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In the past, various problems in art imaging such as painter identification, painting image classification and retrieval were successfully solved by computer vision. However, very few works focused on analyzing the relationships among paintings of different artists. In this paper, we first define a set of image features in terms of abstract artistic concepts on colour and composition. Using extracted...
Scilab is the famous open source software. Scilab has been extensively received and it has been designed a open system. So scilab is a good platform to develop some useful toolbox. Random Forests is an excellent machine learning algorithm. It is efficient to process large data and can solve unbalanced classification problems. It has been used widely. While because of some disadvantages, the current...
A novel method on characteristic lines extracting of digital images is presented in this paper by using the moment of inertia theory, which is used to extract the characteristic lines in digital images through treating them as rigid bodies. The characteristic lines process scale and rotation invariant inherently. Experimental results manifest that using the angle difference between characteristic...
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