Reserch On Denoising And Edge Detection Of Range Image LIDAR

The imaging laser radar is a new kind of radar which combined laser technique and radar technique. The automatic recognition of the imaging laser radar used the technology of image segmentation, feature extraction and pattern list to deal with the image which has been captured by it to realize the automatic target recognition. Image segmentation is a very important step in image process. It has great effect to the feature extraction, marching and recognition.The main work of this paper is:1,Introduce the background of the research on imaging laser radar to recognition target automatically and describe the system of the imaging laser radar. Summary the approach of the range gated, noise reduction and segmentation in the imaging laser radar at home and abroad.2,After analyzing the system of the typical imaging laser radar, use the technology of noise reduction range gated to the 3-D imaging laser radar and use the algorithm of binarizing to the distance 3-D image.3,This paper proposed a new method to reduce the noise by contourlet transform. By experiment, it shows that the new algorithm can achieve better effect than traditional ways and protect the target's edge minutiae in the image.4,After analyzing the imaging characteristics of laser radar image, a multiscale edge detection algorithm based on Laplacian Pyramid was proposed. This algorithm can detect edges of images reliably and effectively.