Method and system for determining the velocity of a moving fluid surface

• US 10,444,255 B2
• Filed: 11/02/2015
• Issued: 10/15/2019
• Est. Priority Date: 11/07/2014
• Status: Active Grant

• Current Assignee: Photrack AG
• Original Assignee: Photrack AG
• Inventors: Luthi, Beat, Philippe, Thomas, Pena-Haro, Salvador
• Primary Examiner(s): Woldemariam, Aklilu K
• Application Number:
  US15/524,670
• Publication Number:
  US 20180299478A1
• Time in Patent Office: 1,443 Days
• Field of Search: 382100, 382173, 382193, 382201, 382203, 382266, 382209, 382142, 382151, 382288, 356623, 356622, 356621
• CPC Class Codes: G01C 13/006 horizontal movement
• CPC Class Codes: G01C 13/008 measuring depth of open water
• CPC Class Codes: G01F 1/002 wherein the flow is in an open channel
• CPC Class Codes: G01F 1/7086 using optical detecting arrangements
• CPC Class Codes: G01F 1/712 using auto-correlation or cross-correlation detection means
• CPC Class Codes: G01F 23/292 Light , e.g. infrared or ultraviolet
• CPC Class Codes: G01P 5/001 Full-field flow measurement, e.g. determining flow velocity and direction in a whole region at the same time, flow visualisation
• CPC Class Codes: G01P 5/18 by measuring the time taken to traverse a fixed distance
• CPC Class Codes: G01P 5/22 using auto-correlation or cross-correlation detection means
• CPC Class Codes: G06T 7/254 involving subtraction of images
• CPC Class Codes: G06T 7/285 using a sequence of stereo image pairs
• CPC Class Codes: Y02A 90/30 Assessment of water resources

Abstract

A method for determining the velocity of a moving fluid surface, which comprises the following steps S1 to S5: S1) taking a sequence of images of the moving fluid surface by at least one camera; S2) comparing a first image from the sequence with a second image from the sequence in order to distinguish moving patterns of the fluid surface from non-moving parts and to obtain a first processed image (im_1f) comprising the moving patterns; S3) comparing a third image from the sequence with a fourth image from the sequence in order to distinguish moving patterns of the fluid surface from non-moving parts and to obtain a second processed image (im_2f) comprising the moving patterns; S4) comparing the first and second processed images in order to determine the spatial displacements of the moving patterns; and S5) determining from the spatial displacements the velocity.

Claims

1. A method for determining velocity of a moving fluid surface, comprising the following steps S1 to S5:

S1) receiving by a processor a sequence of digital images of the moving fluid surface taken by at least one digital camera;

S2) comparing, with the processor, a first digital image from the sequence of digital images taken at time t1 with a second digital image from the sequence of digital images taken at time t2 by building the absolute difference between the first digital image and the second digital image in order to distinguish fluid moving patterns of the fluid surface from non-moving fluid and non-moving non-fluid parts and to obtain a first processed image comprising the fluid moving patterns, wherein t2 is later than t1;

S3) comparing, with the processor, a third digital image from the sequence of digital images taken at time t3 with a fourth digital image from the sequence of digital images taken at time t4 by building the absolute difference between the third digital image and the fourth digital image in order to distinguish said fluid moving patterns of the fluid surface from non-moving fluid and non-moving non-fluid parts and to obtain a second processed image comprising said fluid moving patterns, wherein t3 and t4 are later than t1 and wherein t4 is later than t3;

S4) comparing, with the processor, the first and second processed images in order to determine the spatial displacements of said fluid moving patterns; and

S5) determining, with the processor, from the spatial displacements, the velocity,

wherein in step S4 spatial displacements are determined by evaluating a cross-correlation between subwindows of the first and second processed images.

2. The method of claim 1, wherein, for obtaining the first processed image and/or the second processed image in step S2 and/or S3, at least one of the following steps is performed:

the second image is used as the third image, so that t2 corresponds to t3,

the first, second, third and fourth images are provided as monochromatic images,

the absolute difference between the first image and the second image is built and preferably filtered by applying a bandpass filter, in particular a Gaussian filter,

the absolute difference between the third image and the fourth image is built and preferably filtered by applying a bandpass filter, in particular a Gaussian filter.

3. The method according to claim 1, wherein the fluid flows through an open channel, preferably the channel'"'"'s geometry being given in world coordinates and/or preferably the method further comprising at least one of the following steps:

determining the spanwise profile of streamwise velocity,

determining the level of the fluid surface,

determining the discharge of the fluid through the channel.

4. The method of claim 3, further comprising the following steps for determining the level of the fluid surface:

comparing at least two images from the sequence taken at different times in order to obtain a comparative image distinguishing the fluid parts imaged from the non-fluid parts imaged,

mapping a boundary defined in the world coordinates at different heights to the image coordinates of the at least one camera by means of a camera model in order to get mapped boundaries,

comparing the mapped boundaries with the imaged boundary in the comparative image defining the transition from the fluid parts to the non-fluid parts, and

determining out of the mapped boundaries the boundary which best fits to the imaged boundary.

5. The method of claim 4, wherein at least one of the following steps is performed:

determining the extreme values of corresponding pixels in the at least two images or in at least two processed images obtained in steps S2 and S3 and building the difference between the extreme values to get a difference image, which comprises pixels having a value above a given threshold defining a fluid part and pixels having a value below the threshold defining a non-fluid part,

building the gradient of the average over the at least two images and subtracting it from the difference image,

determining the maximum slope of the function, which is given by the sums built by summing up the values of the pixels defining a mapped boundary.

6. The method according to claim 3, wherein, for determining the level of the fluid surface, a first camera and at least a second camera are used to image at least a section of the fluid surface in the open channel by stereo gauging, wherein steps S1 and S2 are carried out for the at least two cameras to obtain a processed image for the first camera and a processed image for the second camera, the processed images comprising moving patterns of the fluid surface, wherein at least part of the processed images are projected on a plane at different heights to obtain projected images, comparing the projected images in order to find the plane for which the projected image of the first camera fits best with the projected image of the second camera.

7. The method according to claim 3, wherein the variation of the fluid velocity in the vertical direction is modeled by using a mathematical model, the method further comprises at least on the following steps:

determining the discharge based on the mathematical model with the velocity determined in step S5 as a boundary condition and based on the information obtained for the level of the fluid surface,

determining at least one parameter related to the hydrodynamic roughness of the channel by means of the mathematical model, the information on the velocity determined in step S5 and the information obtained for the level of the fluid surface.

8. The method according to claim 4, wherein a relationship between the world coordinates and image coordinates is established by means of at least one of the following steps:

at least two reference markers with a given distance therebetween are imaged by the at least one camera, the at least two reference markers being arranged on the channel above the fluid surface or being arranged in a floating manner on the fluid surface,

information are used provided by a sensor measuring the orientation of the at least one camera,

information are used provided by a GPS receiver measuring the location of the at least one camera.

9. The method according to claim 1, wherein in step S1 at least one of the following items are used:

at least one camera, which is firmly or movably arranged on a fixed surface,

a mobile device, in particular a mobile phone, held by a user.

10. The method according to claim 9, wherein fixed correction markers together with the fluid are imaged by a mobile device in step S1, wherein, for reducing the effect of a movement of the mobile device during taking the images, the position of the imaged correction markers are compared in order to transform the images used for the following steps S2 to S4 such that a spatial displacement of the imaged correction markers is reduced and/or in order to disregard for the following steps S2 to S4 those images, for which the spatial displacement of the imaged correction markers are above a given threshold.

11. The method according to claim 1, wherein in step S1 the fluid is illuminated by means of a lightening device, in particular an infrared beamer.

12. A system comprising at least one imaging device for taking a sequence of images and a computing device comprising a memory and a processing unit, wherein the computing device is equipped with a computer program, on the running of which the method according to claim 1 can be carried out.

13. The system according to claim 12, which comprises a mobile device, in particular a cellular phone or a tablet, the mobile device comprises at least one of the following components:

a built-in camera;

a GPS receiver for determining the location of the mobile device;

a sensor for determining the orientation of the mobile device;

an accelerometer;

the computer program, which is preferably in form of an app.

14. The system according to claim 12, wherein the direction and/or zoom of the at least one imaging device is controllable, preferably the at least one imaging device is a pan-tilt-zoom camera.

15. The system according to claim 12, further comprising a calibration body, which comprises a predetermined length scale and is configured to float on the fluid surface, preferably the calibration body is in the form of a dumbbell.

16. A computer program, wherein on running thereof on a computer the method according to claim 1 is carried out.

17. A data medium on which the computer program according to claim 16 is stored.