection method Methods 0.000 title claims abstract description 39
- 239000000446 fuel Substances 0.000 claims abstract description 21
- 238000005507 spraying Methods 0.000 claims description 206
- 238000000034 method Methods 0.000 claims description 20
- 239000000284 extract Substances 0.000 claims description 14
- 238000005260 corrosion Methods 0.000 claims description 6
- 230000007797 corrosion Effects 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000002347 injection Methods 0.000 abstract 2
- 239000007924 injection Substances 0.000 abstract 2
- 239000011159 matrix material Substances 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 239000003595 mist Substances 0.000 description 6
- 239000000295 fuel oil Substances 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 239000000443 aerosol Substances 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- General Physics & Mathematics (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Geometry (AREA)
- Quality & Reliability (AREA)
- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The invention discloses a spray shape detection method comprising the following steps: acquiring images before and after spray of a fuel injector; comparing the images before and after spray, and getting a spray contour image; acquiring an injection point position and a spray contour position in the spray contour image; and calculating feature parameters of the spray shape according to the injection point position and the spray contour position. Accordingly, the invention discloses a spray shape detection device. By implementing the embodiments of the invention, the spray shape can be detected directly, and the detection accuracy is improved.
Description
Technical field
The present invention relates to fuel injector technical field, particularly relate to a kind of spray discharge pattern detection method and device.
Background technology
For the detection of PFI fuel injector spray discharge pattern characteristic, current SAE standard requires to use weight method indirect
Calculate the parameters such as the angle morphological character of spraying, the cone angle of output spraying, angle of forking.Its specific practice is first
By arranging that the draw-off tray of sensor array collects the fuel oil of fuel injector ejection, calculate the fuel injector each cone of spraying
The angle at angle, then the model of spraying is simulated by draw-off tray, calculate the characteristic of cone angle, finally export oil spout
The angle of forking α of device spraying, spraying outline alpha+beta, spraying deviation angle γ angle, it is thus achieved that spray discharge pattern characteristic.
But, above-mentioned weight method can only detect the form of desired spray model, and reality is sprayed to compare and dissipated,
Bigger difference is had so that it is the detection to spray discharge pattern is inaccurate with desired spray model, and, this
Method can not detect run through away from, it is impossible to distinguish each model fuel injector spray characteristics.
Summary of the invention
The embodiment of the present invention proposes a kind of spray discharge pattern detection method and device, it is possible to directly enter spray discharge pattern
Row detection, and improve Detection accuracy.
The embodiment of the present invention provides a kind of spray discharge pattern detection method, including:
Image before and after S1, acquisition fuel injector spraying；
S2, the image before and after described spraying is contrasted, it is thus achieved that spraying contour images；
S3, the spray site position obtained in described spraying contour images and spraying outline position；
S4, calculate the characteristic parameter of spray discharge pattern according to described spray site position and described spraying outline position.
Further, after described step S2, and before described step S3, also include:
Described spraying contour images is filtered, and filtered image is expanded and corrosion treatmentCorrosion Science.
Further, described step S2 specifically includes:
S21, the image before spraying is converted to the first gray level image, and the image after spraying is converted to second
Gray level image；
S22, contrast described first gray level image and described second gray level image, from described second gray level image
Extract gray value and have discrepant pixel；
S23, from the discrepant pixel of described tool, extract gray value more than the pixel of gray threshold preset
Point, it is thus achieved that spraying contour images.
Further, described step S3 specifically includes:
S31, with direction that the nozzle of described fuel injector is placed as the longitudinal axis, with the direction phase placed with described nozzle
The most vertical direction is transverse axis, sets up rectangular coordinate system；
S32, the spray site coordinate obtained in described spraying contour images and N group spraying profile point coordinate；Wherein,
Often the vertical coordinate of group spraying profile point is identical, N >=1.
Being preferably carried out in mode at one, the characteristic parameter of described spray discharge pattern includes angle of forking of spraying, institute
State the top view that spraying contour images is spraying profile；Described often group spraying profile point includes two pairs of profile point；
Described step S4 specifically includes:
S411, calculate the often middle point coordinates of every pair of profile point in group spraying profile point respectively, it is thus achieved that N class mid point
Coordinate；Wherein, described N group spraying profile point and described N class mid point coordinate one_to_one corresponding；
S412, according to described N class mid point coordinate and described spray site coordinate, calculate N number of bifurcated angle value；
Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；
S413, ask for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying angle of forking.
In another is preferably carried out mode, the characteristic parameter of spray discharge pattern includes spray cone angle, described spray
Mist contour images is the side view of spraying profile；Described often group spraying profile point coordinate includes two profile point；
Described step S4 specifically includes:
S421, spray according to described N group profile point coordinate and described spray site coordinate, calculate N number of cone angle
Value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；
S422, ask for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
Accordingly, the embodiment of the present invention also provides for a kind of spray discharge pattern detection device, including:
Image collection module, the image before and after obtaining fuel injector spraying；
Image comparison module, for contrasting the image before and after described spraying, it is thus achieved that spraying contour images；
Position acquisition module, for obtaining the spray site position in described spraying contour images and spraying profile position
Put；And,
Characteristic parameter acquisition module, for calculating according to described spray site position and described spraying outline position
The characteristic parameter of spray discharge pattern.
Further, described spray discharge pattern detection device also includes:
Filtration module, for being filtered described spraying contour images, and carries out swollen to filtered image
Swollen and corrosion treatmentCorrosion Science.
Further, described image comparison module specifically includes:
Image conversion unit, for being converted to the first gray level image, and by after spraying by the image before spraying
Image is converted to the second gray level image；
Spray discharge pattern image acquisition unit, is used for contrasting described first gray level image and described second gray level image,
From described second gray level image, extract gray value have discrepant pixel；And,
Spraying contour images acquiring unit is big for extracting gray value from the discrepant pixel of described tool
Pixel in default gray threshold, it is thus achieved that spraying contour images.
Further, described position acquisition module specifically includes:
Establishment of coordinate system unit, for the direction of the nozzle placement with described fuel injector as the longitudinal axis, with described
The direction mutually orthogonal direction that nozzle is placed is transverse axis, sets up rectangular coordinate system；And,
Obtain the spray site coordinate in described spraying contour images and N group spraying profile point coordinate；Wherein, often
The vertical coordinate of group spraying profile point is identical, N >=1.
Being preferably carried out in mode at one, the characteristic parameter of described spray discharge pattern includes angle of forking of spraying, institute
State the top view that spraying contour images is spraying profile；Described often group spraying profile point includes two pairs of profile point；
Described characteristic parameter acquisition module specifically includes:
Middle point coordinates acquiring unit, for calculating the midpoint seat often organizing every pair of profile point in spraying profile point respectively
Mark, it is thus achieved that N class mid point coordinate；Wherein, described N group spraying profile point is with described N class mid point coordinate one by one
Corresponding；
Bifurcated angle value computing unit, for according to described N class mid point coordinate and described spray site coordinate, calculates
Go out N number of bifurcated angle value；Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；With
And,
Angle of forking acquiring unit, for asking for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying divides
Fork angle.
In another is preferably carried out mode, the characteristic parameter of spray discharge pattern includes spray cone angle, described spray
Mist contour images is the side view of spraying profile；Described often group spraying profile point coordinate includes two profile point；
Described characteristic parameter acquisition module specifically includes:
Cone angle value computing unit, is used for according to described N group spraying profile point coordinate and described spray site coordinate,
Calculate N number of cone angle value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；With
And,
Cone angle acquiring unit, for asking for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
Implement the embodiment of the present invention, have the advantages that
The spray discharge pattern detection method of embodiment of the present invention offer and device, it is possible to before and after aerosol apparatus is sprayed
Image carries out contrast to obtain spraying contour images, so find out the spray site position in spraying contour images and
Spraying outline position, calculates the characteristic parameter of spray discharge pattern, improves the accuracy of spray discharge pattern detection；Logical
Cross and different gray thresholds be set, from spray discharge pattern image, extract different spraying contour images, in order to
Observe the spray discharge pattern of different weight percentage fuel oil.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of an embodiment of the spray discharge pattern detection method that the present invention provides；
Fig. 2 is the schematic diagram of an embodiment of the image before spraying；
Fig. 3 is the schematic diagram of an embodiment of the image after spraying；
Fig. 4 is the schematic diagram of an embodiment of spraying contour images；
Fig. 5 is the schematic diagram of an embodiment after spraying contour images optimizes；
Fig. 6 is the schematic flow sheet of an embodiment of step S2 in Fig. 1；
Fig. 7 is the schematic diagram of an embodiment of the gray value matrix of the first gray level image；
Fig. 8 is the schematic diagram of an embodiment of the gray value matrix of the second gray level image；
Fig. 9 is the schematic flow sheet of an embodiment of step S4 in Fig. 1；
Figure 10 is the schematic diagram of the embodiment measuring spraying angle of forking；
Figure 11 is the schematic flow sheet of another embodiment of step S4 in Fig. 1；
Figure 12 is the schematic diagram of the embodiment measuring spray cone angle；
Figure 13 is the structural representation of an embodiment of the spray discharge pattern detection device that the present invention provides.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creation
The every other embodiment obtained under property work premise, broadly falls into the scope of protection of the invention.
See Fig. 1, the schematic flow sheet of an embodiment of the spray discharge pattern detection method that the present invention provides, bag
Include:
Image before and after S1, acquisition fuel injector spraying；
S2, the image before and after described spraying is contrasted, it is thus achieved that spraying contour images；
S3, the spray site position obtained in described spraying contour images and spraying outline position；
S4, calculate the characteristic parameter of spray discharge pattern according to described spray site position and described spraying outline position.
It should be noted that use image method to obtain image, wherein, before the image of acquisition includes spraying
Image, as in figure 2 it is shown, and spraying after image, as shown in Figure 3.Must protect when obtaining image every time
Card holds noresidue gasoline in bullet, and the image every time obtained is necessary for the image of same one-shot measurement.Obtaining spray
After image before and after mist, two images are contrasted, removed in the image after spraying by matlab algorithm
Spraying background, i.e. retain spraying before and after have discrepant pixel.As shown in Figure 4, will have before and after spraying
Discrepant pixel makees bright spot processing, processes not having discrepant pixel to make stain before and after spraying, considerable
Observe spraying contour images.Spray site position and spraying outline position is determined from spraying contour images,
The characteristic parameter of spray discharge pattern is gone out according to these position calculation.The embodiment of the present invention is by obtaining spraying profile diagram
Picture, directly detects the characteristic parameter of spray discharge pattern from spraying contour images, improves spray discharge pattern detection
Accuracy.
Further, after described step S2, and before described step S3, also include:
Described spraying contour images is filtered, and filtered image is expanded and corrosion treatmentCorrosion Science.
It should be noted that after obtaining spraying contour images, image is carried out medium filtering, and uses shape
State mathematic(al) function, structure relative expansion coefficient carries out expansion process to filtered image, and then corrodes
Process, remove pixel isolated in spraying contour images, as it is shown in figure 5, thus realize spraying profile
The optimization of image.
Further, as shown in Figure 6, described step S2 specifically includes:
S21, the image before spraying is converted to the first gray level image, and the image after spraying is converted to second
Gray level image；
S22, contrast described first gray level image and described second gray level image, from described second gray level image
Extract gray value and have discrepant pixel；
S23, from the discrepant pixel of described tool, extract gray value more than the pixel of gray threshold preset
Point, it is thus achieved that spraying contour images.
It should be noted that the image before and after spraying is converted to gray level image by matlab algorithm, pass through
Gray value relatively obtain spraying contour images.Wherein, the gray value matrix A of the first gray level image such as figure
Shown in 7, the gray value matrix B of the second gray level image is as shown in Figure 8.Numerical value in matrix is the highest, shows figure
Brightness in Xiang is the highest, owing to blocking light source after being injected with drop in appearance bullet, causes brightness step-down, therefore may be used
Change according to gray value judges the position of drop.Gray value matrix A is identical with in gray value matrix B
The size of position contrasts, and gray value size changed extracts composition gray value Matrix C, i.e.
Gray value matrix for contour images of spraying.As shown in Figure 4, the gray value that size changes is entered as
240, gray value size not changed is entered as 0, and spray contour images i.e. be can be observed.It addition,
After obtaining gray value Matrix C, gray threshold also can be set, extract from gray value Matrix C more than being somebody's turn to do
The gray value of gray threshold, the pixel corresponding to gray value extracted i.e. constitutes spraying contour images, with
Just the spray discharge pattern of different weight percentage fuel oil is observed.
Further, described step S3 specifically includes:
S31, with direction that the nozzle of described fuel injector is placed as the longitudinal axis, with the direction phase placed with described nozzle
The most vertical direction is transverse axis, sets up rectangular coordinate system；
S32, the spray site coordinate obtained in described spraying contour images and N group spraying profile point coordinate；Wherein,
Often the vertical coordinate of group spraying profile point is identical, N >=1.
It should be noted that after setting up rectangular coordinate system, define fuel injector according to frock and product information
Spray site coordinate, and choose N group spraying profile point coordinate, wherein, often group spraying profile point coordinate is same
Profile point coordinate under one vertical coordinate.
Being preferably carried out in mode at one, the characteristic parameter of described spray discharge pattern includes angle of forking of spraying, institute
State the top view that spraying contour images is spraying profile；Described often group spraying profile point includes two pairs of profile point.
As it is shown in figure 9, described step S4 specifically includes:
S411, calculate the often middle point coordinates of every pair of profile point in group spraying profile point respectively, it is thus achieved that N class mid point
Coordinate；Wherein, described N group spraying profile point and described N class mid point coordinate one_to_one corresponding；
S412, according to described N class mid point coordinate and described spray site coordinate, calculate N number of bifurcated angle value；
Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；
S413, ask for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying angle of forking.
It should be noted that when calculating spraying angle of forking, overlook the image before and after shooting spraying, thus obtain
Must spray profile top view as spraying contour images, as shown in Figure 10, determine spray site A of fuel injector,
And choose N group spraying profile point { (M1, N1), (O2, P2) }, { (M1, N1), (O2, P2) } ...,
Often group has two to spraying profile point.Calculate the middle point coordinates of every pair of spraying profile point the most respectively, it is thus achieved that N group
Midpoint (B1, C1), (B2, C2) ..., more respectively according to often group calculate bifurcated angle value, according to an A,
The coordinate of B1, C1, calculates the distance of AB1, B1C1 and AC1, calculates point further according to Pythagorean theorem
Fork angle value α 1, according to the coordinate of A, B2, C3, calculates bifurcated angle value α 2, in like manner, calculates bifurcated
Angle value α 3......, finally, to the α 1 calculated, α 2, α 3...... averaged, can obtain spraying
Angle of forking α.
In another is preferably carried out mode, the characteristic parameter of spray discharge pattern includes spray cone angle, described spray
Mist contour images is the side view of spraying profile；Described often group spraying profile point coordinate includes two profile point.
As shown in figure 11, described step S4 specifically includes:
S421, spray according to described N group profile point coordinate and described spray site coordinate, calculate N number of cone angle
Value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；
S422, ask for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
It should be noted that when calculating spray cone angle, the image before and after side-looking shooting spraying, thus obtain
The side view of spraying profile, as spraying contour images, as shown in figure 12, determines spray site A of fuel injector,
And choose N group spraying profile point (E1, F1), (E2, F2) ..., often group has two spraying profiles
Point.Calculate cone angle value according to often group spraying profile point respectively, according to the coordinate of some A, E1, F1, calculate
Go out the distance of AE1, E1F1 and AF1, calculate cone angle value β 1 further according to Pythagorean theorem, according to A, E2,
The coordinate of F3, calculates cone angle value β 2, in like manner, calculates cone angle value β 3......, finally, to calculate
β 1, β 2, β 3...... averaged, can obtain atomizer cone angle beta.Obtain spraying angle of forking α and
After atomizer cone angle beta, also can calculate further spraying outline alpha+beta, spraying deviation angle γ and run through away from etc. spray
The characteristic parameter of mist form.
The spray discharge pattern detection method that the embodiment of the present invention provides, it is possible to the image before and after being sprayed by aerosol apparatus enters
Row contrast obtains spraying contour images, and then finds out the spray site position in spraying contour images and spraying wheel
Wide position, calculates the characteristic parameter of spray discharge pattern, improves the accuracy of spray discharge pattern detection；By arranging
Different gray thresholds, extracts different spraying contour images from spray discharge pattern image, in order to observe not
Spray discharge pattern with percentage ratio fuel oil.
Accordingly, the present invention also provides for a kind of spray discharge pattern detection device, it is possible to realize in above-described embodiment
All flow processs of spray discharge pattern detection method.
See Figure 13, be the structural representation of an embodiment of the spray discharge pattern detection device that the present invention provides,
Including:
Image collection module 1, the image before and after obtaining fuel injector spraying；
Image comparison module 2, for contrasting the image before and after described spraying, it is thus achieved that spraying contour images；
Position acquisition module 3, for obtaining the spray site position in described spraying contour images and spraying profile position
Put；And,
Characteristic parameter acquisition module 4, for calculating according to described spray site position and described spraying outline position
The characteristic parameter of spray discharge pattern.
Further, described spray discharge pattern detection device also includes:
Filtration module, for being filtered described spraying contour images, and carries out swollen to filtered image
Swollen and corrosion treatmentCorrosion Science.
Further, described image comparison module specifically includes:
Image conversion unit, for being converted to the first gray level image, and by after spraying by the image before spraying
Image is converted to the second gray level image；
Spray discharge pattern image acquisition unit, is used for contrasting described first gray level image and described second gray level image,
From described second gray level image, extract gray value have discrepant pixel；And,
Spraying contour images acquiring unit is big for extracting gray value from the discrepant pixel of described tool
Pixel in default gray threshold, it is thus achieved that spraying contour images.
Further, described position acquisition module specifically includes:
Establishment of coordinate system unit, for the direction of the nozzle placement with described fuel injector as the longitudinal axis, with described
The direction mutually orthogonal direction that nozzle is placed is transverse axis, sets up rectangular coordinate system；And,
Obtain the spray site coordinate in described spraying contour images and N group spraying profile point coordinate；Wherein, often
The vertical coordinate of group spraying profile point is identical, N >=1.
Being preferably carried out in mode at one, the characteristic parameter of described spray discharge pattern includes angle of forking of spraying, institute
State the top view that spraying contour images is spraying profile；Described often group spraying profile point includes two pairs of profile point；
Described characteristic parameter acquisition module specifically includes:
Middle point coordinates acquiring unit, for calculating the midpoint seat often organizing every pair of profile point in spraying profile point respectively
Mark, it is thus achieved that N class mid point coordinate；Wherein, described N group spraying profile point is with described N class mid point coordinate one by one
Corresponding；
Bifurcated angle value computing unit, for according to described N class mid point coordinate and described spray site coordinate, calculates
Go out N number of bifurcated angle value；Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；With
And,
Angle of forking acquiring unit, for asking for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying divides
Fork angle.
In another is preferably carried out mode, the characteristic parameter of spray discharge pattern includes spray cone angle, described spray
Mist contour images is the side view of spraying profile；Described often group spraying profile point coordinate includes two profile point；
Described characteristic parameter acquisition module specifically includes:
Cone angle value computing unit, is used for according to described N group spraying profile point coordinate and described spray site coordinate,
Calculate N number of cone angle value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；With
And,
Cone angle acquiring unit, for asking for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
The spray discharge pattern detection device that the embodiment of the present invention provides, it is possible to the image before and after being sprayed by aerosol apparatus enters
Row contrast obtains spraying contour images, and then finds out the spray site position in spraying contour images and spraying wheel
Wide position, calculates the characteristic parameter of spray discharge pattern, improves the accuracy of spray discharge pattern detection；By arranging
Different gray thresholds, extracts different spraying contour images from spray discharge pattern image, in order to observe not
Spray discharge pattern with percentage ratio fuel oil.
The above is the preferred embodiment of the present invention, it is noted that for the common skill of the art
For art personnel, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, this
A little improvements and modifications are also considered as protection scope of the present invention.
Claims (12)
1. a spray discharge pattern detection method, it is characterised in that including:
Image before and after S1, acquisition fuel injector spraying；
S2, the image before and after described spraying is contrasted, it is thus achieved that spraying contour images；
S3, the spray site position obtained in described spraying contour images and spraying outline position；
S4, calculate the characteristic parameter of spray discharge pattern according to described spray site position and described spraying outline position.
2. spray discharge pattern detection method as claimed in claim 1, it is characterised in that in described step S2
Afterwards, and before described step S3, also include:
Described spraying contour images is filtered, and filtered image is expanded and corrosion treatmentCorrosion Science.
3. spray discharge pattern detection method as claimed in claim 1 or 2, it is characterised in that described step S2
Specifically include:
S21, the image before spraying is converted to the first gray level image, and the image after spraying is converted to second
Gray level image；
S22, contrast described first gray level image and described second gray level image, from described second gray level image
Extract gray value and have discrepant pixel；
S23, from the discrepant pixel of described tool, extract gray value more than the pixel of gray threshold preset
Point, it is thus achieved that spraying contour images.
4. spray discharge pattern detection method as claimed in claim 3, it is characterised in that described step S3 has
Body includes:
S31, with direction that the nozzle of described fuel injector is placed as the longitudinal axis, with the direction phase placed with described nozzle
The most vertical direction is transverse axis, sets up rectangular coordinate system；
S32, the spray site coordinate obtained in described spraying contour images and N group spraying profile point coordinate；Wherein,
Often the vertical coordinate of group spraying profile point is identical, N >=1.
5. spray discharge pattern detection method as claimed in claim 4, it is characterised in that described spray discharge pattern
Characteristic parameter includes angle of forking of spraying, and described spraying contour images is the top view of spraying profile；Described often group
Spraying profile point includes two pairs of profile point；
Described step S4 specifically includes:
S411, calculate the often middle point coordinates of every pair of profile point in group spraying profile point respectively, it is thus achieved that N class mid point
Coordinate；Wherein, described N group spraying profile point and described N class mid point coordinate one_to_one corresponding；
S412, according to described N class mid point coordinate and described spray site coordinate, calculate N number of bifurcated angle value；
Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；
S413, ask for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying angle of forking.
6. spray discharge pattern detection method as claimed in claim 4, it is characterised in that the feature of spray discharge pattern
Parameter includes the side view that spray cone angle, described spraying contour images are spraying profile；Described often group spraying wheel
Wide point coordinates includes two profile point；
Described step S4 specifically includes:
S421, spray according to described N group profile point coordinate and described spray site coordinate, calculate N number of cone angle
Value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；
S422, ask for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
7. a spray discharge pattern detection device, it is characterised in that including:
Image collection module, the image before and after obtaining fuel injector spraying；
Image comparison module, for contrasting the image before and after described spraying, it is thus achieved that spraying contour images；
Position acquisition module, for obtaining the spray site position in described spraying contour images and spraying profile position
Put；And,
Characteristic parameter acquisition module, for calculating according to described spray site position and described spraying outline position
The characteristic parameter of spray discharge pattern.
8. spray discharge pattern detection device as claimed in claim 7, it is characterised in that described spray discharge pattern is examined
Survey device also to include:
Filtration module, for being filtered described spraying contour images, and carries out swollen to filtered image
Swollen and corrosion treatmentCorrosion Science.
9. spray discharge pattern detects device as claimed in claim 7 or 8, it is characterised in that described image pair
Specifically include than module:
Image conversion unit, for being converted to the first gray level image, and by after spraying by the image before spraying
Image is converted to the second gray level image；
Image comparison unit, is used for contrasting described first gray level image and described second gray level image, from described
Second gray level image extracts gray value and has discrepant pixel；And,
Spraying contour images acquiring unit is big for extracting gray value from the discrepant pixel of described tool
Pixel in default gray threshold, it is thus achieved that spraying contour images.
10. spray discharge pattern detection device as claimed in claim 9, it is characterised in that described position acquisition
Module specifically includes:
Establishment of coordinate system unit, for the direction of the nozzle placement with described fuel injector as the longitudinal axis, with described
The direction mutually orthogonal direction that nozzle is placed is transverse axis, sets up rectangular coordinate system；And,
Obtain the spray site coordinate in described spraying contour images and N group spraying profile point coordinate；Wherein, often
The vertical coordinate of group spraying profile point is identical, N >=1.
11. spray discharge pattern as claimed in claim 10 detection devices, it is characterised in that described spray discharge pattern
Characteristic parameter include spray angle of forking, described spraying contour images be spraying profile top view；Described often
Group spraying profile point includes two pairs of profile point；
Described characteristic parameter acquisition module specifically includes:
Middle point coordinates acquiring unit, for calculating the midpoint seat often organizing every pair of profile point in spraying profile point respectively
Mark, it is thus achieved that N class mid point coordinate；Wherein, described N group spraying profile point is with described N class mid point coordinate one by one
Corresponding；
Bifurcated angle value computing unit, for according to described N class mid point coordinate and described spray site coordinate, calculates
Go out N number of bifurcated angle value；Wherein, described N class mid point coordinate and described N number of bifurcated angle value one_to_one corresponding；With
And,
Angle of forking acquiring unit, for asking for the meansigma methods of described N number of bifurcated angle value, it is thus achieved that described spraying divides
Fork angle.
12. spray discharge pattern as claimed in claim 10 detection devices, it is characterised in that the spy of spray discharge pattern
Levy the side view that parameter includes that spray cone angle, described spraying contour images are spraying profile；Described often organize spraying
Profile point coordinate includes two profile point；
Described characteristic parameter acquisition module specifically includes:
Cone angle value computing unit, is used for according to described N group spraying profile point coordinate and described spray site coordinate,
Calculate N number of cone angle value；Described N group spraying profile point coordinate and described N number of cone angle value one_to_one corresponding；With
And,
Cone angle acquiring unit, for asking for the meansigma methods of described N number of cone angle value, it is thus achieved that described spray cone angle.
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