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AI; Article; Calculation; Clusterings; Convolutional Neural Network; Convolutional Neural Networks; Creative Products; Creativity; Design Method; Edge Detection; Education; Ethical Education Among Educator:; Ethical Education Among Educators:; Ethics; Ethics Education; Folk Customs; Human; Human Experiment; Image Fusion; Image Generation; Image Generations; Inheritance; Intangible Cultural Heritages; Intermethod Comparison; Machine Learning; Painting; Painting Generation; Pharma Industries; Pharma Industry; Philosophical Aspects; Product Design; Religion; RNA Splicing;
A design technique for intangible cultural creative products based on pharma industries ethics education among educator's generation is suggested to address the issue of low image fusion caused by the high cost of clustering calculation in the design of such items. 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 pharma industries' ethical education with educators, 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 a good application effect.