图像边缘检测增强使用Sakaguchi类型函数的系数映射到花形域上的图像边缘检测增强
E K Nithiyanandham1, B Srutha Keerthi1
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology Chennai Campus, Chennai - 600 127, India.
Heliyon
|June 3, 2024
概括
本研究引入了一种新的算法,用于使用CSKP模型精确检测图像边缘. 该方法增强了边缘特征分析,用于改进计算机视觉和医学成像应用.
科学领域:
- 图像处理 图像处理
- 计算机视觉 计算机视觉
- 医疗成像医学成像
背景情况:
- 边缘检测对于图像分析至关重要.
- 在复杂的场景中,现有的方法可能缺乏精度.
研究的目的:
- 引入一种新的算法,以提高图像边缘检测精度.
- 为了利用子类数学 (CSKP模型) 的系数来进行边缘检测.
主要方法:
- 在图像像素上使用卷积运算.
- 在八个不同的方向使用CSKP面具窗口.
- 使用对比度,相关性,能量,均性和等指标评估图像质量.
主要成果:
- 在图像边缘检测方面表现出显著的改进.
- 通过感知指标验证了算法的有效性.
- 展示了全面的,多方向的边缘特征分析.
结论:
- 拟议的算法为增强图像边缘检测提供了一个强大的解决方案.
- 这种方法有可能在图像处理方面推进最先进的技术.
- CSKP模型为未来边缘检测研究提供了一个有希望的基础.
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