@inproceedings{0fca8d927ac64eec8f4d59410b89a0be,
title = "Image feature extraction and recognition of abstractionism and realism style of Indonesian paintings",
abstract = "This paper chooses and evaluates three feature vectors and their augmented feature vector for recognizing the styles of Indonesian paintings. The three feature extraction methods include the Gabor wavelet, histogram analysis, and number-of-edge analysis. The recognition purpose is to discriminate between the abstractionism and the realism styles of Indonesian paintings. The experimental results using 115 painting images show that the use of number-of-edge features has given the best result with 66.23% accuracy.",
keywords = "Canny edge detection, Feature extraction, Gabor wavelet, Histogram, Indonesian paintings, Visual arts",
author = "{Tieta Antaresti}, {R. P.} and Arymurthy, {Aniati Murni}",
year = "2010",
doi = "10.1109/ACT.2010.9",
language = "English",
isbn = "9780769542690",
series = "Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010",
pages = "149--152",
booktitle = "Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010",
note = "2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 ; Conference date: 02-12-2010 Through 03-12-2010",
}