{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:28:45Z","timestamp":1740148125526,"version":"3.37.3"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,2,19]],"date-time":"2018-02-19T00:00:00Z","timestamp":1518998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong","doi-asserted-by":"crossref","award":["2017A030307030","61402399","YQ2014117","2014A020220012"],"award-info":[{"award-number":["2017A030307030","61402399","YQ2014117","2014A020220012"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2017A030307030","61402399","YQ2014117","2014A020220012"],"award-info":[{"award-number":["2017A030307030","61402399","YQ2014117","2014A020220012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation for Distinguished Young Teachers in Higher Education of Guangdong","award":["2017A030307030","61402399","YQ2014117","2014A020220012"],"award-info":[{"award-number":["2017A030307030","61402399","YQ2014117","2014A020220012"]}]},{"name":"Science and Technology Planning Project of Guangdong","award":["2017A030307030","61402399","YQ2014117","2014A020220012"],"award-info":[{"award-number":["2017A030307030","61402399","YQ2014117","2014A020220012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2018,2,19]]},"abstract":"<jats:p>The process of creating nonphotorealistic rendering images and animations can be enjoyable if a useful method is involved. We use an evolutionary algorithm to generate painterly styles of images. Given an input image as the reference target, a cloud model-based evolutionary algorithm that will rerender the target image with nonphotorealistic effects is evolved. The resulting animations have an interesting characteristic in which the target slowly emerges from a set of strokes. A number of experiments are performed, as well as visual comparisons, quantitative comparisons, and user studies. The average scores in normalized feature similarity of standard pixel-wise peak signal-to-noise ratio, mean structural similarity, feature similarity, and gradient similarity based metric are 0.486, 0.628, 0.579, and 0.640, respectively. The average scores in normalized aesthetic measures of Benford\u2019s law, fractal dimension, global contrast factor, and Shannon\u2019s entropy are 0.630, 0.397, 0.418, and 0.708, respectively. Compared with those of similar method, the average score of the proposed method, except peak signal-to-noise ratio, is higher by approximately 10%. The results suggest that the proposed method can generate appealing images and animations with different styles by choosing different strokes, and it would inspire graphic designers who may be interested in computer-based evolutionary art.<\/jats:p>","DOI":"10.1155\/2018\/4518265","type":"journal-article","created":{"date-parts":[[2018,2,19]],"date-time":"2018-02-19T18:37:27Z","timestamp":1519065447000},"page":"1-19","source":"Crossref","is-referenced-by-count":2,"title":["Image-Guided Rendering with an Evolutionary Algorithm Based on Cloud Model"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2835-5252","authenticated-orcid":true,"given":"Tao","family":"Wu","sequence":"first","affiliation":[{"name":"School of Information Engineering, Lingnan Normal University, Zhanjiang 524048, China"},{"name":"Guangdong Engineering and Technological Development Center for E-Learning, Zhanjiang 524048, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2014.01.002"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31008-4_16"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-014-0123-5"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31008-4_12"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31008-4_9"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/tvcg.2012.160"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17432-2_29"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-014-9234-0"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31008-4_2"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2017.09.003"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55849-3_30"},{"year":"2007","key":"17"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1002\/int.20340"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2317500"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/6590383"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2009.03.003"},{"issue":"7","key":"22","first-page":"1082","volume":"31","year":"2008","journal-title":"Chinese Journal of Computers"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.09.010"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/5901258"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1016\/j.camwa.2011.07.048"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.04.051"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2014.03.016"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2175935"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008363415314"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1016\/s0097-8493(03)00154-7"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2008.34"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2016.01.012"},{"key":"36","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1117\/12.320117","volume":"3299","year":"1998","journal-title":"Proceedings of SPIE"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2011.2125070"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22041-3_16"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/4518265.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/4518265.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/4518265.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T19:30:57Z","timestamp":1537299057000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2018\/4518265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,19]]},"references-count":32,"alternative-id":["4518265","4518265"],"URL":"https:\/\/doi.org\/10.1155\/2018\/4518265","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2018,2,19]]}}}