基于改进MSER算法的电力设备红外故障区域提取方法

基于改进MSER算法的电力设备红外故障区域提取方法论文题目：基于改进MSER算法的电力设备红外故障区域提取方法摘要：随着电力设备红外图像在故障诊断中的广泛应用，如何提取出有效的红外故障区域成为研究的热

MSER 基于改进算法的电力设备红外故障区域提取 方法 MSER 论文题目：基于改进算法的电力设备红外故障区域提取方法 摘要：随着电力设备红外图像在故障诊断中的广泛应用，如何提取 出有效的红外故障区域成为研究的热点。目前，采用改进的基于极值稳 MSER 定区域段（）算法进行电力设备红外故障区域提取已取得较好的效 MSER 果。本论文针对传统算法在提取复杂红外图像中存在的问题，提 MSER 出了一种基于改进算法的电力设备红外故障区域提取方法。该方 MSER 法首先对红外图像进行预处理，然后采用改进的算法提取红外故 障区域。实验结果表明，该方法在提取电力设备红外故障区域时具有较 好的准确性和鲁棒性。 MSER 关键词：电力设备；红外图像；故障区域提取；算法 Abstract: With the extensive application of infrared images of power equipment in fault diagnosis, how to extract effective infrared fault regions has become ahot research topic. Currently, using the improved Maximally Stable Extremal Regions (MSER) algorithm for extracting infrared fault regions in power equipment has achieved good results. This paper addresses the problems of traditional MSER algorithm in extracting complex infrared images, and proposes a method based on improved MSER algorithm for extracting infrared fault regions in power equipment. This method first preprocesses the infrared images, and then uses the improved MSER algorithm to extract the fault regions. Experimental results demonstrate that the proposed method has good accuracy and robustness in extracting infrared fault regions in power equipment. Keywords: Power equipment; Infrared images; Fault region extraction; MSER algorithm 1. 引言 随着红外图像技术在电力设备故障诊断中的广泛应用，提取电力设 备红外故障区域成为一个重要的任务。由于红外图像中的故障区域与背