We present a study demonstrating how random walk algorithms can be used for evolutionary image transition. We design different mutation operators based on uniform and biased random walks and study how their combination with a baseline mutation operator can lead to interesting image transition processes in terms of visual effects and artistic features. Using feature-based analysis we investigate the evolutionary image transition behaviour with respect to different features and evaluate the images constructed during the image transition process.
CITATION STYLE
Neumann, A., Alexander, B., & Neumann, F. (2017). Evolutionary image transition using random walks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10198 LNCS, pp. 230–245). Springer Verlag. https://doi.org/10.1007/978-3-319-55750-2_16
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