Jurnal Teknologi Dan Sistem Informasi Bisnis
Vol 7 No 1 (2025): Januari 2025

A Novel RGB-Depth Imaging Technique for Food Volume Estimation

Sari, Yuita Arum (Unknown)



Article Info

Publish Date
16 Jan 2025

Abstract

Evaluating nutrient intake among patients in a hospital is crucial, as it can accelerate their recovery process. Estimating calorie intake can be achieved by monitoring the quantity of food consumed by patients both before and after their meals. This approach involves various methods, including the use of digital scales, the Comstock level, and digital imaging techniques. Nonetheless, these techniques have their own limitations, particularly the risk of subjective assessments. To reduce errors arising from human factors, an objective evaluation is proposed. This paper introduces a new technique for measuring volume using RGB-Depth images. The method incorporates image segmentation and edge detection in RGB images to correspond with the depth image. Subsequently, the segmented regions and boundaries from the depth images are converted into point clouds. The volume of interest is calculated by fitting the point cloud to an ellipsoid. The lowest Mean Average Percentage Error (MAPE) is 2.73. It indicates that the proposed method is sufficient to measure the food volume.

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Journal Info

Abbrev

jteksis

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Jurnal Teknologi dan Sistem Informasi Bisnis merupakan Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Dharma Andalas untuk berbagai kalangan yang mempunyai perhatian terhadap perkembangan teknologi komputer, baik dalam pengertian luas maupun khusus dalam bidang-bidang tertentu yang ...