| 宋佳声,李浩天.一种在尺度空间下基于边缘的角点目标检测方法[J].电子测量与仪器学报,2024,38(2):58-66 |
| 一种在尺度空间下基于边缘的角点目标检测方法 |
| Edge-based target corner point detection method in scale space |
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| DOI： |
| 中文关键词: 角点检测 尺度变换 边缘算子 数据拟合 |
| 英文关键词:corner detection scale transform edge determination operator data fitting |
| 基金项目:福建省自然科学基金（2020J01686，2021J01848）项目资助 |
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| Author | Institution |
| Song Jiasheng | 1.School of Marine Engineering, Jimei University, Xiamen 361021, China; 2.Fujian Provincial Key
Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, China |
| Li Haotian | 1.School of Marine Engineering, Jimei University, Xiamen 361021, China; 2.Fujian Provincial Key
Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, China |
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| 摘要点击次数: 396 |
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| 中文摘要: |
| 图像中的目标角点位置是实现很多计算机视觉任务的关键数据。为了克服传统检测算法产生的数据冗余问题,提出了一种在尺度空间下基于边缘的角点目标检测方法。首先,构建一个分组多层的尺度空间,将原图投影到其中后得到多个平滑图像。与此同时,采用定义的边缘算子检出平滑图像中所有边缘而得到多个按序存放的像素点集,当点集数量稳定时停止更大尺度的变换。然后,在当前尺度下,计算点集中各元素反映其角点强度的特征值。根据这些特征值变化规律检出角点的支撑集区间,并在此区间中采用高斯拟合函数确定最终的目标角点。实验表明,该方法能够检出特征显著的目标角点及其角度,其中合成图像精度在像素级,应用案例中的平均误差与图幅比约为1.5/100。 |
| 英文摘要: |
| The location of target corner points in an image is the key data for implementing many computer vision tasks. In order to overcome the data redundancy problem arising from traditional detection algorithms, an edge-based corner point target detection method in the scale space is proposed. First, a grouped multilayer scale space is constructed, and multiple smoothed images are obtained after projecting the original image into it. At the same time, the defined edge operator is applied to detect all edges in the smoothed image to obtain multiple sets of pixel points stored in order, and the transformation to larger scales is stopped when the number of point sets is stable. Then, at the current scale, the indicator values of each element in the point set reflecting its corner intensity are calculated. The support set interval of corner points is detected according to the variation pattern of these indicator values, and the final target corner points are determined in this interval using a Gaussian fitting function. Experiments show that the method is able to detect the target corner points with significant features and their angles, where the accuracy of the synthesized images is at the pixel level and the average error to figure ratio in the application case is about 1.5/100. |
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