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作 者:刘素琼[1] 王万亮 邢晓刚 顾鸣 周莉 LIU Suqiong;WANG Wanliang;XING Xiaogang;GU Ming;ZHOU Li(Art College,Jinling Institute of Technology,Nanjing 211169,China;College of Information Science and Technology,Nanjing Agricultural University,Nanjing 210095,China;Jiangsu Huayi Clothing Co.Ltd.,Haian 226600,China)
机构地区:[1]金陵科技学院艺术学院,江苏南京211169 [2]南京农业大学信息科技学院,江苏南京210095 [3]江苏华艺服饰有限公司,江苏海安226600
出 处:《印染助剂》2020年第6期24-29,共6页Textile Auxiliaries
基 金:江苏省教改课题(2019JSJG344);江苏社科基金(17YSB008);江苏高校哲社项目(2018SJZDI150);江苏省一流本科专业建设工程资助项目。
摘 要:为实现扎染复杂图案的数字仿真设计,提出了基于条件深度卷积对抗生成网络(CDCGAN)与数字图像处理技术的扎染复杂图案仿真设计算法。算法采集大量扎染花形样本图,构建CDCGAN生成扎染花形图、背景图。首先从打样图提取出扎染花形整体布局结构信息,然后用CDCGAN生成背景图校色拼接组成完整背景图,将CDCGAN生成的扎染花形图分割出花形关键区域,并校色拼贴至背景图,最后对整图做均值滤波处理,获得扎染仿真图。结果表明:扎染仿真图色彩层次丰富,达到了高度仿真的艺术效果,花形体现了扎染工艺的特点且不重样。In order to realize digital simulation design of tie-dye complex pattern,simulation design algo⁃rithm of tie-dye complex pattern based on condition deep convolution generative adversarial networks(CDC⁃GAN)and digital image processing technology was proposed.A large number of tie-dye pattern samples were collected,and CDCGAN was constructed to generate tie-dye pattern and background image.Firstly,the overall layout and structure information of tie-dye pattern was extracted from proofing image.Then CDCGANgenerated background images were color-corrected to stitch and complete whole background image.CDC⁃GAN-generated tie-dye pattern images were segmented into key areas of the pattern,and the color was cor⁃rected and stitched to the background image.Finally,tie-dye simulation pattern was created by mean filtering of the whole image.The results showed that tie-dye simulation pattern contained many contrasting color lay⁃ers,achieving highly realistic artistic effects,and each pattern reflected the characteristics of tie-dye process without repetition.
关 键 词:扎染图案 数字仿真 深度学习 CDCGAN 数字图像处理技术
分 类 号:TS941.2[轻工技术与工程—服装设计与工程] TS193.5
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