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3 September 2013 Style-based classification of Chinese ink and wash paintings
Jiachuan Sheng, Jianmin Jiang
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Optical Engineering, Vol. 52, Issue 9, 093101 (September 2013). https://doi.org/10.1117/1.OE.52.9.093101
Abstract
Following the fact that a large collection of ink and wash paintings (IWP) is being digitized and made available on the Internet, their automated content description, analysis, and management are attracting attention across research communities. While existing research in relevant areas is primarily focused on image processing approaches, a style-based algorithm is proposed to classify IWPs automatically by their authors. As IWPs do not have colors or even tones, the proposed algorithm applies edge detection to locate the local region and detect painting strokes to enable histogram-based feature extraction and capture of important cues to reflect the styles of different artists. Such features are then applied to drive a number of neural networks in parallel to complete the classification, and an information entropy balanced fusion is proposed to make an integrated decision for the multiple neural network classification results in which the entropy is used as a pointer to combine the global and local features. Evaluations via experiments support that the proposed algorithm achieves good performances, providing excellent potential for computerized analysis and management of IWPs.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Jiachuan Sheng and Jianmin Jiang "Style-based classification of Chinese ink and wash paintings," Optical Engineering 52(9), 093101 (3 September 2013). https://doi.org/10.1117/1.OE.52.9.093101
Published: 3 September 2013
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Cited by 6 scholarly publications.
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KEYWORDS
Feature extraction
Image classification
Detection and tracking algorithms
Edge detection
Image processing
Neural networks
Optical engineering
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