Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10360244 | Image and Vision Computing | 2005 | 9 Pages |
Abstract
We present an option for colour image segmentation applied to printing quality assessment in offset lithographic printing by measuring an average ink dot size in halftone pictures. The segmentation is accomplished in two stages through classification of image pixels. In the first stage, rough image segmentation is performed. The results of the first segmentation stage are then utilized to collect a balanced training data set for learning refined parameters of the decision rules. The developed software is successfully used in a printing shop to assess the ink dot size on paper and printing plates.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
L. Bergman, A. Verikas, M. Bacauskiene,