Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2231-2234,2240

Study on feature points extraction and matching of stitch pattern

Yang Lei
Hu Hui
Zhou Jun
Key Laboratory of Testing Technology For Manufacturing Process, Southwest University of Science & Technology for Ministry of Education, Mianyang Sichuan 621010, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0268

Abstract

At present, the protection of finished embroidery patterns plays an important role in the study of digital preservation of embroidery heritage. However, the essence of embroidery culture is not only in the pattern, but also in the organic combination of stitching and pattern, which can better transmit the cultural characteristics of ethnic minorities. Therefore, finding a method to extract and match embroidery stitches and pattern features is an urgent problem for digital embroidery preservation. To address this problem, this paper proposed a feature extraction model by studying the commonly used embroidery needlework and feature extraction algorithms, with the guide filter as the scale transformation function. Traditional scale invariant feature transform(SIFT) was a basic model in this algorithm, which replaced the Gaussian scale transform function with guided filter function to enhance the algorithm response on edge pixels, so as to accurately extract the key features of the stitch pattern. Experiments show that the key features of the pattern is accurate at the edge of the pattern, and the matching accuracy can reach more than 88% on average, which is 7%~25% higher than the SIFT algorithm.

Foundation Support

四川省哲学社会科学重点研究项目(QXY201908)
四川省科技厅创业人才资助专项(2020JDRC0072)
四川省重点研发计划资助项目(2020YFS0360)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0268
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Graphic & Image
Pages: 2231-2234,2240
Serial Number: 1001-3695(2021)07-059-2231-04

Publish History

[2021-07-05] Printed Article

Cite This Article

杨蕾, 胡慧, 周军. 刺绣针法图样特征点提取及匹配方法研究 [J]. 计算机应用研究, 2021, 38 (7): 2231-2234,2240. (Yang Lei, Hu Hui, Zhou Jun. Study on feature points extraction and matching of stitch pattern [J]. Application Research of Computers, 2021, 38 (7): 2231-2234,2240. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)