摘要
在二值图像中,对象是指值为1且邻接在一起的像素的集合。提出了一种基于对象的二值图像的重构算法。该算法利用二值图像中像素间自然的、基本的关系,达到含有噪音的二值图像去噪的效果。首先将水印图像的所有邻接分量标注出来,然后计算每个邻接分量包含的元素的数目;因为噪音一般都是孤立的元素,所以将数目最小的邻接分量中的所有元素置为0,通过不断的循环直至水印图像中的邻接分量等于原始水印图像数目。实验结果证明,该算法效果良好。
In the binary image,the object is a set of pixels which includes ls linked together.In this paper, a reconstruction algorithm is presented that is based on the object of the binary image.This algorithm uses the basic relation between the natural pixels of the binary image,and reaches the aim of denoising the noiseed binary image.Firstly,all connected components of watermark are marked,and then calculating the number of elements for each component.Secondly,the noise elements are generally isolated ones,the connected components having smallest number are all changed.and all elements of which are setted to zeros. Thus,some program-cycles may be runned until the difference between the processed watermark and the original one is smaller than assigned threshold value. Experimental results show that this method is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第4期27-29,82,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(the National High- Tech Research and Development Plan of China under Grant No.2005AA414020)
上海市科学技术委员会科研计划项目(No.052912065)
关键词
二值图像
对象
邻接方式
重构
watermarking image
object
adjacent method
reconstruction
