Median Morphological Filter Design Based on the PSO Algorithm
Design of morphological filter greatly depends on morphological operations and structuring elements selection. A filter design method used median closing morphological operation is proposed to enhance the image denoising ability and the PSO algorithm is introduced for structural elements selecting. The method takes the peak value signal-tonoise ratio(PSNR) as the cost function and may adaptively build unit structuring elements with zero square matrix. Experimental results show the proposed method can effectively remove impulse noise from a noisy image, especially from a low signal-to-noise ratio (SNR) image;the noise reduction performance has obvious advantages than the other.
image denoising morphological filter particle swarm optimization (PSO) structuring element (SE) peak value signal-to-noise ratio (PSNR)
Zhu youlian Huang cheng
College of Electronic Information Engineering, Jiangsu Teachers University of Technology,Changzhou 2 College of Electronic Information Engineering,Jiangsu Teachers University of Technology,Changzhou 21
国际会议
三亚
英文
181-184
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）