基于掩码的改进滤波算法
An improved filtering algorithm based on masks
余志勇 1宁勇强1
作者信息
- 1. 江西理工大学能源与机械工程学院,江西 南昌 330013
- 折叠
摘要
工业机器人图像处理中的噪声去除是一个重要且具有挑战性的问题.传统的图像滤波算法在处理工业机器人图像中的噪声时存在局限性,无法同时处理不同类型和强度的噪声.基于此提出了一种基于掩码的工业机器人图像滤波技术,通过掩码分割和多种滤波算法的组合,能够有效地去除工业机器人图像中的混合噪声,并提高图像处理的准确性和稳定性.实验证明,该方法在去除椒盐噪声和高斯噪声方面取得了良好的效果,为工业机器人图像处理领域提供了一种可行的方案.
Abstract
Noise removal in industrial robot image processing is an important and challeng-ing task.Traditional image filtering algorithms have limitations in handling different types and in-tensities of noise in industrial robot images.In this paper,we propose a mask-base-d image filte-ring technique for industrial robot images.By using mask segmentation and a combination of multiple filtering algorithms,this technique effectively removes various t-ypes of noise in in-dustrial robot images and improves the accuracy and stability of image processing.Experimental results demonstrate that the proposed method achieves good perf-ormance in removing salt-and-pep-per noise and Gaussian noise,providing a viable solutio-n for industrial robot image processing.
关键词
工业机器人/图像处理/噪声去除/掩码/滤波算法Key words
Industrial robots/image processing/noise removal/masking/filtering algorithms引用本文复制引用
出版年
2024
NETL
NSTL
万方数据