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-Aug-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
Appears in Collections:Articles