TY - JOUR
T1 - Swietenia Mahagoni Wood Defects Segmentation Using YIQ Color Space and Thresholding
AU - Rahayu, Sri
AU - Qhomariyah, Nurul
AU - Purnama, Jajang Jaya
AU - Riana, Dwiza
AU - Achyani, Yuni Eka
AU - Ariani, Fattya
N1 - Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.
PY - 2020/11/23
Y1 - 2020/11/23
N2 - The biggest income from Southeast Asian countries came from timber production export activities. The potential for timber exports in Indonesia continued to increase every year. This skyrocketing potential needed to be improved by maintaining quality so that trust and good cooperation continued to be established. The quality of wood has closely related to wood defects, the faster detectionof wood defects would be the faster also determines the quality of wood. Current technology has being developing rapidly to help productive human activities, image processing has being a breakthrough to be able to detect wood defects. This study aims to detect wood defects by segmenting SwieteniaMahagoni wood images by using the YIQ color space and Thresholding has resulted in a fairly good segmentation that is successful in segmenting the types of bark grown wood defects on bontos and defects in healthy knot on the body of wood with each percentage of 83.3%.
AB - The biggest income from Southeast Asian countries came from timber production export activities. The potential for timber exports in Indonesia continued to increase every year. This skyrocketing potential needed to be improved by maintaining quality so that trust and good cooperation continued to be established. The quality of wood has closely related to wood defects, the faster detectionof wood defects would be the faster also determines the quality of wood. Current technology has being developing rapidly to help productive human activities, image processing has being a breakthrough to be able to detect wood defects. This study aims to detect wood defects by segmenting SwieteniaMahagoni wood images by using the YIQ color space and Thresholding has resulted in a fairly good segmentation that is successful in segmenting the types of bark grown wood defects on bontos and defects in healthy knot on the body of wood with each percentage of 83.3%.
UR - http://www.scopus.com/inward/record.url?scp=85097136726&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1641/1/012071
DO - 10.1088/1742-6596/1641/1/012071
M3 - Conference article
AN - SCOPUS:85097136726
SN - 1742-6588
VL - 1641
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012071
T2 - 1st International Conference on Advanced Information Scientific Development, ICAISD 2020
Y2 - 6 August 2020 through 7 August 2020
ER -