Volume Determination of Symmetrical Object with Distance Parameter Using Linear Regression Method

(1) * Jatmiko Endro Suseno Mail (Diponegoro University, Indonesia)
(2) Agus Setyawan Mail (Universitas Diponegoro, Indonesia)
(3) Isnain Gunadi Mail (Diponegoro University, Indonesia)
*corresponding author


The object’s volume is a consideration in determining the quantity of products such as eggs, fruit, piles of rice, or sand. This research aims to obtain a system for determining the volume of a symmetrical object using the linear regression method in real-time, faster, more effective, and more enjoyable. This research uses segmentation methods and linear regression to determine the volume of a symmetrical object. The objects are a pile of rice and eggs which have symmetrical shapes. The shape of the symmetry in each object is a cone for a pile of rice and an oval for an egg. The results of this research are a system of symmetrical object volume determination using the linear regression method with an accuracy score of 96.48% for piles of rice and 97.84% for an egg. This system has limitations, there are the volume value must be in the data range that has been trained and the camera phone must be the same.


Volume, Symmetrical Object, image processing and linear regression




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