基于序位滤波的斑点形态滤波器  

Blob Form Filter Based on Percentile Filtering

作　　者：张艳勤[1] 童卫青[1] 何荣炜 

机构地区：[1]华东师范大学计算机科学与软件工程学院,上海200062

出　　处：《计算机系统应用》2017年第9期24-31,共8页Computer Systems & Applications

摘　　要：斑点是图像中的一种基本灰度形态,在图像分析中有着重要应用.本文提出了一种新的斑点形态滤波器(Blob Form Filter,以下简称BFF),用于图像中斑点形态的目标检测.BFF采用了序位滤波原理,所以它对噪声具有较好的鲁棒性.实验结果表明,BFF可以有效地从受噪声污染的二值图像、灰度图像中检测出指定大小的斑点区域,并且抽出的斑点形态非常接近于斑点原有的形态.Blob is a basic form in the gray-scale image, and has important application in image analysis. In this paper, a novel blob form filter（BFF） is proposed to detect the blob target in image. Based on the principle of percentile filtering,the BFF has strong robustness to noise. The experimental results show that BFF cannot only effectively detect the blob region specified size from binary image and gray-scale image with noise, but can also get the blob form very close to the original form.

关 键 词：斑点形态滤波器 斑点检测 序位滤波 

分 类 号：TN713[电子电信—电路与系统] TP391.41[自动化与计算机技术—计算机应用技术]