基于遗传算法优化Canny算子的织绣文物纹样抽取方法研究  

Research on the extraction method of woven and embroidered artifacts’ patterns based ongenetic algorithm optimization of Canny operator

作　　者：张宇[1,2] 张健[1,2,3] 齐林[1,2,3,4] ZHANG Yu;ZHANG Jian;QI Lin(School of Economics&Management,Beijing InformationScience&Technology University,Beijing 100192,China;Key Research Base of Beijing Municipal Cultural Heritage Bureau,Beijing InformationScience&Technology University,Beijing 100192,China;Beijing World Urban Circular Economy System(Industry)Collaborative Innovation Center,Beijing 100192,China;Beijing Key Lab ofGreen Development Decision Based on Big Data,Beijing 100192,China)

机构地区：[1]北京信息科技大学经济管理学院,北京100192 [2]北京信息科技大学北京市文物局重点科研基地,北京100192 [3]北京世界城市循环经济体系(产业)协同创新中心,北京100192 [4]绿色发展大数据决策北京市重点实验室,北京100192

出　　处：《丝绸》2024年第6期1-12,共12页Journal of Silk

基　　金：北京市属高等学校优秀青年人才培育计划项目(BPHR202203235);国家重点研发计划青年科学家项目(2021YFF0900200);北京信息科技大学促进高效内涵发展项目(5026010961)。

摘　　要：织绣文物中的纹样彰显中国传统文化造型艺术的形式美感,是文创设计的重要素材源泉。针对传统Canny算子进行纹样边缘检测需人为确定阈值的问题,本文提出基于遗传算法自适应优化Canny算子阈值的方法,将边缘点、非边缘点类间梯度幅值方差设置为适应度函数,通过格雷码对阈值染色体编解码、锦标赛选择算法优选交叉变异后的阈值,求解最优适应度对应的高低阈值,用于纹样边缘检测;此外,运用形态学操作得到纹样的完整、精确轮廓;最后,添加Alpha通道抽取纹样前景。实验表明,上述方法在织绣纹样抽取精度和像素准确度(PA)上,优于传统Canny算子、混合蛙跳自适应Canny算子、Otsu法优化Canny算子等已有方法,可有效检测织绣文物图像中纹样真实边缘并完成纹样抽取。Weaving and embroidering are the craft of weaving,knitting or embroidering with cotton,linen,silk,wool and other textile materials.China is the starting point of the Silk Road,the birthplace of sericulture,silk reeling and silk weaving,and the exquisite skills of the weaving and embroidery industry enjoy a high reputation in the world.The patterns of woven and embroidered artifacts present historical,cultural and artistic values,highlight the formal beauty of plastic arts in traditional Chinese culture,and provide rich material resources for cultural and creative design.However,the traditional weaving and embroidering design mainly relies on manual pattern extraction,which has problems such as high cost,complicated steps,long cycle and low efficiency.To this end,this paper proposed an algorithm based on genetic algorithm to adaptively determine the optimal threshold value of Canny operator to automatically extract the patterns in the images of woven and embroidered artifacts,improve the extraction efficiency and effect,make the artifacts“live”,and promote the inheritance and protection of traditional Chinese culture.To realize the automatic extraction of patterns from images of woven and embroidered artifacts,and solve the problem that traditional Canny operators need to manually determine the threshold for edge detection of images of woven and embroidered artifacts,and that the extraction efficiency is not high,the article,took the images of woven and embroidered artifacts as the research object,proposing a genetic algorithm to optimize the Canny operator for the extraction of patterns from woven and embroidered artifacts.Firstly,the paper analyzed the characteristics of the images of the woven and embroidered artifacts,and used bilateral filtering algorithm and mean drift algorithm to smooth the noisy original image;for the gray scale of the smoothed graph,it selected the genetic algorithm to solve the optimal threshold of Canny operator,and input the optimal threshold into Canny operator for the edge detec

关 键 词：织绣文物 遗传算法 CANNY算子 边缘检测 纹样抽取 最优阈值 

分 类 号：TS101.1[轻工技术与工程—纺织工程]