微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2012年
8期
38-40
,共3页
非下采样Contourlet变换%数学形态学%边缘检测%多尺度分解%融合规则
非下採樣Contourlet變換%數學形態學%邊緣檢測%多呎度分解%融閤規則
비하채양Contourlet변환%수학형태학%변연검측%다척도분해%융합규칙
NSCT%mathematical morphology%edge detection%multi-scale decomposition%fusion rule
在复杂工件的边缘检测过程中,噪声干扰和细节丢失会使检测结果产生较大的误差。针对这一问题,提出了将非下采样Contourlet变换和数学形态学相结合的边缘检测算法。首先对原始图像进行非下采样Contourlet变换,然后对得到的高低子频图像采用不同的方法进行边缘提取,最后通过合理的融合规则得到图像的边缘图像。仿真实验表明,该算法对图像边缘细节的提取比其他算法更加丰富,并具有较好的连续性、抗噪性和鲁棒性。
在複雜工件的邊緣檢測過程中,譟聲榦擾和細節丟失會使檢測結果產生較大的誤差。針對這一問題,提齣瞭將非下採樣Contourlet變換和數學形態學相結閤的邊緣檢測算法。首先對原始圖像進行非下採樣Contourlet變換,然後對得到的高低子頻圖像採用不同的方法進行邊緣提取,最後通過閤理的融閤規則得到圖像的邊緣圖像。倣真實驗錶明,該算法對圖像邊緣細節的提取比其他算法更加豐富,併具有較好的連續性、抗譟性和魯棒性。
재복잡공건적변연검측과정중,조성간우화세절주실회사검측결과산생교대적오차。침대저일문제,제출료장비하채양Contourlet변환화수학형태학상결합적변연검측산법。수선대원시도상진행비하채양Contourlet변환,연후대득도적고저자빈도상채용불동적방법진행변연제취,최후통과합리적융합규칙득도도상적변연도상。방진실험표명,해산법대도상변연세절적제취비기타산법경가봉부,병구유교호적련속성、항조성화로봉성。
In the process of complicated workpiece edge detection,the interruption of noise and the lost of details will cause dramatic error in the detection result.To solve this problem,a novel edge detection algorithm by combining non-sub-sampled Contourlet transform（NSCT） and mathematical morphology is proposed in this paper.Firstly,multi-scale decomposition of the image is performed with NSCT.Then,the edge detection of low-frequency sub-image and high-frequency sub-image are obtained.Finally,the image edge is obtained by reasonable fusion rule.Simulation results show that this algorithm can extract more image edge details than other algorithm and it also has good continuity,anti-noise performance and robustness.
