摘要
在传统均值滤波和中值滤波的基础上,结合聚类算法理论,采用硬聚类算法和模糊模型两种算法消除图像中的脉冲噪声。与传统的滤波算法和硬聚类模型去噪算法相比,基于模糊模型的去噪算法更好地提高了图像的清晰度和信噪比。
Based on the traditional mean filter and median filter, combining the theory of clustering algorithm, an image denoising algorithm is proposed to eliminate impulse noise in the image, using both theoretical model of fuzzy and clustering algorithms. Compared with the traditional filter algorithm and hard clustering denoising model algorithm, the denoising algorithm based on fuzzy model is better to improve image clarity and the signal to noise ratio.
出处
《电视技术》
北大核心
2011年第19期17-19,57,共4页
Video Engineering
基金
广东省科技计划项目(2009A010200006)
中国电子科技集团公司创新基金(JJ09010)
关键词
中值滤波
硬聚类模型
模糊模型
median filter
hard clustering model
fuzzy model
