Forestry is an undoubtedly crucial part of today’s industry; thus, automation of certain visual tasks could lead to a significant increase in productivity and reduction of labor costs. Eye fatigue or lack of attention during manual visual inspections can lead to falsely categorized wood, thus leading to major loss of earnings. These mistakes could be eliminated using automated vision inspection systems. This article focuses on the comparison of researched methodologies related to wood type classification and wood defect detection/identification; hence, readers with an intention of building a similar vision-based system have summarized review to build upon.

中文翻译：

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木材识别和质量成像检查系统

林业无疑是当今工业的关键部分。因此，某些视觉任务的自动化可以导致生产率的显着提高和人工成本的降低。眼睛疲劳或手动目视检查期间注意力不集中会导致对木材的分类错误，从而导致大量收入损失。这些错误可以使用自动视觉检查系统消除。本文着重比较与木材类型分类和木材缺陷检测/鉴定有关的研究方法。因此，打算建立类似的基于视觉的系统的读者已经总结了一些综述。