摘要
有向滤波可使一些特殊方向的线性特征得到增强,传统的有向滤波结果往往会在这些方向出现分散的图像,使图像在揭示其线性特征上达不到预期的效果.为此,提出一种新的滤波方法,该方法采用一个神经系统调整来自不同方向的滤波结果,使其产生一个集成图像,该图像代表了在一个或多个方向的增强型的线性特征,综合实例也证明了组合神经系统和有向滤波对于线性特征增强的实用性.
Identifying linear information in some selective directions is required sometimes in image processing. Directional filters can be made in some specific directions so that the interested linear features in these directions are enhanced. Traditionally the results of directional filtering in these directions are presented in separate images, which is inefficient in revealing the relationships between linear features in these directions. In this paper, we propose a new approach that uses a neural system to coordinate all the results from directional filtering in several directions to produce an integrated image that presents the enhanced linear features in one or nore of these directions. The synthetic and real examples presented in this paper prove that the combination of neural system and directional filtering is useful for linear feature enhancement.
出处
《吉林建筑工程学院学报》
CAS
2007年第4期69-71,共3页
Journal of Jilin Architectural and Civil Engineering
关键词
有向滤波
神经系统
图像处理
线性增强
directional filtering
neural system
image processing
linear enhancement
