Swietenia Mahagoni Wood Defects Segmentation Using YIQ Color Space and Thresholding

Sri Rahayu, Nurul Qhomariyah, Jajang Jaya Purnama, Dwiza Riana, Yuni Eka Achyani, Fattya Ariani

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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%.

Original languageEnglish
Article number012071
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 23 Nov 2020
Externally publishedYes
Event1st International Conference on Advanced Information Scientific Development, ICAISD 2020 - Bekasi, West Java, Indonesia
Duration: 6 Aug 20207 Aug 2020


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