Segmentation of each particle in a frame
Updated Mon, 30 May 2022 13:47:32 +0000
- The script will read the video file and split each frame.
- Create a binary mask of all the particle by global threshold that is computed using OTSU's method.
- Compute the shape measurment (area) and pixel measurement (mean intensity) of each particle in a frame.
- The above process is repeated to all the frames in the video.
- The area and mean intensity of the particle is stored in a single file.
- Each RGB frame is converted to gray scale --> it is unit8
- Compute the OTSU threshold and generate a binary mask.
- Computer the Area and Mean Intensity of each particle.
- Create label mask and find the total number of blobs from bwlabel structure.
- Sort the measurements value based on the AREA in descending order.
- Get the top rows in each frame based on the minimum counts of the particle in each frame.
- Store the area and mean intensity of all particle in a frame.
- Input -- Give the complete path of the video file at line 37
- Output -- Area and mean intensity of each particle in a frame across the video length.
Sajid Ali (2022). Segmentation of each particle in a frame (https://github.com/sajidalirander/Segmention-of-each-particle-in-a-frame-across-all-frames-in-a-video/releases/tag/1.1), GitHub. Retrieved .
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