基于并行编码纹理单元的新纹理光谱及其对图像分类的应用:视觉感应的潜在前景
José Trinidad Guillen Bonilla1, Nancy Elizabeth Franco Rodríguez2, Héctor Guillen Bonilla3
1Departamento de Electro-Fotónica, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Blvd-M. García Barragán 1421, Guadalajara 44430, Jalisco, Mexico.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
基于并行编码纹理单元 (TS_PETU) 的新纹理光谱为工业质量控制提供了高效和快速的纹理分类. 这种方法在二进制图像和更大的观察窗口方面表现出色,显示出重要的工业应用潜力.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 机器学习 机器学习
背景情况:
- 高效和快速的纹理分类对于工业质量控制至关重要.
- 现有的方法可能无法满足实时工业流程的速度和效率要求.
- 需要在不同的环境中进行强大的纹理分析,从受控的工业环境到自然场景.
研究的目的:
- 提出一种新的纹理光谱,基于并行编码纹理单元 (TS_PETU) 的纹理光谱,用于高效快速的纹理分类.
- 用两个不同的图像数据库来评估TS_PETU的性能:工业和树干.
- 为了证明TS_PETU在工业质量控制的多类分类任务中的适用性.
主要方法:
- 开发一种新的纹理单元,并行编码.
- 介绍TS_PETU作为多类分类的特征向量.
- 使用大于3x3的观察窗口来提高分类准确性.
- 在工业图像 (Interceramic®®) 和天然树干图像上测试该方法.
主要成果:
- 该TS_PETU分类器证明了效率和速度,满足关键的工业要求.
- 实现了高分类效率,特别是在更大的观测窗口下.
- 通过应用并行编码概念,减少了TS_PETU的计算时间.
- 成功对两个不同的图像数据库进行分类,表明了多功能性.
结论:
- 拟议的TS_PETU技术满足了工业纹理分类的效率和速度的关键要求.
- 通过使用更大的观测窗口和并行编码,提高了该方法的有效性.
- 对于工业应用,TS_PETU显著有前途,特别是在质量控制方面,其在分类Interceramic®®的高效率证明了这一点.
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