Agar Wood Grade Determination System Using Image Processing Technique

Abstract

The aim of this study is to develop a prototype of Agar wood grade determination system using image processing technique. Agar wood becomes one of the valuable forest products compared to others because of its quality that makes the wood is high in demand. It is also famous because of its special aroma and used for many purposes such as ingredients in perfume, medical and others. The raw Agar wood is sold in either as large pieces of block chips or powder form. Manually, the quality and price of Agar wood are determined by its shape, size, color and weight. There is no such modern way in determining the grade of Agar wood except by using the traditional or manual methods above. As a result, the process of Agar wood’s grade determination consumes time and performed ineffectively. Besides, many experts and experienced employees are required to determine the grade of Agar wood. As a solution, we need a system that is able to detect the percentage of the density of black color by using grayscale images of Agar wood as well as determining the grade based on the percentage. The objective of this paper is to determine the appropriate image processing technique that is able to perform the detection and determination tasks. The detail outcome and result from the experiments of the technique are discussed in this paper.