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相关概念视频

Hybrid Zones02:29

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Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
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In response to DNA damage, cells can pause the cell cycle to assess and repair the breaks. However, the cell must check the DNA at certain critical stages during the cell cycle. If the cell cycle pauses before DNA replication, the cells will contain twice the amount of DNA. On the other hand, if cells arrest after DNA replication but before mitosis, they will contain four times the normal amount of DNA. With a host of specialized proteins at their disposal,cells must use the right protein at...
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玉米核细分和损坏检测使用混合流域-凸船体方法.

Yi Shen1, Wensheng Wang1,2, Xuanyu Luo1

  • 1College of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China.

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概括

一种新的混合计算机视觉方法,W&C-SVM,准确地对玉米粒进行细分,并使用最小的数据检测损伤. 这种方法为食品加工和育种中的质量控制提供了具有成本效益的解决方案.

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检测损坏检测损坏的检测.食品质量控制 食品质量控制图像分割 图像细分 图像细分粘性玉米核粘性的玉米核流域和凸船体-SVM分类的分类

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科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 准确的玉米核细分和损坏检测对于食品加工质量控制至关重要.
  • 像分水算法这样的传统方法面临过度细分的问题,而深度学习需要大量的注释数据,这给行业带来了实际挑战.

研究的目的:

  • 开发一种混合计算机视觉方法 (W&C-SVM),用于高效的玉米核细分和损坏检测.
  • 通过提出需要最小注释数据的解决方案来解决现有方法的局限性.

主要方法:

  • 集成了一个改进的流域算法 (索贝尔梯度和欧几里德距离变换) 用于细分.
  • 整合凸船体缺陷检测功能,用于识别核损伤.
  • 使用支持矢量机 (SVM) 分类器,在一个小数据集 (50 个图像) 上进行训练.

主要成果:

  • 在一个独立的测试组中,W&C-SVM在损坏检测中实现了94.3%的准确性.
  • 显著优于传统的流域SVM (74.6%),GrabCut (84.5%) 和U-Net (85.7%) 在相同的有限数据上进行培训.
  • 有效地分离了粘附的核,并确定了机械损伤.

结论:

  • W&C-SVM提供了一个强大的,低成本的解决方案,用于以最小的样本要求进行玉米核质量控制.
  • 该方法非常适合中小型食品企业和寻求高效核选择的育种实验室.
  • 这种混合方法克服了工业计算机视觉应用中经常遇到的数据限制.