摘要
距离图像是指由波束扫描和脉冲反射测距相结合形成的图像,它与常规的光学图像相比具有一些不同的统计特性.提出一种用于处理这种距离图像的分层滤波处理算法,它利用了距离图像中存在多目标时统计直方图具有多峰值的特点进行分层分割、分别滤波,再合成重建新图像.与常规的滤波处理方法相比,它能更加有效地滤除噪声干扰,获得清晰的目标和背景图像.
The distance image means the one formed by distance measuring based on pulse rejection combined with beam scanning, whose statistical property is usually different from that of the conventional optical image. This paper proposes a hierarchical filtering algorithm for processing distance images, which can, compared with the conventional methods, remove noise more effectively and obtain images with clearer objects and background. It segments an image by taking advantage of the static characteristic of a distance image and filtering respectively, and then synthesizes to reconstitute a new image. Experimental results suggest that the algorithm behaves well and is suitable for DSP implementation in real time.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2003年第1期136-140,共5页
Journal of Xidian University
