计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
2期
80-85
,共6页
小波变换%图像处理%边缘检测%含噪图像%梯度%阈值方法
小波變換%圖像處理%邊緣檢測%含譟圖像%梯度%閾值方法
소파변환%도상처리%변연검측%함조도상%제도%역치방법
wavelet transform%image processing%edge detection%noise image%gradient%threshold method
针对含噪图像边缘检测时出现的噪声去除不完全和边缘定位不精确的问题，本文提出一种改进的图像边缘检测算法，该算法首先根据范数性质改进对图像进行小波变换求模极大值边缘检测时的梯度模算法，然后对得到的边缘图像利用本文所提出的阈值算法处理，最后连接图像，得到最终的图像边缘。计算机仿真结果表明，对于含噪图像，改进的算法能得到较为理想的图像边缘信息，实现了去噪和目标边缘精确定位的双向平衡，与传统的检测算法相比，检测效果有一定的提高。
針對含譟圖像邊緣檢測時齣現的譟聲去除不完全和邊緣定位不精確的問題，本文提齣一種改進的圖像邊緣檢測算法，該算法首先根據範數性質改進對圖像進行小波變換求模極大值邊緣檢測時的梯度模算法，然後對得到的邊緣圖像利用本文所提齣的閾值算法處理，最後連接圖像，得到最終的圖像邊緣。計算機倣真結果錶明，對于含譟圖像，改進的算法能得到較為理想的圖像邊緣信息，實現瞭去譟和目標邊緣精確定位的雙嚮平衡，與傳統的檢測算法相比，檢測效果有一定的提高。
침대함조도상변연검측시출현적조성거제불완전화변연정위불정학적문제，본문제출일충개진적도상변연검측산법，해산법수선근거범수성질개진대도상진행소파변환구모겁대치변연검측시적제도모산법，연후대득도적변연도상이용본문소제출적역치산법처리，최후련접도상，득도최종적도상변연。계산궤방진결과표명，대우함조도상，개진적산법능득도교위이상적도상변연신식，실현료거조화목표변연정학정위적쌍향평형，여전통적검측산법상비，검측효과유일정적제고。
Focusing on the problem of noise removal is not complete and edge position is not accurate, this paper presents an im-proved algorithm for detecting noisy image edge.The algorithm first improved the gradient algorithm at the time of detecting the edge used by the wavelet transform modulus maxima according to the norm’ s nature.Then we used the improved threshold meth-od which was proposed in this paper to the edge image, and after connecting the image, it obtained the final image edge.Through computer simulation to validate the algorithm, experimental results show that the algorithm can get the ideal edge image informa-tion in noise image, and achieve the bidirectional balance of de-noising and edge precise positioning.The detection algorithm is superior to the traditional method, and it also improves in the aspect of detection effect as well.
