图像噪点数据的定位与优化  

Location and Optimization of Image Noise Data

作　　者：郭伟 方振国[1] GUO Wei;FANG Zhenguo(HuaiBei Normal University Physics and Electronic Information College,Huaibei 235000,China)

机构地区：[1]淮北师范大学物理与电子信息学院,安徽淮北235000

出　　处：《牡丹江师范学院学报（自然科学版）》2023年第1期19-22,共4页Journal of Mudanjiang Normal University：Natural Sciences Edition

基　　金：教育部产学研项目(2019ITA01041);安徽省质量工程项目(2020jyxm1668);提升专业服务十大新兴产业项目(2021fwxxcy039);安徽省基层教研室示范项目(2020SJSFJXZZ350)。

摘　　要：提出一种噪点数据定位及优化滤噪的方法.方法以图像数据存储的行、列位置为X-Y平面,以该位置的灰度值为Z轴,构建三维数据位置与灰度值坐标关系图;将三维坐标分别投影到X-Z平面与Y-Z平面进行噪点数据定位;以定位的坐标边界为有效邻域,设定矩形滑窗进行均衡化处理.实验结果表明,该方法不仅有效的滤除了噪点,还很好地保留了原有图像的细节,实现了噪点数据的定位与优化.A method of locating noise data and optimizing noise filtering is proposed.Methods Taking the row and column positions of image data storage as X-Y plane and the gray value of this position as Z axis,a three-dimensional coordinate graph of data position and gray value was constructed.The three-dimensional coordinates were projected to the X-Z plane and the Y-Z plane respectively to locate the noise data.Taking the coordinate boundary of positioning as the effective neighborhood,the rectangular sliding window is set for equalization.The experimental results show that this method can not only effectively remove the noise,but also retain the details of the original image,and realize the localization and optimization of noise data.

关 键 词：位置与灰度 数据定位 邻域均衡 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]