This paper describes a document segmentation method based on segmentation by texture using low resolution gray level images. The method is derived from the human vision perception theory. The concepts used from this theory are, global to local processing and low resolution information. If a document is viewed at a certain distance far from a person, the person sees a blurred image of the document, but is still able to detect the different blocks of the document. Detection is possible since each block has a specific texture pattern. These patterns correspond to regions of text, regions of graphics and regions of pictures. Thus the theory to prove is that a document image can be segmented into regions of text, and regions of graphics and/or pictures using the texture of low resolution images. The method presented in this paper, despite its simplicity, has shown to be effective and robust. It was designed to work with free format documents, text in background other than white, skew greater than 10 degrees. It requires less computation than the segmentation methods using texture described in other papers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Document segmentation using texture variance and low resolution images


    Contributors:


    Publication date :

    1998-01-01


    Size :

    396001 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Document Segmentation Using Texture Variance and Low Resolution Images

    Chacon Muguia, M. I. / University of Arizona / University of Arizona; Foundation et al. | British Library Conference Proceedings | 1998


    Texture-Based Segmentation of Road Images

    Zhang, J. / Nagel, H.-H. / IEEE; Industrial Electronics Society | British Library Conference Proceedings | 1994


    Texture-based segmentation of road images

    Jinyou Zhang / Nagel, H.-H. | IEEE | 1994


    Automated Segmentation of Math-Zones from Document Images

    Chowdhury, S. / Mandal, S. / Das, A. et al. | British Library Conference Proceedings | 2003


    Automated segmentation of math-zones from document images

    Chowdhury, S.P. / Mandal, S. / Das, A.K. et al. | IEEE | 2003