现代计算机：上半月版
現代計算機：上半月版
현대계산궤：상반월판
Modern Computer
2011年
10期
38-41
,共4页
小波变换%边缘检测%多结构元%图像融合
小波變換%邊緣檢測%多結構元%圖像融閤
소파변환%변연검측%다결구원%도상융합
Wavelet Transform%Edge Detection%Multi-Scale Elements%Image Fusion
针对传统图像边缘检测方法抗噪能力不足、边缘定位不精确等缺点,提出一种融合小波变换和数学形态学的图像边缘检测算法。先将图像进行小波分解,高频部分利用小波模极大值算法进行边缘检测,可以有效提取高频边缘;低频部分采用形态学多结构元算法进行边缘检测,能够检测出低频边缘;最后对两种方法得到的边缘图像进行融合。实验结果表明,该算法能有效抑制噪声,提高边缘精度并且定位准确。
針對傳統圖像邊緣檢測方法抗譟能力不足、邊緣定位不精確等缺點,提齣一種融閤小波變換和數學形態學的圖像邊緣檢測算法。先將圖像進行小波分解,高頻部分利用小波模極大值算法進行邊緣檢測,可以有效提取高頻邊緣;低頻部分採用形態學多結構元算法進行邊緣檢測,能夠檢測齣低頻邊緣;最後對兩種方法得到的邊緣圖像進行融閤。實驗結果錶明,該算法能有效抑製譟聲,提高邊緣精度併且定位準確。
침대전통도상변연검측방법항조능력불족、변연정위불정학등결점,제출일충융합소파변환화수학형태학적도상변연검측산법。선장도상진행소파분해,고빈부분이용소파모겁대치산법진행변연검측,가이유효제취고빈변연;저빈부분채용형태학다결구원산법진행변연검측,능구검측출저빈변연;최후대량충방법득도적변연도상진행융합。실험결과표명,해산법능유효억제조성,제고변연정도병차정위준학。
Considering the disadvantages in the traditional image edge detection methods,such as emergence of noises edges and inaccurate edge location,proposes a fusion edge detection algorithm based on the combination of wavelet transform with the mathematical morphology to solve the problems above.The image is divided by wavelets,and then the algorithm of the wavelet module maximum coefficients is applied to the high frequency part of the image,so noises can be suppressed effectively.The multi-elements mathematical morphology algorithm is applied to the low frequency part of the image,so weak edges can be detected with high quality.Finally,the two images mentioned above are fused.The result shows that the proposed algorithm can suppress noises efficiently,improve the accuracy of image edges and accurate location.
