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| 1 | 改进后圆心定位算法显示文摘圆心定位是摄影测量学中常用的关键技术,圆形人工标志的检测和定位算法有中值法、质心法等。由于中值法和质心法容易受到噪声影响,会对定位圆心带来干扰,在一些领域应用中受到限制。基于此,提出一种改进的自适应阈值质心法圆心定位算法,统计圆形标志的像素数,排除由噪声影响造成的非圆形目标的干扰,同时记下边缘点位置。利用计算出的圆心位置和统计的边缘位置得到圆形目标的大小。实验表明,该算法能够成功定位圆心和半径并排除噪声的干扰。 | 王小攀 郝向阳 刘松林 朱永丰 | 2016 | 测绘工程2016，25，4： | 7 |
| 2 | A Unique Relative Entropy-Based Symmetrical Co-occurrence Matrix Thresholding with Statistical Spatial Information显示文摘Thresholding based on gray-gray cooccurrence matrix is a local thresholding technique. Relative entropy is usually used to gauge the relative difference of uncertainties in two physical systems, and the relative entropy-based asymmetrical co-occurrence matrix thresholding has been applied successfully. We propose to construct symmetrical co-occurrence matrix with the statistical spatial information from the mean values in object and background regions of an image. In this way, a unique relative entropy-based symmetrical co-occurrence matrix thresholding method is derived. Computer-simulation results demonstrated the higher adaptability and efficiency of the proposed method, as compared with square distance based symmetrical co-ocurrence matrix thresholding, Otsu's and relative entropy methods. | FAN Jiulun ZHANG Hong | 2015 | Chinese Journal of Electronics2015，24，3： | 1 |
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