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28 December 2001 Picture/graphics classification using texture features
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Abstract
Natural pictures differ from synthetic graphics in many aspects, both in terms of visual perception and image statistics. As a result, image processing algorithms often behave differently on these two types of images. Classifying images and processing them using the method that is best to the image type may yield optimal results. In this paper, we propose to use image smoothness features to determine whether a scanned image was originally a synthetic graphic, or a natural picture. Synthetic graphics are usually very smooth. On the contrary, natural pictures are often noisier and texture rich. A classifier can therefore be built based on the measurement of the texture energy.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhigang Fan and Raja Bala "Picture/graphics classification using texture features", Proc. SPIE 4663, Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII, (28 December 2001); https://doi.org/10.1117/12.452977
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