標題: | GENETIC-BASED APPROACH FOR SYNTHESIZING TEXTURE |
作者: | Chang, Chin-Chen Kuo, Yen-Ting Tai, Wen-Kai 多媒體工程研究所 Institute of Multimedia Engineering |
關鍵字: | Genetic algorithm;evolutionary computation;texturing;texture synthesis |
公開日期: | 1-八月-2008 |
摘要: | Intensive search schemes are commonly adopted in patched-based texture synthesis to identity the proper neighbors of each patch. However, they do not always provide perfect solutions. This work presents a genetic algorithm in evolutionary computation for patch-based texture synthesis. The representation of an input source texture is first adjusted. Then, the synthesizing result is generated and refined by the selection of individuals based on their fitness and executing crossover and mutation until the criteria are met. After the entire execution, a large output texture is generated with texture features similar to the source texture. Because this approach optimizes the genetic algorithm, the results are satisfactory. |
URI: | http://dx.doi.org/10.1142/S0218213008004126 http://hdl.handle.net/11536/8528 |
ISSN: | 0218-2130 |
DOI: | 10.1142/S0218213008004126 |
期刊: | INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS |
Volume: | 17 |
Issue: | 4 |
起始頁: | 731 |
結束頁: | 743 |
顯示於類別: | 期刊論文 |