PENGUKURAN GELEMBUNG MIKRO MENGGUNAKAN ALGORITMA HOUGH CIRCLE TRANSFORM
DOI:
https://doi.org/10.34151/prosidingsnast.v1i1.4957Keywords:
hough circle transform, image processing, microbubbleAbstract
An analysis of the Hough transform algorithm as a microbubble measurement method with manual annotation and accuracy testing methods was conducted. Existing microbubble measurement methods are unable to measure bubble sizes smaller than 150 μm and have equipment that is not compact enough. The Hough transform algorithm may be a more optimized microbubble measurement method than the existing microbubble measurement methods. This research aims to apply and test the Hough circle transform algorithm as a microbubble measurement method. This research was conducted with 5 samples, each sample lasted 10 seconds. In this study, it can be concluded that the Hough Circle Transform algorithm, as a method for measuring microbubbles, is able to detect bubbles with sizes ranging from 0.11 to 0.36 µm, with an average size of 0.20 µm. The average accuracy across the five data samples is 98%.
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