Design method of intangible cultural creative products based on pharma Industries Ethics Education among Educators

Fan Xu
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Abstract

In order to solve the problem of low image fusion caused by the high cost of clustering calculation in the design of intangible cultural creative products, a design method for intangible cultural creative products based on AI painting generation is proposed for pharma companies. The intangible cultural heritage image is extracted and segmented. The image is divided into different regions according to the gray level of pixels, and the edge detection algorithm of images in different regions of the product is designed to make the region near the picture more fit. The fusion image of intangible cultural heritage features is generated based on AI paintings, so as to reduce the cost of clustering calculation and complete the splicing of artistic style. Build the design model of intangible cultural creative products, combine the design creativity, and realize the mutual integration of intangible culture and products. Construct four image sample sets of scenic spots and historic sites, religious beliefs, festival folk customs and handmade, and test the fusion degree. Taking the festival folk custom image set as an example, the average fusion degree of this method is 0.773, which is 0.133 and 0.145 higher than the comparison method based on convolutional neural network and machine learning, respectively. Therefore, it has good application effect.
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基于医药产业伦理教育的非物质文化创意产品设计方法
针对非物质文化创意产品设计中聚类计算成本高导致图像融合度低的问题,针对制药企业提出了一种基于AI绘画生成的非物质文化创意产品设计方法。对非物质文化遗产图像进行提取和分割。根据像素的灰度将图像划分为不同的区域,设计产品不同区域图像的边缘检测算法,使图像附近的区域更加贴合。基于AI绘画生成非物质文化遗产特征融合图像,减少聚类计算成本,完成艺术风格拼接。构建非物质文化创意产品设计模型,结合设计创意,实现非物质文化与产品的相互融合。构建景区古迹、宗教信仰、节日民俗、手工制作四组图像样本集,测试融合程度。以节日民俗图像集为例,该方法的平均融合度为0.773,比基于卷积神经网络和机器学习的比较方法分别高0.133和0.145。因此具有良好的应用效果。
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