基于粗糙集理论的物体与相似灯光的辨识  

Rough Sets Theory based Distinguish Between Objects and Similar Light

作　　者：李继良[1] 朱维彰[1] 

机构地区：[1]杭州电子工业学院通信工程分院,浙江杭州310037

出　　处：《杭州电子工业学院学报》2001年第6期13-18,共6页Journal of Hangzhou Institute of Electronic Engineering

摘　　要：在许多实际的问题中 ,灯光是必须除去的背景噪声。传统的去除图像中背景噪声的方法都是以物体和背景有明显的差别、物体表面光滑为前提的。而灯光往往与物体的差别不是很明显 ,传统方法对它不再适用。本文提出一种基于粗糙集理论的辨识方法 ,利用了动态和静态两类信息 ,可以在不满足上述两个假设的情况下正确地将物体和与物体极为相似灯光分开 ,弥补了传统方法的不足。In many practical circumstances, light must be got rid of as background noise.Traditional methods for getting rid of background noise from image are all premised on :Objects are obviously different from background and objects have smooth surface.However,lights are not very different from objects usually,so traditional methods are never fit for getting rid of them. A rough sets based new recognition method, using dynamic and static information, is presented in this paper, which can distinguish objects and similar light correctly in condition that the traditional premises aren't satisfied, and make up the defects of traditional methods.

关 键 词：粗糙集 等价关系 图像辨识 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]