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Potency of image textural feature for granular size estimation
Radi1*, Muhammad Danu A. 1, Bambang Purwantana 1, Muhammad Rivai 2

1Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No.1 Bulaksumur, Yogyakarta 55281, Indonesia
2Department of Electrical Engineering, Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember, Indonesia


Abstract

Abstract. Particle size is one of the quality attributes of a number of food products. This quality attribute often determines the taste and flavour of such food product, for example, i.e. ground coffee powder or instant coffee product. For reasons of taste and flavour, a number of food producers determine the size for each ground coffee product, as well as for the granular size of their instant coffee. The particle size is generally determined through laboratory testing, such as the use of sieves, which of course, the process is time consuming. On the other hand, a continuous food processing requires a rapid measurement process for accessing each quality product, include the particle size. Therefore, it is necessary to develop a rapid method for the particle size estimation of correspond food product. This study aims to examine image features that have potentially to estimate the particle size of granular. The research focused on the texture features extracted from the sample image. Samples of varying sizes particle are captured with a camera at a constant lighting level. A feature extraction program was developed to extract the texture features of the images. These features are then evaluated for their relationship to the granular size. The results show that a number of texture features have a strong relationship to the sample granular size and have a high chance of being used as estimating particle size.

Keywords: estimation, particle size, granular, textural feature, image processing

Topic: Energy and agricultural machinery

Link: https://ifory.id/abstract/ZpnXr4qmDFW9

Conference: The 3rd International Symposium on Agricultural and Biosystem Engineering (ISABE 2019)

Plain Format | Corresponding Author (Radi Radi)

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