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

Ratri Dwi Atmaja, Erwin Susanto, Junartho Halomoan, Gurnita Koncara Indraloka, Muhammad Ary Murti


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%.




Detection, slop angle fiber feature, algorithm of feature extraction

Full Text:



  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

shopify stats IJEECS visitor statistics