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为准确地提取出SAR图像中溢油区域边缘轮廓信息,提出一种融合分水岭及canny算子的SAR图像边缘检测算法。该算法首先使用形态学重建技术对前景图象进行标记,并进行开关操作,去除边缘无关信息,然后对前景进行区分操作。利用分水岭算法及canny算子较为精确地提取出溢油区域边缘轮廓信息并用MATALAB仿真实验,结果表明,与经典的边缘检测方法相比,该方法在精确定位图像边缘的同时能更精确、更完整地检测出目标的边缘特征。
In order to accurately extract the edge contour information of spill area in SAR images, a SAR image edge detection algorithm based on watershed and canny operator is proposed. The algorithm first uses morphological reconstruction techniques to mark the foreground image, performs the switching operation, removes the edge-unrelated information, and then distinguishes the foreground. The watershed algorithm and canny operator are used to extract the edge contour of oil spill area more accurately and to simulate the experiment with MATALAB. The results show that compared with the classical edge detection method, the method can accurately locate the edge of the image and can be more accurate and complete Detects the target’s edge features.