研究目的
Investigating the threshold effect on the performance of two particle tracking algorithms, the centroid method (CM) and the radial symmetry method (RSM), in digital video images.
研究成果
The study concludes that both CM and RSM algorithms show dependence on threshold values in terms of accuracy on particle position, with RSM performing better than CM at zero noise level. However, RSM's performance is more affected by increased noise levels, indicating the necessity for noise reduction techniques in gradient vector calculation for RSM.
研究不足
The study is limited to synthetic images and does not account for all possible real-world conditions. The performance of RSM is significantly affected by increased noise levels, suggesting the need for noise reduction methods in gradient vector calculation.
1：Experimental Design and Method Selection:
The study involves generating synthetic digital video images with randomly placed multiple particles to compare the absolute errors on particle detection by varying threshold values using CM and RSM algorithms.
2：Sample Selection and Data Sources:
Simulated images are generated based on the intensity profile of a single particle recorded experimentally using Digital Video Microscopy (DVM).
3：List of Experimental Equipment and Materials:
A 100X (NA =
4：3) oil immersion microscope objective coupled with a CCD camera was used for experimental images. Experimental Procedures and Operational Workflow:
The study applies threshold values to the images to eliminate background intensity and focuses on the bright region of the particles (active area) to determine particle positions using CM and RSM algorithms.
5：Data Analysis Methods:
The absolute errors on particle detection are evaluated for each algorithm by varying threshold values and image noise levels.
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