A comprehensive morphological hybrid filter considering symmetry maintained

作者：Lu Yuefeng; Lu Shaofeng^*; Han Baomin; Wu Jianhua; Chang XiZhi; Feng Chen; Liu Shuo

来源：International Journal of Smart Home, 2016, 10(10): 239-248.

DOI：10.14257/ijsh.2016.10.10.22

• Filtering performance
• Generalized morphological filter
• Gray value
• Hybrid filters
• Image details
• Peak signal to noise ratio
• PSNR
• Structure elements

In this paper, we present a comprehensive morphological hybrid filter considering symmetry maintained, based on composited the morphological hybrid filters and the generalized morphological hybrid filters. The filter improved filtering performance from two aspects: morphological operate mode and optimization of structure elements. It can eliminate the gray values deviation of the images and have the double advantage of the two-path dual filters. Simulation results show that the new hybrid filter can effectively remove the noise in the image while maintaining the image details. Compared with the other morphological hybrid filters, the images filtered by the new filter may have a higher peak signal-to-noise ratio (PSNR) and a smaller mean square error (MSE).

• 出版日期2016
• 单位山东大学; 东北大学; Northeastern university