Research on Automatic Screening Algorithm of Electric Power Image Recognition Data Based on Artificial Intelligence

Gang Cao, Yaohong Liu, Liang Chen, Tong Xu, Ting Yu, Sixu Yang, Yu Zhang, Yi Hu
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Abstract

In this paper, artificial intelligence digital image processing technology is used to process power images to form an automatic power image screening system. This method can replace the traditional artificial power image recognition method. This paper studies the specific methods of power image processing and the feasibility of applying them to power image recognition systems. It studies various algorithms for image recognition data automatic screening, feature extraction and pattern recognition, and studies feature extraction for power images. As well as a variety of algorithms for model recognition, we have studied the monitoring and recognition algorithms for power images based on SIFT and RANSAC methods. The selected template image and the key points of the test image are roughly matched. RANSAC removes the wrong matching points. Affine transformation, positioning the set template image in the test image.
基于人工智能的电力图像识别数据自动筛选算法研究
本文采用人工智能数字图像处理技术对电力图像进行处理,形成电力图像自动筛选系统。该方法可以取代传统的人工动力图像识别方法。本文研究了功率图像处理的具体方法及其应用于功率图像识别系统的可行性。研究了图像识别数据自动筛选、特征提取和模式识别的各种算法,研究了功率图像的特征提取。除了各种模型识别算法外,我们还研究了基于SIFT和RANSAC方法的电力图像监测和识别算法。选取的模板图像与测试图像的关键点进行粗略匹配。RANSAC删除错误的匹配点。仿射变换,将设定的模板图像定位在测试图像中。
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