article

Free access

Operations Useful for Similarity-Invariant Pattern Recognition

Author:

W. DoyleAuthors Info & Claims

Journal of the ACM (JACM), Volume 9, Issue 2

Pages 259 - 267

https://doi.org/10.1145/321119.321123

Published: 01 April 1962 Publication History

PDF eReader

References

[1]

ELIAS, PETER; GREY, DAVID S.; AND ROBINSON, DAVID Z. Fourier treatment of optical processes. J. Opt. Soc. Am. 42 (Feb. 1952), 127-134.

Google Scholar

[2]

KOVASZNAY, LESLIE S. G., AND ALI ARMAN. Optical autocorrelation measurement of two-dimensional random patterns. Rev. Sci. Instr. 28 (Oct. 1957), 793-797.

Google Scholar

[3]

CLOWES, M. B., AND PARKS, J. R., "A new technique in automatic character recognition. Comput. J. 4, (July 1961).

Google Scholar

Cited By

View all

Liang FLi QLi XLiu YWang W(2024)CAC: Confidence-Aware Co-Training for Weakly Supervised Crack SegmentationEntropy10.3390/e2604032826:4(328)Online publication date: 12-Apr-2024
https://doi.org/10.3390/e26040328
Wang HMu XZhou XYang Y(2024)Quantitative Determination of Partial Voxel Compositions with X-ray CT Image-Based Data-Constrained ModellingApplied Sciences10.3390/app1416740714:16(7407)Online publication date: 22-Aug-2024
https://doi.org/10.3390/app14167407
Lins RChaves Gde F. P e Silva GVieira Tda Silva Barboza RSimske S(2024)Competition on Binarizing Photographed Document Images 2024 Quality, Time and Space ReportProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3686793(1-12)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3686793
Show More Cited By

Index Terms

Operations Useful for Similarity-Invariant Pattern Recognition
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
    1. Image manipulation
2. Theory of computation
  1. Design and analysis of algorithms
    1. Data structures design and analysis
      1. Pattern matching

Recommendations

Generic radial orthogonal moment invariants for invariant image recognition

As the variation of parameters in Jacobi polynomial, Jacobi-Fourier moments can form various types of orthogonal moments: Legendre-Fourier moments, Orthogonal Fourier-Mellin moments, Zernike moments, pseudo-Zernike moments, and so on. In this paper, we ...
Invariant Image Recognition Using Radial Jacobi Moment Invariants
ICIG '11: Proceedings of the 2011 Sixth International Conference on Image and Graphics

As orthogonal moments in the polar coordinate, radial orthogonal moments such as Zernike, pseudo-Zernike and orthogonal Fourier-Mellin moments have been successfully used in the field of pattern recognition. However, the scale and rotation invariant ...
Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition

In this paper, the quaternion Bessel-Fourier moments are introduced. The significance of phase information in quaternion Bessel-Fourier moments is investigated and an accurate estimation method for rotation angle is described. Furthermore, a new set of ...

Comments

Information & Contributors

Information

Published In

Journal of the ACM Volume 9, Issue 2

April 1962

136 pages

ISSN:0004-5411

EISSN:1557-735X

DOI:10.1145/321119

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 1962

Published in JACM Volume 9, Issue 2

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

193
Total Citations
View Citations
1,594
Total Downloads

Downloads (Last 12 months)150
Downloads (Last 6 weeks)15

Reflects downloads up to 23 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Liang FLi QLi XLiu YWang W(2024)CAC: Confidence-Aware Co-Training for Weakly Supervised Crack SegmentationEntropy10.3390/e2604032826:4(328)Online publication date: 12-Apr-2024
https://doi.org/10.3390/e26040328
Wang HMu XZhou XYang Y(2024)Quantitative Determination of Partial Voxel Compositions with X-ray CT Image-Based Data-Constrained ModellingApplied Sciences10.3390/app1416740714:16(7407)Online publication date: 22-Aug-2024
https://doi.org/10.3390/app14167407
Lins RChaves Gde F. P e Silva GVieira Tda Silva Barboza RSimske S(2024)Competition on Binarizing Photographed Document Images 2024 Quality, Time and Space ReportProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3686793(1-12)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3686793
Munivel MEnigo V(2024)Performance of Binarization Algorithms on Tamizhi Inscription Images: An AnalysisACM Transactions on Asian and Low-Resource Language Information Processing10.1145/365658323:5(1-29)Online publication date: 10-May-2024
https://dl.acm.org/doi/10.1145/3656583
Lins RChaves GVieira TDa Silva Barboza R(2024)How to Choose a Binarization Algorithm for a Document Image?2024 37th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)10.1109/SIBGRAPI62404.2024.10716338(1-6)Online publication date: 30-Sep-2024
https://doi.org/10.1109/SIBGRAPI62404.2024.10716338
Mohammed AMihoub Z(2024)A Review of Image Segmentation Strategies from Classical Methods to Deep Learning2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon)10.1109/ElCon61730.2024.10468368(712-718)Online publication date: 29-Jan-2024
https://doi.org/10.1109/ElCon61730.2024.10468368
Frigau LConversano CAntoch J(2024)PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ imagesScientific Reports10.1038/s41598-024-56228-614:1Online publication date: 13-Mar-2024
https://doi.org/10.1038/s41598-024-56228-6
Günen MAtasever U(2024)Remote sensing and monitoring of water resources: A comparative study of different indices and thresholding methodsScience of The Total Environment10.1016/j.scitotenv.2024.172117926(172117)Online publication date: May-2024
https://doi.org/10.1016/j.scitotenv.2024.172117
Elen ADönmez E(2024)Histogram-based global thresholding method for image binarizationOptik10.1016/j.ijleo.2024.171814306(171814)Online publication date: Jul-2024
https://doi.org/10.1016/j.ijleo.2024.171814
Jiang ZLeung ALiu J(2024)Segmentation uncertainty of vegetated porous media propagates during X-ray CT image-based analysisPlant and Soil10.1007/s11104-024-07030-wOnline publication date: 9-Nov-2024
https://doi.org/10.1007/s11104-024-07030-w
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Index Terms

Recommendations

Generic radial orthogonal moment invariants for invariant image recognition

Invariant Image Recognition Using Radial Jacobi Moment Invariants

Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations