微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2014年
5期
53-55
,共3页
高斯噪声%噪声图像%边缘检测%矢量相关
高斯譟聲%譟聲圖像%邊緣檢測%矢量相關
고사조성%조성도상%변연검측%시량상관
Gauss noise%noisy image%edge detection%vector correlation
对图像中常见的高斯噪声特性进行了分析，对含有较强高斯噪声的数字图像的边缘检测方法进行了研究。分析了边缘的方向性相关特征和连续性相关特征，设计了图像特征矢量图，检测图像特征矢量相关的相似度，提取出抗噪声的图像边缘检测方法。仿真验证表明，对于含有较强高斯噪声的图像，本方法能够有效抑制噪声，而且能够提取出准确清晰的边缘。本算法在噪声图像中能很好地克服普通算子的噪声问题，而且算法简单，计算量较少。
對圖像中常見的高斯譟聲特性進行瞭分析，對含有較彊高斯譟聲的數字圖像的邊緣檢測方法進行瞭研究。分析瞭邊緣的方嚮性相關特徵和連續性相關特徵，設計瞭圖像特徵矢量圖，檢測圖像特徵矢量相關的相似度，提取齣抗譟聲的圖像邊緣檢測方法。倣真驗證錶明，對于含有較彊高斯譟聲的圖像，本方法能夠有效抑製譟聲，而且能夠提取齣準確清晰的邊緣。本算法在譟聲圖像中能很好地剋服普通算子的譟聲問題，而且算法簡單，計算量較少。
대도상중상견적고사조성특성진행료분석，대함유교강고사조성적수자도상적변연검측방법진행료연구。분석료변연적방향성상관특정화련속성상관특정，설계료도상특정시량도，검측도상특정시량상관적상사도，제취출항조성적도상변연검측방법。방진험증표명，대우함유교강고사조성적도상，본방법능구유효억제조성，이차능구제취출준학청석적변연。본산법재조성도상중능흔호지극복보통산자적조성문제，이차산법간단，계산량교소。
This article analyses the Gauss noise characteristics of common image , studies the edge detection method based on digital image which contains a strong Gauss noise. It analyses directional correlation feature edges and continuity characteristics , design the image feature vector, detects similarity of image feature vector related, extract image edge detection method of anti-noise. The simulation results show that, for images with a strong Gauss noise, the proposed method can effectively suppress the noise, and can extract accurate and clear edge. This method can well overcome the noise problem of common operators in noise image , but also has a simple algorithm with less calculation.
