微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2009年
23期
76-78
,共3页
数学形态学%边缘检测%SUSAN算子%图像处理
數學形態學%邊緣檢測%SUSAN算子%圖像處理
수학형태학%변연검측%SUSAN산자%도상처리
mathematical morphology%edge detection%SUSAN operator%image processing
提出基于数学形态学和SUSAN算子的灰度图像边缘提取方法,同时对SUSAN算子进行了改进.该方法利用数学形态学开运算估计背景,将原始图像与背景进行几何运算,在处理后的图像上运用改进的SUSAN算子提取边缘,并进行了仿真实验.实验结果表明,该方法不仅具有较好的去噪和边缘提取能力,而且算法简单易于实现,运算速度快.
提齣基于數學形態學和SUSAN算子的灰度圖像邊緣提取方法,同時對SUSAN算子進行瞭改進.該方法利用數學形態學開運算估計揹景,將原始圖像與揹景進行幾何運算,在處理後的圖像上運用改進的SUSAN算子提取邊緣,併進行瞭倣真實驗.實驗結果錶明,該方法不僅具有較好的去譟和邊緣提取能力,而且算法簡單易于實現,運算速度快.
제출기우수학형태학화SUSAN산자적회도도상변연제취방법,동시대SUSAN산자진행료개진.해방법이용수학형태학개운산고계배경,장원시도상여배경진행궤하운산,재처리후적도상상운용개진적SUSAN산자제취변연,병진행료방진실험.실험결과표명,해방법불부구유교호적거조화변연제취능력,이차산법간단역우실현,운산속도쾌.
Edge-detecting algorithm is based on mathematical morphology and gray SUSAN operator.And SUSAN operator is improved.This method is the use of mathematical morphology open computing the estimated background,the original image and the background of geometric computing in image processing to improve the use of the SUSAN edge extraction operator.And a simulation experiment was carried out.The experimental results show that the method not only has a better ability to de-noising and edge detection,but also algorithm is simple and easy to implement,faster computing.