摘要
本文在阐述形态学重建滤波器基本概念的基础上,给出了形态学重建滤波器的两个应用实例,一个是将二值形态学开(闭)重建滤波器应用于运动区域的检测中,用来对运动区域进行后处理;另一个是将交变序列重建滤波器应用于图像分割,对灰度图像进行简化。
In this paper, we introduce the basic concept of morphological filter by reconstruction. Based on this, two applications of morphological filter by reconstruction in our study will be addressed. First, we apply binary open (close) by reconstruction to moving object Detection as the post-processing filter. Second, we apply alternating sequential filter by reconstruction to gray-scale image segmentation as the image simplification filter.
出处
《通信学报》
EI
CSCD
北大核心
2002年第1期116-121,共6页
Journal on Communications
关键词
数学形态学
重建滤波器
图像简化
形态学图像分割
mathematical morphology
morphological filter by reconstruction
image simplification
morphological image segmentation
