摘要
针对复杂背景和多目标空中运动物体的定位和跟踪问题,研究了基于小波变换阈值去噪方法、数学形态学去噪方法与水平集方法结合的图像分割方法,提出了基于小波变换阈值去噪与水平集结合方法以及基于小波变换阈值去噪、数学形态学去噪与水平集结合方法的并行融合图像分割方法,对运动目标进行边缘检测。实验结果说明,基于小波变换、数学形态学与水平集方法结合的并行融合图像分割方法能够有效地提取目标物体的轮廓,抑制背景噪声。
To survey the localizing and tracking of aerial moving mulit-objects in complex background,the image segmentation methods of wavelet threshold de-noising method,mathematic morphology de-noising method and level set method are investigated, and a parallel fusion method of combination of two edge detection methods,the one is combination of wavelet with level set,the other is combing wavelet and mathematic morphology with level set,is proposed to detect the contour of moving objects.The experimental results show that parallel fusion combination method of wavelet,mathematic morphology and level set effectively extracts contour edging of objective and denoises background noise
出处
《计算机工程与应用》
CSCD
北大核心
2008年第16期160-162,共3页
Computer Engineering and Applications
基金
北航大学生科研训练计划项目(SRTP)(No.4303100)
国家大学生创新性实验计划项目
北航人才引进启动经费(No.203134)
关键词
图像分割
水平集
小波变换
数学形态学
边缘检测
image segmentation
level set
wavelet transform
mathematic morphology
edge detection
