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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmu Komputer dan Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Journal of Environmental Engineering and Sustainable Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Keteknikan Pertanian Tropis dan Biosistem Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Multimedia Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jiko (Jurnal Informatika dan komputer) Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Teknik Informatika (JUTIF) Jurnal Informatika dan Multimedia
Yuita Arum Sari
Brawijaya University, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : Jurnal Manajemen Informatika dan Sistem Informasi

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COMBINED CONTOUR DETECTION AND POINT CLOUD OF RGB-DEPTH IMAGE FOR FOOD VOLUME ESTIMATION Yuita Arum Sari
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 8 No. 1 (2025): MISI Januari 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v8i1.1408

Abstract

Assessing nutritional consumption entails a procedure that enables nutritionists and dietitians to track the eating habits of patients within healthcare settingsTraditionally, this measurement relies on manual observations by specialists utilizing visual analysis. However, this approach is prone to subjectivity due to the risk of expert fatigue, which can result in inaccuracies. Furthermore, the evaluations may differ among experts based on varying viewpoints. In a decision support system, a more objective analysis is necessary. Previous research has utilized the area captured in a food image to estimate the weight of food on a plate. Nonetheless, this technique still results in numerous prediction errors. To tackle this issue, we propose a novel method to calculate the volume of food from a camera image, which aims to provide a more accurate weight prediction. In this paper, we introduce a new approach that combines contour detection with a point cloud derived from RGB depth images to capture height information. The Root Mean Square Error (RMSE) for height prediction is 1.04 and 1.55 when viewed from the first and second sides, respectively, while the volume prediction reaches an RMSE of 45.08. This suggests that the differences between the predicted and actual values for volume and height are suitable for practical applications.
Co-Authors Achmad Arwan Adinugroho, Sigit Agus Wahyu Widodo, Agus Wahyu Agus Zainal Arifin Alayasi, Mutia Alfisyar Jefry Pranata Anggi Gustiningsih Hapsani Anggi Gustiningsih Hapsani Bihanda, Yusuf Gladiensyah Budi Darma Setiawan Chastine Fatichah Dahnial Syauqy Dewa Gede Trika Meranggi Dhea Rahma Widyadhana Edy Santoso Evy Kamilah Ratnasari Fadhil Yusuf Rahadika Fatchurrahman, Danial Hapsani, Anggi Gustiningsih Hurriyatul Fitriyah Indriati Indriati Jaya Mahar Maligan Jaya Mahar Maligan Jayawarsa, A.A. Ketut Laksono Trisnantoro Lukman Hakim Luthfi Maulana, Luthfi M. Ali Fauzi Muhammad Aminul Akbar Muhammad Hafiz Azhar Muhammad Tanzil Furqon Mustika Mentari Nabila Nur’aini Natasya Eldha Oktaviana Novanto Yudistira Nugraha, Dwi Cahya Astria Nuraini, Nabila Putra Pandu Adikara Putra Pandu Adikara Putra Pandu Adikari Raditya Rinandyaswara Randy Cahya Wihandika Ratih Kartika Dewi Renaldi Primaswara Praetya Rifki Akbar Siregar Rizal Maulana, Rizal Rizky Maulana Iqbal Sigit Adinugroho Simangunsong, Bryan Nicholas Josephin Hotlando Siti Mutrofin Tesa Eranti Putri Utaminingrum, Fitri Wijaya Kurniawan Yusuf Gladiensyah Bihanda