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首页> 外文学位 >Digital image processing in measurement of ice thickness on power transmission lines: A rough set approach.
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Digital image processing in measurement of ice thickness on power transmission lines: A rough set approach.

机译：测量输电线路冰厚的数字图像处理：一种粗糙集方法。

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This thesis introduces a new system for measuring ice accumulated on power transmission lines. The main objective and difficulty is to gain enough information from a two dimensional image of wire covered with ice taken with a simple digital camera and to approximate the actual thickness of the ice covering the wire. The proposed solution combines two methods in a non-standard way. Rough Set Theory is used to process digital images. In the context of filtering digital images an extension of Rough Set Theory called the δ-mesh is applied to wire images. The δ-mesh is designed to combat noise in selected directions without blocking the important information in a wire image. In the second step, a classical digital image processing algorithm, namely, the Gouraud shading algorithm is used to approximate parameter values describing the dependency between actual and measured ice thickness from the image. The core of the system is based on extraction of information from a bare wire with known diameter to approximate the actual ice thickness. A sample application of a complete system to measure ice accumulated on power transmission lines is given. The contribution of this article is an approach to using rough set theory in digital image processing as an aid in directional oriented image filtering.
机译：本文介绍了一种用于测量输电线路上积冰的新系统。主要目的和难点是从用简单的数码相机拍摄的覆盖有冰的电线的二维图像中获得足够的信息，并估算覆盖电线的冰的实际厚度。提出的解决方案以非标准方式结合了两种方法。粗糙集理论用于处理数字图像。在过滤数字图像的情况下，将称为δ网格的粗糙集理论的扩展应用于有线图像。 δ网格设计用于在选定方向上抵抗噪声，而不会阻塞有线图像中的重要信息。在第二步中，经典的数字图像处理算法（即Gouraud阴影算法）用于近似描述描述图像中实际冰层厚度与测量冰层厚度之间的依赖性的参数值。该系统的核心是基于从已知直径的裸线中提取信息以近似实际冰厚的。给出了用于测量输电线路上积聚的冰的完整系统的示例应用程序。本文的贡献是在数字图像处理中使用粗糙集理论作为方向定向图像过滤的辅助方法。

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