CAJ | 학술논문

中值滤波是图像处理中常用的滤波方法,其优点是能有效滤除图像中的噪声像素,同时还有一定的保持图像边缘的效果;其缺点是滤波速度慢、图像边缘细节保持效果不理想.在分析中值滤波及其改进算法的基础上,提出了自适应投票快速中值滤波算法(AVMF).该算法一方面利用图像噪声的特征自适应筛选出需要滤除的噪声像素,另一方面利用滤波窗口的中值元素的特点以及滤波窗口移动的特性,采用完全不排序的投票法快速计算中值.使用Lena图像对AVMF算法进行测试实验,实验结果表明:AVMF同多种中值滤波改进算法比较,不仅能有效滤除噪声和较好地保留图像边缘细节,而且极大地提高了滤波处理速度.
중치려파시도상처리중상용적려파방법,기우점시능유효려제도상중적조성상소,동시환유일정적보지도상변연적효과;기결점시려파속도만、도상변연세절보지효과불이상.재분석중치려파급기개진산법적기출상,제출료자괄응투표쾌속중치려파산법(AVMF).해산법일방면이용도상조성적특정자괄응사선출수요려제적조성상소,령일방면이용려파창구적중치원소적특점이급려파창구이동적특성,채용완전불배서적투표법쾌속계산중치.사용Lena도상대AVMF산법진행측시실험,실험결과표명:AVMF동다충중치려파개진산법비교,불부능유효려제조성화교호지보류도상변연세절,이차겁대지제고료려파처리속도.
The median filtering is a common method used in image processing.Its advantages lie in that it can not only eliminate the noise pixels effectively,but also maintain the image edge to some extent.But the filtering speed and the effect of maintaining the image edge detail are not ideal.On the basis of analyzing the median filtering and its improved algorithms,Auto-adapted Voting fast Median Fihering(AVMF) is proposed in this paper.On one hand,this algorithm screens the noise pixels auto-adaptively using the characteristics of image noise;on the other hand,using the characteristics of median pixel and the window moving,adopting voting algorithm without sorting in whole,the median value is obtained quickly.The Lena image is used to carry on the test experiment for the AVMF algorithm,and the results show that compared with many other improved median filtering algorithms,using AVMF to image filtering,the noise is reduced effectively,the image edge and the detail are maintained well,moreover,the filtering is speedup greatly.