CAJ | 학술논문

为了减少边缘轮廓上微小变化和边缘噪声对检测结果的影响，提高检测准确率，提出了一种利用边缘轮廓上多尺度自相关矩阵的角点检测算法。该算法首先利用边缘检测器提取图像的轮廓，同时利用不同尺度的高斯核函数平滑图像，对于轮廓曲线上的每一个像素，利用微分算子获得不同尺度下灰度变化信息来构建自相关矩阵；最后将不同尺度下自相关矩阵的归一化特征值的乘积作为新的角点测度。如果该角点测度值既大于预设阈值，又是局部窗口内的极大值，就判定是角点。仿真结果证实所提算法可以更准确地检测图像中的角点且具有更低的错检概率。
위료감소변연륜곽상미소변화화변연조성대검측결과적영향，제고검측준학솔，제출료일충이용변연륜곽상다척도자상관구진적각점검측산법。해산법수선이용변연검측기제취도상적륜곽，동시이용불동척도적고사핵함수평활도상，대우륜곽곡선상적매일개상소，이용미분산자획득불동척도하회도변화신식래구건자상관구진；최후장불동척도하자상관구진적귀일화특정치적승적작위신적각점측도。여과해각점측도치기대우예설역치，우시국부창구내적겁대치，취판정시각점。방진결과증실소제산법가이경준학지검측도상중적각점차구유경저적착검개솔。
To reduce the influence of edge tiny changes and noise on the corner detection and improve the detection accuracy,a new corner detection algorithm using multi-scale autocorrelation matrix on edge con-tours is proposed.Firstly,the edge contour of an image is extracted by an edge detector.Meanwhile,the image is smoothed by the Gaussian kernel function with different scales.For each pixel on the contour,the variation information of gray magnitude on certain scales can be obtained by the differential operator and will be used to construct the autocorrelation matrix.Finally,the normalized eigenvalue of autocorrelation matri-ces on different scales is defined as the new corner measure.An edge pixel is specified as a corner when its measure is not only above the preset threshold but also the local maximum in a small region.Experimental results show that the proposed algorithm achieves better detection accuracy and fewer false corners.