摘要
为了减少噪声对轮胎图像的影响,研究了几种不同轮胎图像降噪算法。首先构建带有高斯噪声和椒盐噪声的轮胎图像;然后采用均值滤波、中值滤波和小波变换算法实现轮胎图像去噪;最后通过实验验证了轮胎图像去噪方法的有效性,分析了不同方法的峰值信噪比(Peak Signal to Noise Ratio, PSNR)性能。
To reduce the influence of tire image noise,several different tire image noise reduction algorithms are studied.Tire images with Gaussian noise and salt&pepper noise are constructed,and mean filtering,median filtering and wavelet transform algorithms are used to realize tire image denoising.The effectiveness of tire image denoising methods is verified through experiments,and the Peak Signal to Noise Ratio(PSNR)performance of different methods is analyzed.
作者
刘洪彬
褚雪艺
Liu Hongbin;Chu Xueyi(School of Information and Electrical Engineering,Shandong Jianzhu University,Jinan,Shandong 250101,China)
出处
《计算机时代》
2023年第5期11-14,共4页
Computer Era
基金
山东省自然科学基金(ZR2021QF077)
山东建筑大学博士科研基金(XNBS20081)。
关键词
轮胎图像
图像去噪
均值滤波
中值滤波
小波变换
tire image
image denoising
mean filtering
median filtering
wavelet transform
