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Pengukuran Gelembung Mikro Menggunakan Algoritma Hough Circle Transform

Year: 2024

Type: article

Abstract: 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%.

Source: Prosiding SNAST

DOI: 10.34151/prosidingsnast.v1i1.4957

Authors: Dinda Salsabiila Padmakirana, Yusnan Hasani Siregar*, Taufik Ibnu Salim, Frida Agung Rakhmad

Institutions: Sunan Kalijaga State Islamic University Yogyakarta, National Research and Innovation Agency

Language: English

Topic: Image and Object Detection Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4406077593

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