基于冲突再分配DSmT的多尺度融合边缘检测算法

摘要

由于实际景象地物特征复杂,单一尺度边缘检测算子提取的边缘与噪声点测度差异小,因此将导致细小地物与噪声相互掺杂,边缘提取不准确的现象.针对此问题,提出了一种基于冲突再分配DSmT的多尺度融合边缘检测算法.首先提取图像多尺度边缘测度,接着提出双向指数映射基本置信指派构造方法构造多尺度边缘测度基本置信指派,然后采用冲突再分配DSmT组合规则对多尺度边缘置信指派进行融合,最后根据融合后的边缘置信指派图通过双阈值法确定边缘像素.通过对可见光和合成孔径雷达(SAR)图像的仿真实验表明,该算法相比单一尺度的Canny算子在边缘提取过程减小了误检和漏检边缘点数目,在抑制噪声的同时,大量保留了景象细节信息.%Single-scale edge detection operator itself is sensitive to noise, which leads to little difference between the real and false edge, so the edge detected by it is not accurate, because ground object character is complex and thin ground object is intermingled with noise in real environment. Therefore, a new multi-scale fused edge detection algorithm based on conflict redistribution DSmT was proposed in this paper. First, multi-scale edge measure was extracted and then evidence theory was brought in. The basic belief assignment of multi-scale edge measure was constructed by a new method of bidirectional exponent and then fused by conflict redistribution DSmT combination rule. At last, edge points were extracted by multiple thresholds. The simulation with both optical and Synthetic Aperture Radar (SAR) images shows that the edge detection method of this paper suppresses noise effectively, while preserving rich details.