Canny Edge Detection Based on Radar Image Interpolation Algorithm

Qingyun Qin, Jianping Jiang
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引用次数: 0

Abstract

Due to the single image information and color of the radar scanning image, sawing and fuzzy phenomenon may appear when using the FEOI (Fast Edge-Oriented Interpolation) algorithm to enlarge the display, and it is difficult to obtain a satisfactory visual effect. Therefore, combining with Canny operator to detect the edge of radar scanning image, an improved radar image interpolation algorithm is proposed. Finally, experiments are conducted and compared with the nearest neighbor interpolation algorithm, bilinear interpolation algorithm and FEOI algorithm. The experimental results show that the proposed algorithm is superior to the above algorithms and can effectively reduce aliasing and blurring and obtain the interpolated image with good visual effect. It has great application value for the image interpolation which requires higher real-time.
基于雷达图像插值算法的边缘检测
由于雷达扫描图像的图像信息和颜色单一,使用FEOI (Fast Edge-Oriented Interpolation)算法放大显示时可能出现锯切和模糊现象,难以获得满意的视觉效果。为此,结合Canny算子对雷达扫描图像进行边缘检测,提出了一种改进的雷达图像插值算法。最后进行了实验,并与最近邻插值算法、双线性插值算法和FEOI算法进行了比较。实验结果表明,该算法优于上述算法,能有效地减少混叠和模糊现象,得到视觉效果良好的插值图像。它对实时性要求较高的图像插值具有很大的应用价值。
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