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The Miao nationality is the sixth largest ethnic group in China which has a history of thousands of years. It has created a unique material culture and spiritual culture in its development process and the Miao costume is a highly condensed collection of the material and spiritual culture of the Miao nationality. As one of the unique symbols of Miao culture the Miao costume has profound cultural heritage and cultural connotations. The patterns of the Miao costume are particularly eye-catching as they not only symbolize the wisdom of the Miao people in thousands of years of production and life but also symbolize the pursuit of the good spirit of the Miao people. However under the impact of modern pop culture and foreign culture these cultural symbols are gradually disappearing. In order to protect and inherit them the Miao costume pattern segmentation has become the most important work. However the Miao costume pattern segmentation is quite difficult. At present there are few studies on the extraction classification identification and preservation of the features of Miao costume pattern segmentation. With the excellent segmentation performance of the U-Net model and the advantages of easy deployment the paper improves the basic structure of the U-Net model and proposes a Miao costume pattern segmentation algorithm based on the RSKP-UNet Residual Selective-Kernel Parallel U-Net model. The algorithm adds Residual modules in the encoder part of the U-Net model to improve the feature extraction capability of the model and embeds the SKNet modules and ParNet modules in the decoder part to enhance the feature expression capability of the model. The paper uses evaluation metrics to measure the segmentation performance of the model and compares it with four segmentation models based on deep learning. The paper not only combines the current research focus-deep learning and attention mechanism but also introduces the Lovász-hinge loss function to effectively solve the problem of class imbalance in the Miao costume patterns. The RSKP-UNet model is better than other models in various segmentation indicators. Compared with the benchmark model U-Net the Dice coefficient IoU precision recall and accuracy are improved by 6. 98% 11. 07% 2. 89% 6. 75% and 3. 92% . The segmentation algorithm proposed in this paper realizes the extraction of the element content of the Miao costume patterns through image segmentation of Miao costume patterns which can be used to build the Miao costume pattern database in this way thus helping designers relevant researchers and organizations to provide research foundation and completing the protection and inheritance of the Miao costume culture. The paper also provides some reference for the segmentation research of other minority costume patterns. © 2022 Authors. All rights reserved. 相似文献
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中国历来是高精密制造设备进口国,晨光公司高档数控炭素装备生产线的高调出口,堪称我国企业界创新发展的典范。近日,地处苏中大平原扬子江畔的泰兴市晨光高新技术开发有限公司门前披红挂绿,彩旗飘扬,鞭炮齐鸣,戒 相似文献
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针对CO_2+O_2原地浸出采铀方法中碳酸氢根质量浓度的测定需求,研制了一种溶液中碳酸氢根在线分析仪。介绍了在线分析仪的测定原理、硬件和试剂配制,并对测试流程进行了详细说明。研制的在线分析仪实现了对0~2 000mg/L碳酸氢根质量浓度的测定,对在线分析仪进行的连续测试表明,仪表运行稳定,重复性好,精密度高,与现场手工分析基本一致,加标回收率在97.3%~103%,可满足现场碳酸氢根质量浓度连续、实时监测的需求。在线分析仪不仅可用于地浸采铀中碳酸氢根质量浓度的测定,还可应用于其他领域的相关测定,具有良好的实用性。 相似文献
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介绍了环境豆油丙烯酸酯齐聚物的合成步骤,讨论了反应温度、反应时间、催化剂的种类和含量、阻聚剂的含量对齐聚物合成反应的影响。通过试验确定了最佳合成条件,并用红外光谱对齐聚物的结构进行了表征。 相似文献
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正设计说明:当浑厚的木质与青花邂逅,它们原本各自绽放的美丽被紧紧缠绕,散发出无尽的飘逸与韵味。本组新中式家具设计以青花为切入点,结合多元化的材质,将明式家具的一些设计元素提炼成符号,融入现代设计理念,诠释对新中式家具的理解。 相似文献
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在乙二醇和水为混合溶剂中加入NaCl组成三元系,在20~40℃时,改变混合溶剂中乙二醇的质量分数,在w=0%,10%,20%和30%的条件下,测定下列电池电动势AgCl-Ag|NaCl(mA),C2H6O2(w),H2O(1-w)|Na-ISE,(A)确定混合溶剂中AgCl-Ag和Na-ISE电极对在不同温度时的标准电动势,计算了NaCl的迁移性质。结果表明,低温时NaCl在纯水中有较高的吉布斯自由能状态,而在高温时,NaCl在乙二醇和水的混合溶液中处于较高的吉布斯自由能状态。 相似文献
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