Image Segmentation Using Expectation Maximization and Its Application to Digital Copying
Mohamed Nooman Ahmed · Technical programs and proceedings/Technical program and proceedings · 2005
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.