河南科学
河南科學
하남과학
HENAN SCIENCE
2013年
12期
2182-2185
,共4页
数学形态学%边缘检测%遥感图像%拉普拉斯高斯算子
數學形態學%邊緣檢測%遙感圖像%拉普拉斯高斯算子
수학형태학%변연검측%요감도상%랍보랍사고사산자
mathematical morphology%edge detection%remote sensing image%Laplacian of Gaussian(LOG) Operator
提出了一种结合数学形态学和LOG算子的遥感图像边缘检测算法,该算法可有效地解决在混合噪声及复杂细节环境下的遥感图像地物边缘信息的检测。该算法首先利用中值滤波消除原始图像的非高斯噪声,并采用数学形态学进一步消噪及增强地物间的对比度;然后采用LOG(Laplacian of Gassian)算子对处理后遥感图像进行边缘信息检测。实验结果表明,提出的方法能有效地提取遥感图像地物边缘信息。
提齣瞭一種結閤數學形態學和LOG算子的遙感圖像邊緣檢測算法,該算法可有效地解決在混閤譟聲及複雜細節環境下的遙感圖像地物邊緣信息的檢測。該算法首先利用中值濾波消除原始圖像的非高斯譟聲,併採用數學形態學進一步消譟及增彊地物間的對比度;然後採用LOG(Laplacian of Gassian)算子對處理後遙感圖像進行邊緣信息檢測。實驗結果錶明,提齣的方法能有效地提取遙感圖像地物邊緣信息。
제출료일충결합수학형태학화LOG산자적요감도상변연검측산법,해산법가유효지해결재혼합조성급복잡세절배경하적요감도상지물변연신식적검측。해산법수선이용중치려파소제원시도상적비고사조성,병채용수학형태학진일보소조급증강지물간적대비도;연후채용LOG(Laplacian of Gassian)산자대처리후요감도상진행변연신식검측。실험결과표명,제출적방법능유효지제취요감도상지물변연신식。
A combination of mathematical morphology and LOG operator for remote sensing image edge detection is proposed in this paper. It is effective for detecting edge information of remote sensing image under the environment of mixed noise and intricate detail. In the algorithm,median filter is first used for eliminating non-Gaussian noise of original image,and mathematical morphology is further used to eliminate noise and enhance contrast between surface features. Then,LOG(Laplacian of Gaussian) is used to detect edge information of remote sensing processed. Experiment results show that method we proposed can extract surface feature edge information of remote sensing image effectively.