CAJ | 학술논문

通过对图像处理中噪声过滤现状的研究，特别是针对椒盐噪声的处理，介绍了一种自适应双阈值模糊中值滤波算法。研究了该算法的整体流程，主要步骤是用滤波窗口处理图像时，计算出滤波窗口中像素的最小值、最大值、中值与平均值。把当前像素值与中值的差值作为模糊系统的输入，并设定两个阈值，小于最小阈值表明该点不是噪声点，介于两阈值间认为是轻度污染，然后利用隶属函数计算加权系数，代入去模函数去掉模糊。当大于最大阈值时，该点已严重污染，根据该点邻域已处理的像素点求均值。实验证实了该算法比其他去噪算法的效果好。
통과대도상처리중조성과려현상적연구，특별시침대초염조성적처리，개소료일충자괄응쌍역치모호중치려파산법。연구료해산법적정체류정，주요보취시용려파창구처리도상시，계산출려파창구중상소적최소치、최대치、중치여평균치。파당전상소치여중치적차치작위모호계통적수입，병설정량개역치，소우최소역치표명해점불시조성점，개우량역치간인위시경도오염，연후이용대속함수계산가권계수，대입거모함수거도모호。당대우최대역치시，해점이엄중오염，근거해점린역이처리적상소점구균치。실험증실료해산법비기타거조산법적효과호。
Based on the research status of noise ifltering in image processing, especially salt and pepper noise processing, an adaptive double threshold fuzzy median ifltering algorithm was introduced and its overall lfow was analyzed. Its main processing steps are presented below. Image is processed by ifltering window to calculate the minimum, maximum, median and mean values of the pixels in the ifltering window. The difference between the current pixel value and the median value is used as the input of fuzzy system, and then two thresholds are set. If the difference is less than the minimum threshold, the point is not a noise point. If the difference is between two thresholds, it is slightly polluted. Membership function is used to calculate weighted coefficients, and then these coefficients are plugged to eliminate blur mode function. If the difference is greater than the maximum threshold, the point is seriously polluted and a mean value is calculated in the light of the processed pixels in its neighborhood. Experiments conifrmed the presented algorithm has better performance than other de-noising algorithms.