Paper
28 December 2001 Color document analysis
Author Affiliations +
Abstract
The amount of documents in electronic formats has dramatically increased because of the ease of information sharing. Hence, it is highly desirable to design an efficient document compression technique. In this paper, a divide-and-conquer technique is propose to classify a local region into uni-level, bi-level and multi-level classes. As a result, various compression approaches can be applied to suitable area to increase compression efficiency. The color sigma filtering technique is adopted as a preprocessing stage to facilitate the following segmentation and cluster validation processes. Experiment results demonstrate that this technique successfully dichotomize a color document into regions with similar characteristics.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chung-Hui Kuo, A. Ravishankar Rao, and Gerry Thompson "Color document analysis", Proc. SPIE 4663, Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII, (28 December 2001); https://doi.org/10.1117/12.452976
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KEYWORDS
Image segmentation

Optical filters

Image filtering

Binary data

Image compression

Image processing

Detection and tracking algorithms

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