首页|基于AD-SegNet模型的苗族服饰图案分割方法研究

基于AD-SegNet模型的苗族服饰图案分割方法研究

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针对苗族服饰图案纹理多元化、形状不规则问题,提出了注意力特征融合的深度过参数化卷积语义分割网络(a deep over-parameterized convolutional semantic segmentation network for attentional feature fusion,AD-SegNet)模型.在传统卷积操作中增加深度卷积操作,加快了模型的收敛速度,提高了模型的分割性能.针对苗族服饰图案色彩差异大的问题,引入了注意力特征融合(attentional feature fusion,AFF),通过融合不同卷积层输出之间的特征信息,加强对特征信息的提取,减少色彩差异给网络学习带来的影响.实验结果表明,AD-SegNet模型性能优于其他对比模型,能有效对苗族服饰图案进行分割,与语义分割网络(semantic segmentation network,SegNet)基准模型相比,在像素准确率(pixel accuracy,PA)、交并比(intersection over union,IoU)、戴斯相似系数几个指标上分别提升了 0.0447、0.0921、0.0542,为少数民族服饰图案分割研究提供了有效可行的方法.
Research on the Segmentation Method of Miao Costume Patterns Based on AD-SegNet Modeling
To address the problem of diverse textures and irregular shapes of Miao costume patterns,a deep over-parameterized convolutional semantic segmentation network for attentional feature fusion(AD-SegNet)model was proposed,which added depth convolution operations to the traditional convolution operations,accelerated the convergence speed of the model,and improved the segmentation performance of the model.For the problem of large color differences in Miao costume patterns,attentional feature fusion(AFF)was introduced to enhance the extraction of feature information by fusing the feature information between the outputs of different convolutional layers,and to reduce the impact of color differences on network learning.The experimental results showed that the AD-SegNet model outperformed other comparative models and could effectively segment the Miao costume patterns.Compared with the baseline model of semantic segmentation network(SegNet),the pixel accuracy(PA),intersection over union(IoU),and dice similarity coefficient improved 0.0447、0.0921 and 0.0542 respectively,which provided an effective and feasible method for the research of ethnic minority costume pattern segmentation.

Miao costumedeep over-parameterized convolutionAD-SegNetdepth convolution operationsAFFfeature informationSegNet

罗森艳、杨贵燕、蔡江海、王顺霞、黄成泉、万林江

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贵州民族大学数据科学与信息工程学院,贵阳 550025

贵州民族大学工程技术人才实践训练中心,贵阳 550025

苗族服饰 深度过参数化卷积 AD-SegNet 深度卷积操作 AFF 特征信息 SegNet

国家自然科学基金项目贵州省省级科技计划项目贵州省研究生教育教学改革重点项目贵州省教育厅自然科学研究项目

62062024黔科合基础-ZK[2021]一般342黔教合YJSJGKT[2021]018黔教技[2022]015

2024

10.13501/j.cnki.42-1908/n.2024.03.014

湖北民族大学学报(自然科学版)
湖北民族学院

湖北民族大学学报(自然科学版)

影响因子：0.458
ISSN：2096-7594
年,卷(期)：2024.42(1)
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