Indonesian Journal of Electrical Engineering and Computer Science
Vol 14, No 2: May 2015

The Detection of straight and Slant Wood Fiber Through slop angle fiber feature

Ratri Dwi Atmaja (Telkom University)
Erwin Susanto (Telkom University)
Junartho Halomoan (Telkom University)
Gurnita Koncara Indraloka (Telkom University)
Muhammad Ary Murti (Telkom University)

Article Info

Publish Date
01 May 2015

Abstract

Quality control is one of important process that can not be avoided in industry. Image processing technique is required to distinguish the quality of wood. If it can be done automatically by the computer, it will be very helpful. This paper discusses the detection of straight and slant wood fiber to distinguish it’s quality. This paper propose an algorithm by using only two features i.e. mean (average value of slop angle fiber) and maximumangle (the maximum value of slop angle fiber). Then the classification method is used by tresholding. The result shows the performance is achieved on accuracy 79.2%. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7725

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Journal Info
Indonesian Journal of Electrical Engineering and Computer Science
Website

Abbrev

IJEECS

Publisher

Institute of Advanced Engineering and Science

Subject

Description

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