The Analysis of Underwater Imagery System for Armor Unit Monitoring Application

Dewi Mutiara Sari; Bayu Sandi  Marta; Muhammad  Amin A; Haryo  Dwito Armono

doi:10.25139/ijair.v5i1.5918

Dewi Mutiara Sari Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
Bayu Sandi Marta Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
Muhammad Amin A Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
Haryo Dwito Armono Ocean Engineering Department, Faculty of Marine Engineering, Institut Teknologi Sepuluh Nopember

https://doi.org/10.25139/ijair.v5i1.5918

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PDF downloads: 254

Keywords: Armor Unit, Underwater Color Image Quality Evaluation, Underwater Image Quality Measures, Image Enhancement, Image Color Restoration, Frame per Second

Abstract

The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods. The results obtained are an average frame per second is 20.71 without applying the method, 0.45 fps for using the multi-scale retinex with color restoration method, 16.75 fps for applying the Contrast Limited Adaptive Histogram Equalization method, 16.17 fps for applying the Histogram Equalization method. The image quality evaluation uses the underwater color quality evaluation with 48 data points. The method that has experienced the most improvement in image quality is multi-scale retinex with color restoration. Forty data have improved image quality with an average of 14,131, or 83.33%. The number of images that experienced the highest image quality improvement was using the multi-scale retinex with color restoration method. Meanwhile, for image quality analysis based on Underwater Image Quality Measures, out of a total of 48 images, the method with the highest value for image quality is the contrast limited adaptive histogram equalization method. 100% of images have the highest image matrix value with an average value is 33.014.

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Author Biographies

Dewi Mutiara Sari, Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya

Bayu Sandi Marta, Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya

Muhammad Amin A, Departement of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya

Haryo Dwito Armono, Ocean Engineering Department, Faculty of Marine Engineering, Institut Teknologi Sepuluh Nopember

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