Content-based lace fabric image retrieval system using texture and shape features

Li Yueyang; Luo Haichi; Jiang Gaoming; Cong Honglian

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Content-based lace fabric image retrieval system using texture and shape features

机译：基于内容的鞋带织物图像检索系统使用纹理和形状特征

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摘要

A content-based lace fabric image retrieval system using texture and shape features is presented in this article. The retrieval system consists of two steps: registration and identification. During the registration procedure, a feature vector corresponding to each lace fabric sample image is extracted and then stored in a feature database. During the identification procedure, a feature vector of a lace fabric query image is extracted and then the similarities between the query image and all the sample images are calculated. Finally, the retrieval results can be sorted based on their similarities to the query image. Experimental results demonstrate the effectiveness of retrieval performance of the proposed algorithm and possible practical application of the retrieval system in lace fabric industry to improve management efficiency.

机译：本文提出了一种基于内容的蕾丝织物图像检索系统，包括纹理和形状特征。检索系统由两个步骤组成：注册和识别。在注册过程中，提取与每个鞋带结构样本图像对应的特征向量，然后将其存储在特征数据库中。在识别过程中，提取鞋带结构查询图像的特征向量，然后计算查询图像与所有样本图像之间的相似性。最后，可以基于其与查询图像的相似性对检索结果进行排序。实验结果表明，所提出的算法检索性能的有效性以及检索系统在蕾丝面料行业中的实际应用，提高管理效率。

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来源
《The Journal of the Textile Institute》 |2019年第6期|911-915|共5页
作者
Li Yueyang; Luo Haichi; Jiang Gaoming; Cong Honglian;
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作者单位

Jiangnan Univ Minist Educ Engn Res Ctr Knitting Technol 1800 Lihu Ave Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Minist Educ Key Lab Adv Proc Control Light Ind Wuxi Peoples R China;

Jiangnan Univ Minist Educ Engn Res Ctr Knitting Technol 1800 Lihu Ave Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Minist Educ Engn Res Ctr Knitting Technol 1800 Lihu Ave Wuxi 214122 Jiangsu Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Content-based image retrieval; lace fabric; feature extraction;

机译：基于内容的图像检索;蕾丝面料;特征提取;

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专利

1. Content-based lace fabric image retrieval system using texture and shape features [J] . Li Yueyang, Luo Haichi, Jiang Gaoming, The Journal of the Textile Institute . 2019,第6期

机译：利用纹理和形状特征的基于内容的花边织物图像检索系统
2. Local features integration for content-based image retrieval based on color, texture, and shape [J] . Ghahremani Mona, Ghadiri Hamid, Hamghalam Mohammad Multimedia Tools and Applications . 2021,第18期

机译：基于颜色，纹理和形状的基于内容的图像检索的本地功能集成
3. New Approach on the Techniques of Content-Based Image Retrieval (CBIR) Using Color, Texture and Shape Features [J] . Mohd Afizi Mohd Shukran, Muhamad Naim Abdullah, Mohd Sidek Fadhil Mohd Yunus Journal of Materials Science and Chemical Engineering . 2021,第1期

机译：基于内容的图像检索（CBIR）使用颜色，纹理和形状特征的新方法
4. Content-Based Image Retrieval Using Color, Texture and Shape Features [C] . Alexey Ponomarev, Hitesh S. Nalamwar, llya Babakov International Conference for Young Scientists "High Technology: Research and Applications" . 2016

机译：基于内容的图像检索使用颜色，纹理和形状特征
5. Color, texture, and shape features for content-based image retrieval. [D] . She, Alfred Chia-Hwa. 1998

机译：颜色，纹理和形状特征，用于基于内容的图像检索。
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7. Content-Based Image Retrieval System Based on Fusion of Wavelet Transform, Texture and Shape Features [O] . Dannina Kishore, Chanamallu Srinivasa Rao 2021

机译：基于内容的基于小波变换，纹理和形状特征的图像检索系统
8. System for Indexing Multi-Spectral Satellite Images for Efficient Content-Based Retrieval [R] . Barros, J., French, J., Martin, W., 2003

机译：用于高效内容检索的多光谱卫星图像索引系统

Content-based lace fabric image retrieval system using texture and shape features

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