文本图像的去噪算法应用研究

针对在通过拍照采集图像的过程中由于光照不均而造成的文本图像的噪声问题,研究了文本图像区别于一般图像的结构特征和噪声特征,提出了一种基于文本图像的投影结合分块形态学的快速去噪方法.该方法对输入的文本图像进行二值化,对二值化后的文本图像进行投影处理,根据对投影结果进行分析来快速去除行列间噪声,根据行列间噪声的多少产生一个阈值,通过这个阈值来确定分块后的图像是否需要字符内去噪,字符内去噪则采用形态学滤波法.实验结果证明,该方法对于正常情况下光照不均的文本图像的去噪较传统的全局去噪算法的效率更高,效果更好.

Application of denoising algorithm based on document image

To deal with the noise in the document image that caused by uneven illumination in the process of image acquisition by camera,the architectural features and noise features of document images differ from the general images are studied,a fast deno-sing method through projection,block and morphology together based on the document image is proposed.Firstly,it is needed to binary the input document image.Secondly,after the binaryzation,it requires to project and get rid of the noise between the rows and columns based on the analysis of the projection.Lastly,according to the numbers of noise between lines and columns,a threshold is used to decide which block requires denoising,then the morphology is used to deal with the noise in the words.Experiments show that the fast denoising method improve the result and efficiency by comparing to the traditional denoising methods about the document image in uneven illumination.