Back to articles
Volume: 18 | Article ID: art00099_2
A Modified Fuzzy C-Means Algorithm for Document Image Segmentation
  DOI :  10.2352/ISSN.2169-4451.2002.18.1.art00099_2  Published OnlineJanuary 2002

In this paper, we present a new system to segment and label document images into text, images, and background using a modified Fuzzy C-means Algorithm. Each pixel is assigned a feature pattern extracted from the gray level distribution and computed at different scales. The invariant feature pattern is then assigned to a specific region using Fuzzy logic. Our algorithm is formulated by modifying the objective function of the standard fuzzy c-means (FCM) algorithm to allow the labeling of a pixel to be influenced by the labels in its immediate neighborhood. The neighborhood effect acts as a regularizer and biases the solution towards piecewise-homogeneous labelings. Such a regularization is useful in segmenting scans corrupted by scanner noise.

Subject Areas :
Views 3
Downloads 0
 articleview.views 3
 articleview.downloads 0
  Cite this article 

Mohamed Nooman Ahmed, "A Modified Fuzzy C-Means Algorithm for Document Image Segmentationin Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP18),  2002,  pp 815 - 818,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
NIP & Digital Fabrication Conference
nip digi fabric conf
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA