Image Segmentation Using Expectation Maximization and Its Application to Digital Copying
Abstract:In this paper, we present a new system to segment and label document images into text, halftone images, and background using feature extraction and unsupervised clustering. Each pixel is assigned a feature pattern. The invariant feature pattern is then assigned to a specific region using the Expectation-Maximization (EM) algorithm. Once the segmentation is performed, a specific enhancement filter can be applied to each document component.
Document Type: Research Article
Publication date: 2005-01-01
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