Segmentation and enhancement of digital copies using a new fuzzy clustering method

Mohamed Nooman Ahmed; Brian E. Cooper

doi:10.1117/12.643243

17 February 2006 Segmentation and enhancement of digital copies using a new fuzzy clustering method

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 60641C (2006) https://doi.org/10.1117/12.643243
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this paper, we introduce a new system to segment and label document images into text, halftoned images, and background using a modified fuzzy c-means (FCM) algorithm. Each pixel is assigned a feature vector, extracted from edge information and gray level distribution. The feature pattern is then assigned to a specific region using the modified fuzzy c-means approach. In the process of minimizing the new objective function, 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.

Citation Download Citation

Mohamed Nooman Ahmed and Brian E. Cooper "Segmentation and enhancement of digital copies using a new fuzzy clustering method", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60641C (17 February 2006); https://doi.org/10.1117/12.643243

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