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and the background subtracted. The image is normalised based on a maximum and minimum value. This gives a better contrast between the gray backdrop and the droplets.
The hough transform gives the location and diameter of circles found in the image Note that not all the drops are detected
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in </td, </td, </td, </td, <div class=""table-responsive"", <div class=""webkit-scrollbars webkit-scrollbars–table"", <figure class=""wp-block-image"", <h2, <p, <p, <td, <td, <td, 200</td, 220</td, 25</td, 25</td, and some which we consider in the background are picked up. The problem comes from the larger droplets where the inner core is picked up and not the full outside.</p, Comment</strong, Figure below show the Description of that method.</p, Flow meter cm</strong, Flow rates that supply in this case:</p, Liquid Turbulence</h2, Oil surface is stable. However, Strategy Evaluation</h2, Submerged length mm</strong, Tube calibration l/min</strongcut away from the whole screen to take out the boundary. You can see here the three marker dots which are used for scaling. Next the frame of interest is loaded