摘要
由于传统图像增强方法难以提取单一电力线特征,导致航拍电力线图像增强效果不佳。为此,研究基于小波神经网络的航拍电力线图像增强方法,利用相关设备获取航拍电力线图像,梯度信息处理和对比度测量图像,完成图像校正。在小波神经网络的作用下,提取多个电力线图像特征,通过权重值和损失值筛选图像特征,生成电力线图像增强算法。在实验测试中,与传统航拍电力线图像增强方法相比,设计的图像增强方法的图像信息熵数值较高,其最高值达到了9.34bit,并且增强后的图像更加清晰,表明其具备较好的增强效果。
The enhancement effect of aerial power line image is not ideal due to the extraction of single power line feature.Therefore,the method of aerial power line image enhancement based on wavelet neural network is studied.The related equipment is used to acquire aerial power line image,gradient information processing and contrast measurement image to complete image correction.Under the action of wavelet neural network,several power line image features are extracted,and the power line image enhancement algorithm is generated by filtering the image features by weight value and loss value.In the experimental test,compared with the traditional aerial power line image enhancement method,the image information entropy value of the designed image enhancement method is higher,and its maximum value reaches 9.34bit,and the enhanced image is clearer,and it has a good enhancement effect.
作者
赵冰
张思华
张忠诚
卢晓莹
孙向阳
ZHAO Bing;ZHANG Si-hua;ZHANG Zhong-cheng;LU Xiao-ying;SUN Xiang-yang(Beijing Zhongguancun Zhilian Safety Science Research Institute Co.,Ltd.,Beijing 100080,China)
出处
《信息技术》
2025年第12期125-130,共6页
Information Technology
关键词
小波神经网络
航拍图像
电力线图像
图像增强
增强方法
wavelet neural network
aerial image
power line image
image enhancement
enhanceme-nt method
