基于小波变换和数学形态学的激光成像雷达图像边缘检测

Edge Detection of Laser Imaging Radar Based on Wavelet Transform and Mathematical Morphology

边缘检测是激光雷达图像处理的重要组成部分,其性能直接影响雷达系统的精度和性能。针对激光雷达图像的特点,提出了一种基于小波变换和数学形态学方法结合算法对激光成像雷达图像进行边缘检测。首先从小波理论出发,从小波多尺度分解入手,对图像分解的弱边缘信息适当加强,然后对加强边缘信息的的图像从灰度形态学的角度出发,对图像进行腐蚀或膨胀,进行边缘提取,而后得到其边缘。用Matlab进行仿真实验,结果表明:结合算法边缘算子对激光雷达图像检测效果优于仅用小波或仅用形态学进行边缘提取的效果;在边缘精度、强弱边缘提取和噪声抑制方面,证明所提方法是有效的。

Edge detection plays an important role in laser ladar image processing. Its capability has direct influence on precision and performance of ladar imaging system, Considering the features of laser radar image, this paper raises a method based on wavelet transform and mathematical morphology to process the laser radar image. Firstly, using the wavelet theory and the multi-scale wavelet decomposition strengthens the weak parts of the image edge appropriately. Then, we do edge deteetion from the perspective of gray morphological and get the edge information. Matlab is used to perform the experimental simulation. The results show that adding edge detection operators in laser radar image processing gets better effects than only using wavelet or morphology. The theory proposed in the paper has great effects in edge accuracy, strong and weak edge extraction and noise suppression.