一种文档图像多尺度分割算法

1.研究背景随着数字图书馆和电子办公应用的日益普及,面对大量纸质原始文件及资料的数字化,直接扫描、存储和传输文档的需求越来越多,为了解决扫描文档图像庞大信息量和存储容量、传输带宽之间的矛盾,迫切需要专门针对文档图像研究新的高性能压缩算法。根据扫描文挡页面的内容特征,提高压缩比最有挖掘潜力的方法是对文档图像进行图文分割后再分别

An Algorithm of Multiscale Segmentation for Documen Image

Segmenting a document image into text and picture areas is very important for compressing efficiently document images. This paper introduces an algorithm of multiscale image segmentation for document image compression, which uses of wavelet-domain hidden Markov tree model in order to directly calculate the parameter of model based on original image to be segmented, and to obtain multiscale classification and segmentation of image. The idea of the method is to combine several new technologies such as multilevel wavelet transform,multiscale decision, across-scale dependencies and joint probability density function. The paper describes in detail the concept of the dyadic block,the correspondency between wavelets and dyadic blocks based on quad-tree, the hidden Markov model and multiscale likelihood computation.