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http://dx.doi.org/10.6109/jkiice.2015.19.12.2949

A Method for Extracting Mosaic Blocks Using Boundary Features  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Park, Young-Jae (School of Software, Soongsil University)
Huh, Moon-Haeng (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.12, 2015 , pp. 2949-2955 More about this Journal
Abstract
Recently, with the sharp increase of digital visual media such as photographs, animations, and digital videos, it has been necessary to generate mosaic blocks in a static or dynamic image intentionally or unintentionally. In this paper, we suggest a new method for detecting mosaic blocks contained in a color image using boundary features. The suggested method first extracts Canny edges in the image and finds candidate mosaic blocks with the boundary features of mosaic blocks. The method then determines real mosaic blocks after filtering out non-mosaic blocks using geometric features like size and elongatedness features. Experimental results show that the proposed method can detect mosaic blocks robustly rather than other methods in various types of input images.
Keywords
Feature Extraction; Edge; Filtering; Mosaic Block; Candidate Region;
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