小波变换在目标图像多尺度边缘检测中的应用  

WAVELET TRANSFORM AND ITS APPLICATION INMULTISCALE EDGE DETECTION OF A TARGET IMAGE

作　　者：洪保明[1] 郑链[1] 柯有安[1] 祝奇[1] 刘传礼[1] 高鹏[1] 

机构地区：[1]北京理工大学,北京100081

出　　处：《兵工学报》1996年第3期215-224,共10页Acta Armamentarii

摘　　要：介绍了小波变换及其应用于图像边缘多尺度检测的原理，并给出了构造小波函数的方法和相对应的滤波器系数。用一幅图像进行的仿真实验表明，基于小波变换进行图像的多尺度边缘检测相对于传统的Roberts算子、Sobel算子和Laplacian算子检测图像边缘是一种较好的方法，而且对随机噪声也有较强的鲁棒性。为此进一步提出从多个目标中快速跟踪和识别指定目标的思想。The paper describes wavelet transform and the principle of its application in multiscale edge detection.The paper aslo provides the method of construction of the wavelet function.Simulation tests show that multiscale edge detection of images using wavelet transform is better when compared with the conventional Roberts operator,Sobel operator and the Laplacian operator,and that it exhibits a better robustness.It is further pointed out that the idea is well applicable in the fast recognition of targets.

关 键 词：小波变换 图像处理 边缘检测 目标识别 滤波器 

分 类 号：TN713[电子电信—电路与系统]