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一种基于区域—图非对称匹配的少数民族服饰检索方法
引用本文:欧阳昭相.一种基于区域—图非对称匹配的少数民族服饰检索方法[J].教育技术导刊,2020,19(6):227-230.
作者姓名:欧阳昭相
作者单位:德宏师范高等专科学校 信息学院,云南 芒市 678400
基金项目:国家自然科学基金项目(61862068);云南师范大学民族教育信息化教育部重点实验室访问学者项目(2019001)
摘    要:针对少数民族服饰具有的典型纹样图案和款式特征,提出一种基于区域—图非对称匹配的少数民族服饰图像检索方法,首先利用 gPb-OWT-UCM 算法对检索图像进行区域分割,然后将分割后图像中的每个区域特征与未分割的待检索图像进行基于动态规划的非对称匹配,并通过评估匹配组的布局一致性计算少数民族服饰图像之间的相似度,最后通过排序实现图像检索任务。实验结果表明,与传统基于外观特征的方法相比,该方法不仅可以获得较好的图像检索效果,还可以通过相似区域匹配结果呈现不同少数民族服饰独有的风格特征,为少数民族服饰文化的数字化保护与传承提供有效途径。

关 键 词:图像匹配  图像检索  少数民族服饰  
收稿时间:2020-04-28

Ethnic Minority Costume Retrieval Based on Region-to-image Asymmetric Matching
OUYANG Zhao-xiang.Ethnic Minority Costume Retrieval Based on Region-to-image Asymmetric Matching[J].Introduction of Educational Technology,2020,19(6):227-230.
Authors:OUYANG Zhao-xiang
Institution:School of Information,Dehong Teachers’College,Mangshi 678400,China
Abstract:For the distinctive characteristics with representative pattern design and style of ethnic minority costume,this paper proposed an image retrieval method for ethnic minority costume based on region-to-image asymmetric matching. First, the gPb-OWT-UCM algorithm is used to segment the retrieval image. Then the corresponding points can be found in an“asymmetric”manner by matching features within each region of a segmented image to an unsegmented retrieved image with dynamic programming solution. The similarity degree between minority costume images is calculated by evaluating the layout consistency of matching points. Finally,the image retrieval task can be realized through the similarity degree. The experimental results show that,compared with the traditional methods based on appearance features,the proposed method can not only acheive better image retrieval performance,but also present the unique style characteristics of different ethnic minority costumes by regional matching results. It will provide an effective way for the digital protection and tradition of minority costume culture.
Keywords:image matching  image retrieval  national costume  
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