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

被引：7
|
作者：
Li, Yueyang [1 ]
Luo, Haichi [2 ]
Jiang, Gaoming [1 ]
Cong, Honglian [1 ]
机构：
[1] Jiangnan Univ, Minist Educ, Engn Res Ctr Knitting Technol, 1800 Lihu Ave, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi, Peoples R China
来源：
JOURNAL OF THE TEXTILE INSTITUTE | 2019年 / 110卷 / 06期
关键词：
Content-based image retrieval; lace fabric; feature extraction;
D O I：
10.1080/00405000.2018.1532782
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
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.
引用
收藏
页码：911 / 915
页数：5
相关论文
共 50 条
  • [21] Content based image retrieval using color, texture and shape features
    Hiremath, P. S.
    Pujari, Jagadeesh
    [J]. ADCOM 2007: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, 2007, : 780 - 784
  • [22] Content-based image retrieval by integrating color and texture features
    Wang, Xiang-Yang
    Zhang, Bei-Bei
    Yang, Hong-Ying
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 68 (03) : 545 - 569
  • [23] Color and Texture Features Extraction on Content-based Image Retrieval
    Putri, Rahmaniansyah Dwi
    Prabawa, Harsa Wara
    Wihardi, Yaya
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON SCIENCE IN INFORMATION TECHNOLOGY (ICSITECH), 2017, : 711 - 715
  • [24] Content-based image retrieval by integrating color and texture features
    Xiang-Yang Wang
    Bei-Bei Zhang
    Hong-Ying Yang
    [J]. Multimedia Tools and Applications, 2014, 68 : 545 - 569
  • [25] Content-based image retrieval using local texture features in distributed environment
    Raju, U. S. N.
    Kumar, Suresh K.
    Haran, Pulkesh
    Boppana, Ramya Sree
    Kumar, Niraj
    [J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 18 (01)
  • [26] Content Based Image Retrieval System based on Semantic Information Using Color, Texture and Shape Features
    Anandh, A.
    Mala, K.
    Suganya, S.
    [J]. 2016 INTERNATIONAL CONFERENCE ON COMPUTING TECHNOLOGIES AND INTELLIGENT DATA ENGINEERING (ICCTIDE'16), 2016,
  • [27] Integrated color, texture and shape information for content-based image retrieval
    Ryszard S. Choraś
    Tomasz Andrysiak
    Michał Choraś
    [J]. Pattern Analysis and Applications, 2007, 10 : 333 - 343
  • [28] Integrated color, texture and shape information for content-based image retrieval
    Choras, Ryszard S.
    Andrysiak, Tomasz
    Choras, Michal
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2007, 10 (04) : 333 - 343
  • [29] Content-based image retrieval system using ORB and SIFT features
    Payal Chhabra
    Naresh Kumar Garg
    Munish Kumar
    [J]. Neural Computing and Applications, 2020, 32 : 2725 - 2733
  • [30] Combined texture and Shape Features for Content Based Image Retrieval
    Daisy, M. Mary Helta
    TamilSelvi, S.
    Mol, J. S. Ginu
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 912 - 916
12345