两个过器用于从弱光背景,光显微镜,传输电子显微镜和近红外摄像机中获得的图像中获取配置文件
Yinghui Huang1, Ruoxi Yang2, Xin Geng3
1School of Information Science and Technology, Nantong University, Nantong 226019, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
新的过器有效地提取图像配置文件,即使在噪音条件下. 这些新的方法显示出对模式识别和对象跟踪应用的希望.
科学领域:
- 图像处理 图像处理
- 计算机视觉 计算机视觉
- 模式识别 模式识别
背景情况:
- 图像配置文件提取对于简化描述和突出显示图像区域至关重要.
- 现有的方法面临着低光条件和噪音数据的挑战.
研究的目的:
- 设计和评估新型过器,以进行可靠的图像配置提取.
- 在各种成像条件下评估波器性能,包括显著的噪音.
主要方法:
- 开发了两种使用指数函数和斜边函数的新过器.
- 在来自弱光,光,电子显微镜和近红外源的图像上测试过器.
- 在高水平高斯白噪声 (平均0.9) 损坏的图像上评估性能.
- 将结果与Gabor波段,流域和匹配过器进行比较.
主要成果:
- 过器成功地从各种图像类型中提取了配置文件,包括弱光和显微镜数据.
- 使用设计过器,有效识别了巢结构.
- 过器在从严重噪音降解的图像中提取边缘形态方面表现出高效率.
- 在杂的图像配置文件提取中超越或匹配已建立的过器.
结论:
- 拟议的过器为图像配置文件提取提供了强大的解决方案,特别是在具有挑战性的环境中.
- 对于模式识别和对象跟踪的应用有明显的潜力,在噪音数据上表现优于现有的方法.
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