CAJ | 학술논문

在线阵 CCD 检测系统中，图像的边缘检测是关键技术之一。传统阈值比较法容易受到随机噪声的干扰，为了减少这种干扰，提出了一种基于Sigmoidal函数最小二乘拟合的一维图像边缘检测方法。利用Sigmoidal函数对图像边缘区域内所有点的灰度信息进行最小二乘拟合，能够有效避免单个信号点上的噪声对测量结果的影响。对拟合函数一阶求导，并寻找其一阶导数最大值对应点，该点即为图像的边缘位置。实验分别采用阈值比较法和基于Sigmoidal函数最小二乘拟合法，对采集图像的边缘位置检测结果进行比较，实验结果表明，基于Sigmoidal函数拟合方法稳定性好，具有较高重复精度，能够有效抑制系统随机噪声的影响，具有较好的检测效果。
재선진 CCD 검측계통중，도상적변연검측시관건기술지일。전통역치비교법용역수도수궤조성적간우，위료감소저충간우，제출료일충기우Sigmoidal함수최소이승의합적일유도상변연검측방법。이용Sigmoidal함수대도상변연구역내소유점적회도신식진행최소이승의합，능구유효피면단개신호점상적조성대측량결과적영향。대의합함수일계구도，병심조기일계도수최대치대응점，해점즉위도상적변연위치。실험분별채용역치비교법화기우Sigmoidal함수최소이승의합법，대채집도상적변연위치검측결과진행비교，실험결과표명，기우Sigmoidal함수의합방법은정성호，구유교고중복정도，능구유효억제계통수궤조성적영향，구유교호적검측효과。
The edge detection of one-dimension image is the key component in linear CCD detection system. In order to reduce the effect of random noise in the traditional threshold comparison method, a new method is proposed based on the Sigmoidal function fitting. In this method, the Sigmoidal function is regarded as the fitting model of the image edge, the gray value of the image edge area is fitted to the model in the principle of least-squares. The location of the edge point in the image is obtained by calculating the maximum point of the ordinary derivative of the fitted function. An experiment is designed and the image edge point is detected with the threshold comparison method and the Sigmoidal function fitting method respectively. The experiment results show that the Sigmoidal function fitting method has the advantages of high repeat accuracy, high stability, and suppressing the influence of random noise.