TY - JOUR
KW - Intangible cultural heritages
KW - human
KW - article
KW - Inheritance
KW - Education
KW - AI
KW - calculation
KW - Clusterings
KW - convolutional neural network
KW - Convolutional neural networks
KW - Creative products
KW - Creative products
KW - Creativity
KW - Design method
KW - Edge detection
KW - Ethical education among educator:
KW - ethical education among educators:
KW - ethics
KW - Ethics education
KW - Folk customs
KW - human experiment
KW - Image fusion
KW - image generation
KW - Image generations
KW - intermethod comparison
KW - machine learning
KW - painting
KW - painting generation
KW - Painting generation
KW - Pharma industries
KW - Pharma industry
KW - Philosophical aspects
KW - Product design
KW - Product design
KW - religion
KW - RNA splicing
AU - F. Xu
AU - L. Zhiwei
AB - 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.
BT - Journal of Commercial Biotechnology
DO - 10.5912/jcb1035
LA - English
M1 - 1
N1 - Publisher: ThinkBiotech LLC
N2 - 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.
PY - 2022
SP - 32
EP - 41
T2 - Journal of Commercial Biotechnology
TI - Design method of intangible cultural products based on pharma industries ethics education among educators
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136709369&doi=10.5912%2fjcb1035&partnerID=40&md5=6dff81f244ea6abe17ef2ada3f8b2015
VL - 27
SN - 14628732 (ISSN)
ER -