id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3ymeroqfxzfsvg7rf56c5ksbb4	Sang-Geol Lee	Style classification and visualization of art painting's genre using self-organizing maps	2016	11	.pdf	application/pdf	4087	458	61	While art historians have analyzed and classified paintings based on the accumulated literature research on aesthetics, there were limitations of interpreting the features that are there is a need to develop objective features to classify art paintings based on scientific based local features of paintings are extracted through the segmentation of objects Keywords: Art painting style, Image feature, Self‑organizing map, Watershed In order to extract feature values from paintings with different sizes, the process of that are used or preferred by the painters, while composition is the local features analyzed and extracted from the segmentation of the paintings by region. Figure 2 illustrates the process of training and classifying SOM using the feature values extracted in "Feature extraction for art paintings" section. Fig. 4 Collected image samples by painting style: a expressionism, b impressionism, c post‑impressionism, d Style classification and visualization of art painting's genre using self-organizing maps Style classification and visualization of art painting's genre using self-organizing maps	./cache/work_3ymeroqfxzfsvg7rf56c5ksbb4.pdf	./txt/work_3ymeroqfxzfsvg7rf56c5ksbb4.txt