基于多結(jié)構(gòu)元廣義形態(tài)濾波的改進(jìn)算法

【摘要】為對(duì)采用相同結(jié)構(gòu)元的形態(tài)閉-開和形態(tài)開-閉這兩種濾波器進(jìn)行改進(jìn)，采用了不同結(jié)構(gòu)元的廣義形態(tài)閉-開和形態(tài)開-閉濾波器。在此基礎(chǔ)上，將一種新的結(jié)構(gòu)元運(yùn)用到廣義形態(tài)濾波中，提出了一種濾波新算法。理論分析和圖像處理仿真實(shí)驗(yàn)表明，該類濾波新算法既能有效地濾除噪聲，又可充分保留原圖像的細(xì)節(jié)信息。
關(guān) 鍵 詞 非線性濾波; 形態(tài)濾波; 廣義形態(tài)濾波; 混合噪聲

The close-opening or open-closing filter based on the morphological filter with the same size structuring element cannot remove all the positive or negative impulse noise effectively. To improve the performance of these two kinds of filter, the generalized close-opening and open-closing filter based on the morphological filter with the different size structuring element are put forward. Based on the generalized morphological filter, this paper suggests a kind of designing project of the filter that applies a new structuring element to the generalized morphological filter. The theory analysis and the simulation experiments of the image processing indicate that this kind of filter can not only remove noise effectively but also keep the details of the image sufficiently.