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Journal > TELKOMNIKA Indonesian Journal of Electrical Engineering > The Detection of straight and Slant Wood Fiber Through slop angle fiber feature

 

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TELKOMNIKA Indonesian Journal of Electrical Engineering
Vol 14, No 2: May 2015
The Detection of straight and Slant Wood Fiber Through slop angle fiber feature
Atmaja, Ratri Dwi ( Telkom University)
Susanto, Erwin ( Telkom University)
Halomoan, Junartho ( Telkom University)
Indraloka, Gurnita Koncara ( Telkom University)
Murti, Muhammad Ary ( Telkom University)
Article Info   ABSTRACT
Published date:
01 May 2015
 
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%
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