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Lumber Defects01:23

Lumber Defects

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Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
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Updated: May 20, 2025

Fabricating Cotton Analytical Devices
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在织制造业中检测缺陷的数据集.

Beatriz Gil-Arroyo1, Juan Marcos Sanz2, Ángel Arroyo1

  • 1Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Digitalización, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n 09006, Burgos, Spain.

Data in brief
|March 27, 2025
PubMed
概括
此摘要是机器生成的。

这个数据集包含巴塔维亚和萨尔加面料的高分辨率图像,用于人工智能驱动的织品缺陷检测. 它有助于加强质量控制和推进织工程研究.

关键词:
人工视觉是一种人工视觉.巴塔维亚和萨尔加的面料.缺陷检测 检测缺陷检测 检测缺陷检测图像分析 图像分析质量检查质量检查检查织工业 织行业 织行业 织行业织制造业 织制造业 织制造业 织制造业

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相关实验视频

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科学领域:

  • 织工程 织工程 织工程
  • 材料科学 是一种材料科学.
  • 计算机视觉 计算机视觉

背景情况:

  • 织制造涉及复杂的织物,如巴塔维亚和萨尔加.
  • 准确的缺陷检测对于织生产的质量控制至关重要.
  • 高分辨率成像提供了详细的织物表面信息.

研究的目的:

  • 为了创建巴塔维亚和萨尔加面料图像的处理数据集.
  • 促进人工智能 (AI) 和机器学习 (ML) 模型的开发,以检测织品缺陷.
  • 支持织工程和材料科学方面的学术研究.

主要方法:

  • 收集了巴塔维亚和萨尔加面料的高分辨率图像. 织品桑坦德里纳.
  • 通过缩小,裁剪和分类成案例和控制来处理图像.
  • 利用受控的照明条件,以保持一致的图像质量.

主要成果:

  • 现在可以获得高质量的织物图像的处理数据集.
  • 该数据集使训练AI/ML模型能够识别织物不一致性,颜色变化和表面不规则性.
  • 这些数据支持对织物特性和自动检查方法的研究.

结论:

  • 该数据集是人工智能驱动的织品缺陷检测的宝贵资源.
  • 它可以显著提高织制造业质量控制的效率和准确性.
  • 促进面料设计,制造技术和自动化质量保证方面的进步.