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@@ -14,6 +14,8 @@ Thereby helping in understanding de-mixing phenomena of the bed particles. The m | |
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| [](https://youtu.be/9iLVBLPcSRk) | ||
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| Refer to the video above for a 5second vido clip from one of the video captured, rest can be found in the drive link attached below. | ||
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| # Challenges I ran into | ||
| Reading cylindrical and spherical particles simultaneously was a challenge, so I had to first segregate between cylindrical and spherical particles according to the luminous intensity of the reflections, and then treat both types of particles differently. Moreover, not much work in this area had been previously done on this topic, whatever was present was covered by MATLAB, so I proposed a similar solution by the usage of OpenCV. Also in some images the contrast difference between the particles and the background wasn't that high, due to which I was facing challenges in detecting their edges, also some particle's 2D cross section looks something different from their 3d view - like in the cast of oblate spherical particles where the 2d cross section seems to be like prolate elongated particles, leading to paths of errors. Also some regions of the S-Bend weren't properly illuminated leading to clustering of zones, which also lead to some error factor. | ||
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@@ -26,15 +28,28 @@ The accuracy can be further inhanced by incorporating some of the following norm | |
| 2. Using particles whose colour is highly distinctive with respect to the background. As it would help in particle detection. | ||
| 3. Allowing only one type of particles through the S-Bend, this would help in reducing the work load in particle segregation. | ||
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| > [!NOTE] | ||
| > Detecting cuboidal particles was the most difficult, as it was blending with the background colour. | ||
| # Important Links | ||
| Videos from high speed camera were taken by PhD candidates and they happen to be very large in size, it can be accessed from [here](https://drive.google.com/drive/folders/1NQjE6AnNW-kiH9jZ47fWmyq9L2_LGGzc?usp=sharing). The image frames of these videos though have been uploaded in the repo. | ||
| Videos from high speed camera were taken by PhD candidates and they happen to be very large in size, it can be accessed from [here](https://drive.google.com/drive/folders/1NQjE6AnNW-kiH9jZ47fWmyq9L2_LGGzc?usp=sharing). The image frames of these videos though have been uploaded in the repo. | ||
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| > [!NOTE] | ||
| > The demo video contains a 5second clip of one of the larger files for easy access. | ||
| > Medium Documentation of the Project [Link](https://medium.com/@beingamanforever/orientation-study-of-elongated-fluidized-bed-99677e5a370e) | ||
| ## Some of the image frames from the videos captured using high-speed cameras | ||
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| # References used | ||
| Used this [research paper](https://www.sciencedirect.com/science/article/abs/pii/S003259101930587X) for reference, here only the image analysis of cylindrical particles was done. I extended to consider various other type of particles. | ||
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| # Author | ||
| [Aman Behera](https://github.com/beingamanforever) , IIT Roorkee for any suggestions do reach me out at [email protected] | ||