基于随机配置网络和多尺度特征分析的行业图像分类.
Qinxia Wang1, Dandan Liu2, Hao Tian2
1Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究引入了一种使用随机配置网络 (SCN) 和多尺度特征提取的新图像分类方法. 该方法提高了工业图像数据的识别精度,包括钢带分类.
科学领域:
- 计算机视觉 计算机视觉
- 机器学习 机器学习
- 模式识别 模式识别
背景情况:
- 精确的图像分类对于工业应用至关重要.
- 现有的方法可能会与复杂的工业图像数据集作斗争.
- 多尺度特征提取可以提高分类的稳定性.
研究的目的:
- 为行业图像数据提出一个有效的图像分类方法.
- 利用随机配置网络 (SCN) 来改进分类.
- 通过使用多尺度提取和层集成来增强特征表示.
主要方法:
- 使用深度二维随机配置网络 (2DSCN) 进行多尺度特征提取.
- 整合来自多个层的隐藏特征,以创建更丰富的表示.
- 使用SCN从集成功能中学习分类器.
主要成果:
- 拟议的方法证明了对基准数据集的分类准确度有所提高.
- 在手写数字和工业热钢带数据上都显示出有效的性能.
- 与现有方法的比较证实了拟议方法的有效性.
结论:
- SCNs和多尺度特征提取的结合为工业图像分类提供了一个强大的方法.
- 该方法有效地提取和整合功能,以提高识别率.
- 这种技术显示出在工业环境中改进自动化检查和分析的巨大潜力.
相关概念视频
01:30Classification of Signals
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
01:26Classification of Systems-I
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
01:31Classification of Systems-II
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,