DocumentCode
2223611
Title
Artistic image processing with cellular automata and evolutionary algorithms
Author
Tseng, Hsuan-wen ; Chen, Ying-ping
Author_Institution
Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan
fYear
2015
fDate
25-28 May 2015
Firstpage
2153
Lastpage
2159
Abstract
Scientists and artists have been dedicate themselves to combine science and art together for decades, especially in the realm of computer science and digital technology. Nowadays, there are commercial software packages providing artistic image effect filters and processors. These functionalities are usually designed for certain specific purposes, such as blur, sketch, and the like. In this study, we make our attempt to develop a mechanism which is able to generate many different kinds of artistic effects, many of which are probably difficult to describe. The proposed mechanism combines cellular automata and pixel painting to process a given image with the involvement of an evolutionary algorithm. Interesting and/or unexpected results are obtained via the use of the evolutionary algorithm on the objective functions presented in this paper.
Keywords
Art; Automata; Evolutionary computation; Genetic algorithms; Image color analysis; Linear programming; Painting;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2015 IEEE Congress on
Conference_Location
Sendai, Japan
Type
conf
DOI
10.1109/CEC.2015.7257150
Filename
7257150
Link To Document