CN204882725U - Optimum interval system that selects of target stripe in interference fringe method - Google Patents
Optimum interval system that selects of target stripe in interference fringe method Download PDFInfo
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- CN204882725U CN204882725U CN201520579559.4U CN201520579559U CN204882725U CN 204882725 U CN204882725 U CN 204882725U CN 201520579559 U CN201520579559 U CN 201520579559U CN 204882725 U CN204882725 U CN 204882725U
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Abstract
The utility model provides an optimum interval system that selects of target stripe in interference fringe method, including the image preprocessing device, can acquire the background image that applys under the uniform electric field before the voltage respectively and apply the pressurization image behind the voltage, and draw among the background image bright fringe the skeleton line with the skeleton line of bright fringe in the pressurization image, fringe spacing and displacement acquisition device can acquire the target stripe chooseed among the background image and the fringe spacing between the at least one adjacent stripe, and remove the back in the pressurization image the displacement of pixel on the target stripe, optimum interval definite device can calculate the different interval interior pixels of target stripe the fringe spacing with the ratio of displacement, according to ratio is confirmed the optimum interval of target stripe, the optimum interval of interval displacement ratio is selected to the all mistakes of this department, can effectively weaken the error factor that the image processing process was introduced, improves the precision and the degree of accuracy of electric field calculation.
Description
Technical field
The utility model relates to liquid medium electric field measurement field, particularly relates to a kind of selecting system by target striped optimum interval in the interference fringe method of double light path interferometry liquid medium electric field.
Background technology
Interference fringe method in liquid medium electric field measurement field because its rapidity, intuitive, real-time are compared additive method and are had larger superiority and be progressively widely adopted.
Adopt the principle of interference fringe method measurement liquid medium electric field roughly as follows:
Under uniform electric field, due to the electric birefringence character of some liquid medium, reference beam in light path and the phase differential between measuring beam change, thus on imaging device, interference fringe can present and moves in parallel, therefore, utilize imageing sensor (Charge-coupledDevice, CCD) device takes the interference image after not applying voltage and applying voltage respectively, can calculate the outer size executing electric field by the displacement of striped and light and shade fringe spacing, electric field intensity can be obtained by following formulae discovery:
Wherein, E is electric field intensity to be measured, and y is the displacement of target striped, and B is Kerr (Ke Er) constant of liquid medium, and L is electric field region length, and d is light and shade fringe spacing.
But there is following problem in the use of above-mentioned interference the Schlieren method:
The imaging of the interference fringe formed by interferometer on CCD nonideal parallel lines, and there are differences in not random noise in the same time due to pixel each on ccd sensor, often cause the displacement of each pixel on same striped can there is the error of several pixel.Therefore, when carrying out post-digital process to interference fringe image, needing the non-ideal factor such as random noise, ambient vibration, spot intensity homogeneity considering CCD, reducing measuring error with software approach.But, do not study between the suitable striate region how chosen on target striped in prior art, cause calculating the accuracy of electric field intensity according to stripe shift amount and accuracy all inadequate.
Utility model content
Based on this, the utility model is to provide the system between the optimum striate region chosen on target striped, makes to calculate electric field intensity according to stripe shift amount more accurate.
The selecting system of target striped optimum interval in a kind of interference fringe method, comprise: image preprocess apparatus, apply the background image before voltage under can obtaining uniform electric field respectively and apply the pressurization image after voltage, and extracting the skeleton line of bright fringe in the skeleton line of bright fringe in described background image and described pressurization image; Fringe spacing and displacement acquisition device, can to obtain in described background image the fringe spacing between the target striped selected and at least one adjacent stripes, and mobile in described pressurization image after described target striped on the displacement of pixel; Optimum interval determining device, can calculate the described fringe spacing of the pixel in the difference interval of described target striped and the ratio of described displacement, determine the optimum interval of described target striped according to described ratio.
The selecting system of target striped optimum interval provided by the utility model passes through the displacement of pixel on target striped in the fringe spacing in background extraction image on target striped between pixel and adjacent stripes and the image that pressurizes, one section of interval that the pixel displacement error determined on described target striped by the ratio calculated between fringe spacing and displacement is minimum, at utmost ensure the accuracy and the accuracy that calculate electric field intensity according to stripe shift amount, thus obtain the displacement of target striped more exactly, lay a good foundation for calculating electric field intensity according to stripe shift amount, in interference fringe electric field measurement field, there is important practical significance.
Accompanying drawing explanation
The structural representation of the selecting system of target striped optimum interval in the interference fringe method that Fig. 1 provides for another embodiment of the utility model.
Fig. 2 is the detailed construction schematic diagram of the selecting system shown in Fig. 1.
The structural representation of the selecting system of target striped optimum interval in the interference fringe method that Fig. 3 provides for the utility model second embodiment.
Fig. 4 is the structural representation of the selecting system of target striped optimum interval in the interference fringe method that provides of the utility model the 3rd embodiment.
The process flow diagram of choosing method of Fig. 5 for being the selecting system shown in Fig. 1.
Fig. 6 is the process flow diagram of the recognition methods of the target striped in choosing method shown in Fig. 5.
Description of reference numerals
10 image preprocess apparatus
20 fringe spacings and displacement acquisition device
21 coordinate reading units
22 coordinate difference computational unit
30 optimum interval determining devices
31 spacing Displacement Ratio average calculation unit
33 spacing Displacement Ratio variance computing units
35 curve display units
40 target striped selecting devices
50 pixel range selecting devices
51 indexing units
52 coordinate reading units
53 coordinate difference computational unit
60 target fringe counting method devices
Embodiment
For making the purpose of this utility model, technical scheme and advantage clearly understand, below in conjunction with the drawings and the specific embodiments, the utility model is described in further detail.Should be understood that, embodiment described herein, only in order to explain the utility model, does not limit protection domain of the present utility model.
Refer to Fig. 1, for the selecting system of target striped optimum interval in the interference fringe method that the utility model one embodiment provides, it comprises image preprocess apparatus 10, pressurization image after applying the background image before voltage under can obtaining uniform electric field respectively and applying voltage, and extract the skeleton line of bright fringe in background image and the skeleton line of bright fringe in pressurization image; Fringe spacing and displacement acquisition device 20, can in background extraction image the fringe spacing between the target striped selected and at least one adjacent stripes, and mobile in pressurization image after target striped on the displacement of pixel; Optimum interval determining device 30, the fringe spacing of pixel and the ratio of displacement in the different intervals that can calculate target striped according to described fringe spacing and the result of displacement acquisition device, according to the optimum interval of ratio determination target striped.
Described optimum interval refers to the segment that the displacement error of the pixel on target striped is minimum.This image preprocess apparatus 10 pairs of background images and pressurization image carry out pre-service respectively to obtain the skeleton line of bright fringe in image, wherein pretreated mode at least comprises image intensifying and SUSAN filtering two pretreatment operation, then extract the skeleton line of all bright fringes by binary map method, skeleton line is presented on former figure.Image preprocess apparatus 10 can for being equiped with the computer system of the software processing image by the way.
Please refer to Fig. 2, this fringe spacing and displacement acquisition device 20 comprise the coordinate reading unit 21 of the row-coordinate that can read background image and select each pixel on striped in the image that pressurizes and row-coordinate are carried out to the coordinate difference computational unit 22 of computing.Concrete, the row-coordinate value of pixel on the row-coordinate that this coordinate reading unit 21 reads pixel on target striped respectively and the striped that is adjacent, the row-coordinate of pixel that on described target striped, the row-coordinate of each pixel is corresponding in adjacent stripes (namely longitudinally upper coaxial pixel) subtracts each other the fringe spacing obtaining this respective pixel point.Wherein, adjacent striped can be a dark fringe adjacent with target striped or neighbouring two dark fringes, if adjacent two dark fringe, the size of fringe spacing is then the mean value of the spacing between pixel that each pixel is corresponding with in two adjacent stripes.Secondly, the whole pixels chosen on preferred select target striped of pixel on target striped, and calculate the fringe spacing between each pixel and adjacent stripes.As target striped comprises N number of pixel, then the fringe spacing between each pixel and adjacent stripes is di (i=1,2,3 ... N).On this target striped, choosing of pixel also can be whole pixels on target striped in a certain segment, or according to actual conditions need target striped is divided multiple segment, choose the discontinuous multiple pixel in position in the segment of diverse location.This coordinate reading unit 21 also reads the row-coordinate of each pixel on the target striped after moving in pressurization image, row-coordinate after being moved by same pixel in target striped after movement in pressurization image by coordinate difference computational unit 22 and the row-coordinate before moving subtract each other the displacement yi (i=1 obtaining this respective pixel point, 2,3 ... N).
Optimum interval determining device 30, comprises spacing Displacement Ratio average calculation unit 31, can calculate the mean value of the fringe spacing Displacement Ratio of each pixel; And spacing Displacement Ratio variance computing unit 33, the variance of the spacing Displacement Ratio of each pixel can be calculated.Wherein described target striped is divided into multiple interval, interval division can reduce from more to less successively according to the quantity of pixel in target striped, and the interval width covered reduces from the two ends of target striped gradually to centre position.As being expressed as (i, N-i) of interval, wherein i=1,2,3 ... N, N are the quantity of pixel on target striped.Selected interval (i is changed by different i value, N-i), calculate average and the variance of spacing Displacement Ratio respectively, optimum interval be the Change in Mean of the spacing Displacement Ratio (i.e. the ratio of fringe spacing and position) of pixel gently and the minimum interval of variance.Preferably, this optimum interval determining device 30 also comprises curve display unit 35, can draw the curve that the average of spacing Displacement Ratio and variance change along with pixel i.By curve display unit 35, directly can choose from curve and choose the mild and I value that variance is minimum of change from curve, thus determine that optimum interval is (I, N-I).As, described target striped has 702 pixels, and when i value 200, Change in Mean is mild and variance is minimal value, i.e. I=200, then optimum interval is (200,502).
In the process chosen of this target striped optimum interval, the mode choosing target striped in background image can manually be chosen, and more preferably, refers to Fig. 3, and the selecting system of this target striped optimum interval also comprises target striped selecting device 40.The principle chosen of target striped comprises, and the first, be positioned at the striped in the centre position of entire image, the second, the striped that width of fringe is larger, the 3rd, the striped that relatively high, the mixed and disorderly branch of contrast is relatively less, the 4th, transitions smooth is without the striped of breakpoint.Wherein, when manually choosing target striped, four principles freely can measure sanction according to actual conditions, and the situation that can simultaneously meet is optimal situation.Different priorities can be arranged according to actual conditions to four principles when automatically being chosen by target striped selecting device 40 to realize.Preferably, target striped can also choose the bright fringe being positioned at centre position in three adjacent bright fringes.
Secondly, the optimum interval of this target striped choose in process, the mode choosing the target striped after moving in pressurization image can manually be chosen, more preferably, refer to Fig. 4, the selecting system of this target striped optimum interval also comprises pixel range selecting device 50 and target fringe counting method device 60.This pixel range selecting device 50 comprises can draw the indexing unit 51 of marking line in background image and pressurization image, read the coordinate reading unit 52 of the row-coordinate of selected pixel, and to the coordinate difference computational unit 53 that the row-coordinate of described pixel calculates.Concrete, the zone line of the target striped that indexing unit 51 can be selected in background image draws horizontal line as pixel range along the bearing of trend of target striped, wherein horizontal length covers the part of target striped zone line transitions smooth without breakpoint as far as possible, and avoids the region that target striped two ends curvature is larger.The mid point of pixel range is positioned on target striped, and as far as possible near the center of target striped.Preferably, the mid point of pixel range and the center superposition of target striped.Indexing unit 51 can also do straight line perpendicular to this pixel range as with reference to line using the mid point of pixel range in pressurization image.The length of reference line arranges and should make it as far as possible can be all crossing with the striped in entire image.This coordinate reading unit 52 reads the row-coordinate (i.e. reference line coordinate) of pixel range mid point in background image respectively, and the row-coordinate (namely moving row-coordinate) of each striped and reference line intersection point in pressurization image, this coordinate difference computational unit 53 is for the difference of the mobile row-coordinate and reference line coordinate that calculate each striped.
Target fringe counting method device 60, according to the result of calculation of coordinate difference computational unit, determines that the displacement striped belonged in preset range is the target striped after moving.Wherein, described preset range is determined according to the character of liquid medium electric field, its following formula of condition usually met: a
i-a
0<D/2; Wherein, a
0for the reference line coordinate row-coordinate of pixel range mid point (namely in background image), a
ifor mobile row-coordinate the row-coordinate of the intersection point of each striped and reference line (namely pressurize in image), D is the spacing of adjacent two bright fringes.By arranging pixel range and arrange the mode of reference line according to pixel range in background image in pressurization image, the identification of target striped in pressurization image can be determined according to the position relationship between striped and reference line, thus can rapidly, localizing objects striped exactly, calculate electric field intensity lay a good foundation for accurately obtaining stripe shift amount.
In the present embodiment, coordinate reading unit 21, the coordinate difference computational unit 22 of the coordinate reading unit 52 in this pixel range selecting device, coordinate difference computational unit 53 and aforementioned fringe spacing and displacement acquisition device 20 are provided separately.But preferably, in this interference fringe method target striped optimum interval selecting system in comprising a coordinate unit and a coordinate difference computational unit, therefore, this pixel range selecting device also can not comprise coordinate reading unit, coordinate difference computational unit, and the row-coordinate directly reading each pixel on selected striped in described background image and described pressurization image by fringe spacing and displacement acquisition device and calculate target striped displacement to judge the target striped after movement.
By the selecting system of target striped optimum interval in described interference fringe method, the optimum interval of spacing displacement ratio can be selected, effectively can weaken the error component that image processing process is introduced, improve precision and the accuracy of electric Field Calculation.
The selecting system of below setting forth target striped optimum interval in interference fringe method further chooses the method for target striped optimum interval, refer to Fig. 5, choosing method comprises: apply the background image before voltage and the pressurization image after applying voltage under obtaining uniform electric field, extracts the skeleton line of bright fringe in described background image and pressurization image respectively; A striped is chosen as target striped in background image; Fringe spacing in background extraction image on target striped between pixel and at least one adjacent stripes; Identify the target striped after moving in pressurization image, obtain the displacement of pixel on target striped; Target striped is divided into multiple interval, determines the optimum interval of described target striped according to the different interval interior described fringe spacing of pixel and the ratio of displacement.
The choosing method of this target striped optimum interval passes through the displacement of pixel on target striped in the fringe spacing in background extraction image on target striped between pixel and adjacent stripes and the image that pressurizes, one section of interval that the pixel displacement error determined on described target striped by the ratio calculated between fringe spacing and displacement is minimum, at utmost ensures the accuracy and the accuracy that calculate electric field intensity according to stripe shift amount.
Wherein, pressurization image after applying the background image before voltage under described acquisition uniform electric field and applying voltage, extract the step of the skeleton line of bright fringe in described background image and pressurization image respectively, the pressurization image that can taken the background image before not applying voltage respectively by CCD device and be applied after voltage, then carries out pretreated mode realization respectively to background image and pressurization image.Wherein, execute alive mode and for apply 9kv surge voltage under 3mm spacing plate electrode, pressurization image can be obtained at peak value place.Pretreated mode at least comprises image intensifying and SUSAN filtering two pretreatment operation, then extracts the skeleton line of all bright fringes by binary map method, is presented on former figure by skeleton line.SUSAN filtering algorithm is a kind of filtering algorithm of holding structure, its essence is the weighted filtering utilizing similar comparison function and Gaussian function product as weight.Obtain background image and pressurization image its pre-service by existing techniques in realizing, can not repeated them here in the concrete mode obtaining bright fringe skeleton line.
Choose in the step of a striped as target striped in background image, following four principles are preferably considered in choosing of target striped, first, be positioned at the striped in the centre position of entire image, the second, the striped that width of fringe is relatively large, 3rd, the striped that relatively high, the mixed and disorderly branch of contrast is relatively less, the 4th, transitions smooth is without the striped of breakpoint.Wherein, four principles freely can measure sanction according to actual conditions, and the situation that can all simultaneously meet is optimal situation.Preferably, target striped can also choose the bright fringe being positioned at centre position in three adjacent bright fringes.Choose more suitable target striped by the way, can disturbing factor be reduced, improve recognition efficiency and the accuracy of target striped in whole method.
In the step of the fringe spacing in background extraction image on target striped between pixel and at least one adjacent stripes, on this target striped pixel preferred select target striped on whole pixels, and calculate the spacing between each pixel and adjacent stripes.As, target striped comprises N number of pixel, then the fringe spacing between each pixel and adjacent stripes is di (i=1,2,3 ... N).On this target striped, choosing of pixel also can be whole pixels on target striped in a certain segment, or according to actual conditions need target striped is divided into multiple segment, choose the discontinuous multiple pixel in position in described multiple segment.Secondly, the mean value of the spacing of the fringe spacing between each pixel and adjacent stripes preferably and between each pixel and two adjacent stripe.Under normal circumstances, what target striped was chosen is bright fringe, and calculates fringe spacing and refer to fringe spacing on target striped between each pixel and adjacent two dark fringes.Circular is, obtains the row-coordinate value of each pixel on target striped and the row-coordinate value of the pixel in adjacent stripes respectively, the row-coordinate of the pixel being positioned at correspondence on the same longitudinal axis is subtracted each other the fringe spacing that just can obtain therebetween.
Identifying the target striped after moving in pressurization image, obtain in the step of the displacement of pixel on target striped, by obtaining the row-coordinate value of pixel on the target striped after moving in pressurization image, row-coordinate before row-coordinate after being moved by pressurization image same pixel and movement in background image subtracts each other the displacement yi (i=1 that just can obtain this respective pixel point, 2,3 ... N).
Described target striped is divided into multiple interval, determine in the step of the optimum interval of described target striped according to the different interval interior fringe spacing of pixel and the ratio of displacement, interval division can reduce from more to less successively according to the quantity of pixel in target striped, and the interval width covered reduces from the two ends of target striped gradually to centre position.As being expressed as (i, N-i) of arbitrary interval, wherein i=1,2,3 ... N.The fringe spacing of pixel and the ratio S of displacement are expressed as spacing Displacement Ratio Si=yi/di, and wherein, optimum interval is preferably the mild and interval that variance is minimum of the Change in Mean of the spacing Displacement Ratio of pixel.
Wherein, the computing formula of the average of spacing Displacement Ratio is
(i=1,2,3 ... N).
The computing formula of the variance of spacing Displacement Ratio is
(i=1,2,3 ... N).
By changing selected interval (i, N-i), calculate average and the variance of spacing Displacement Ratio respectively, obtain the curve that the average of spacing Displacement Ratio and variance change along with pixel i, choose from curve and change mild and that variance is minimum I value, thus determine optimum interval (I, N-I).As, described target striped has 702 pixels, and when i value 200, the mild and variance size minimal value of Change in Mean, i.e. I=200, then optimum interval is (200,502).
Identify that the target striped after moving in pressurization image rule of thumb can be identified by prior art, more preferably, refer to Fig. 6, identify that the target striped after moving in pressurization image realizes by the following method: the target striped according to background image arranges pixel range, and obtains the reference line coordinate of pixel range mid point; In pressurization image, the reference line passing perpendicularly through pixel range mid point is set, and obtains the mobile row-coordinate of reference line and each striped intersection point; Calculate the mobile row-coordinate of each striped and the difference of reference line coordinate, the striped that difference is less than preset range be mobile after target striped.
Wherein, arranging pixel range according to target striped, and obtaining in the step of reference line coordinate of pixel range mid point, pixel range is choose scope wide as far as possible along striped bearing of trend to both sides from the center of target striped.Usually, striped can slightly curved shape, and arranging pixel range can the center of target striped be middle strokes and dots horizontal line, and horizontal length covers the part of target striped zone line transitions smooth without breakpoint as far as possible.Pixel range choose two end regions as far as possible avoiding the curvature of target striped larger.The mid point of pixel range is positioned on target striped, and as far as possible near the center of target striped.Preferably, the mid point of pixel range and the center superposition of target striped.The row-coordinate of pixel range mid point is reference line coordinate a
0.
In pressurization image, arrange and pass perpendicularly through the reference line of pixel range mid point, and obtain in the step of the mobile row-coordinate of reference line and each striped intersection point, reference line is through the mid point of pixel range, and vertical with pixel range.The length of reference line arranges and should make it as far as possible can be crossing with the striped in entire image, thus conveniently determine the intersection point of each striped and reference line, to obtain the row-coordinate of each intersection point, because each striped in pressurization image forms after move of stripe in background image, therefore, for ease of describing, the row-coordinate of the intersection point of each striped and reference line is called mobile row-coordinate a
i(i=1,2,3 ... k, k are the quantity of bright fringe in image).
In the calculating mobile row-coordinate of each striped and the difference of reference line coordinate, the striped that difference is less than preset range be mobile after target striped step in, described preset range is determined according to the character of liquid medium electric field, its usually satisfied following formula of condition:
a
i-a
0<D/2；
Wherein, a
0for reference line coordinate the row-coordinate of pixel range mid point (in the background image), a
ifor mobile row-coordinate the row-coordinate of the intersection point of each striped and reference line (in the pressurization image), D is the spacing of adjacent two bright fringes.As in the present embodiment, the mobile row-coordinate of three stripeds in pressurization image is subtracted each other with reference line coordinate respectively, wherein a1-a0=88, a2-a0=50, a3-a0=90, and the spacing of adjacent two bright fringes is 124 pixels, the row-coordinate in image that therefore pressurizes be the striped of a2 be mobile after target striped.
Target striped after moving with aforesaid way identification, can realize carrying out intelligent processing method to the interference fringe image obtained under uniform electric field, localizing objects striped quickly and accurately, lays a good foundation for accurately obtaining stripe shift amount calculating electric field intensity.
The foregoing describe embodiment of the present utility model, it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the utility model scope.For the person of ordinary skill of the art, without departing from the concept of the premise utility, can also make some distortion and improvement, these all belong to protection domain of the present utility model.
Claims (10)
1. the selecting system of target striped optimum interval in interference fringe method, is characterized in that, comprising:
Image preprocess apparatus, applies the background image before voltage and applies the pressurization image after voltage under can obtaining uniform electric field respectively, and extracts the skeleton line of bright fringe in the skeleton line of bright fringe in described background image and described pressurization image;
Fringe spacing and displacement acquisition device, can to obtain in described background image the fringe spacing between the target striped selected and at least one adjacent stripes, and mobile in described pressurization image after described target striped on the displacement of pixel;
Optimum interval determining device, can calculate the spacing Displacement Ratio of the pixel in the difference interval of described target striped, determines the optimum interval of described target striped according to described spacing Displacement Ratio.
2. the selecting system of target striped optimum interval as described in claim 1, it is characterized in that: described fringe spacing and displacement acquisition device comprise coordinate reading unit and coordinate difference computational unit, described coordinate reading unit can read the row-coordinate of each pixel on selected striped in described background image and described pressurization image, and described coordinate difference computational unit can calculate the described fringe spacing of respective pixel point on described target striped and described displacement to the row-coordinate of described pixel.
3. the selecting system of target striped optimum interval as described in claim 2, is characterized in that: also comprise:
Pixel range selecting device, comprises the indexing unit that can draw marking line in described background image and described pressurization image;
According to described coordinate reading unit and described coordinate difference computational unit, target fringe counting method device, can judge whether the displacement of striped in pressurization image belongs in preset range to determine the target striped after moving in described pressurization image.
4. the selecting system of target striped optimum interval as described in claim 1, it is characterized in that: described optimum interval determining device comprises spacing Displacement Ratio average calculation unit and spacing Displacement Ratio variance computing unit, described spacing Displacement Ratio average calculation unit can calculate the average of the described fringe spacing of described pixel and the ratio of described displacement, and described spacing Displacement Ratio variance computing unit can calculate the variance of the described fringe spacing of described pixel and the ratio of described displacement.
5. the selecting system of target striped optimum interval as described in claim 4, it is characterized in that: described optimum interval determining device also comprises curve display unit, the curve that the variance of the average and described spacing Displacement Ratio that can show described spacing Displacement Ratio changes along with pixel.
6. the selecting system of target striped optimum interval as described in claim 1, is characterized in that: also comprise:
Target striped selecting device, automatically a striped can be chosen as described target striped from described background image, the selection principle of described target striped comprises: centre position, the width of fringe contrast that is relatively large, striped being positioned at entire image is relatively high and branch is relatively less, transitions smooth without breakpoint, described selection principle arranges different priorities according to actual conditions.
7. the selecting system of target striped optimum interval as described in claim 6, is characterized in that: also comprise:
Target striped selecting device, can choose a striped automatically as described target striped from described background image, and described target striped chooses one that is positioned at centre position from three adjacent bright fringes.
8. the selecting system of target striped optimum interval as described in claim 1, is characterized in that: also comprise:
Pixel range selecting device, comprise the indexing unit that can draw marking line in described background image and described pressurization image, the coordinate reading unit of the row-coordinate of selected pixel in described background image and described pressurization image can be read, and the coordinate difference computational unit that can calculate the row-coordinate of described pixel;
According to the result of calculation of described coordinate difference computational unit, target fringe counting method device, can judge whether described stripe displacement belongs in preset range to determine the target striped after moving in described pressurization image.
9. the selecting system of the target striped optimum interval as described in claim 3 or 8, it is characterized in that: described pixel range extends to both sides from the center of described target striped along striped bearing of trend, the mid point of described pixel range is positioned on described target striped, and near the center of described target striped.
10. the selecting system of the target striped optimum interval as described in claim 3 or 8, it is characterized in that: described pixel range extends to both sides from the center of described target striped along striped bearing of trend, the mid point of described pixel range and the center superposition of described target striped.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182092A (en) * | 2015-08-04 | 2015-12-23 | 中国南方电网有限责任公司电网技术研究中心 | Selection method and system of optimal zone of target fringe in interference fringe method |
| CN108132230A (en) * | 2018-03-05 | 2018-06-08 | 长春理工大学 | A kind of device and method of liquid refractivity automatic measurement |
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2015
- 2015-08-04 CN CN201520579559.4U patent/CN204882725U/en not_active Withdrawn - After Issue
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105182092A (en) * | 2015-08-04 | 2015-12-23 | 中国南方电网有限责任公司电网技术研究中心 | Selection method and system of optimal zone of target fringe in interference fringe method |
| CN108132230A (en) * | 2018-03-05 | 2018-06-08 | 长春理工大学 | A kind of device and method of liquid refractivity automatic measurement |
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