Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: H. Waruna H. Premachandra 1 ; Chinthaka Premachandra 2 ; Chandana Dinesh Parape 3 and Hiroharu Kawanaka 4

Affiliations: 1 Wayamba University of Srilanka, Sri Lanka ; 2 Tokyo University of Science, Japan ; 3 Kyoto University, Japan ; 4 Mie University, Japan

Keyword(s): Line Detection, Hough Space Minimization, Large Document Image, Parallel Pixel Scanning, Speed-up Image Processing.

Abstract: Hough transform (HT) is typically used to detect lines in images, but that method is slow due to its use of voting-based parameter detection; detecting lines in large document images can take dozens of minutes. Nonetheless HT is very effective at detecting lines, so we investigate methods for fast HT-based line detection of large document images by minimizing Hough space processing and reducing the image area used for line detection with parallel pixel scanning and local image domain analysis. We conduct experiments to confirm the effectiveness of the proposed method using appropriate large documents images. The results show a significant computational time reduction as compared to conventional methods.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Premachandra, H. W. H., Premachandra, C., Parape, C. D. and Kawanaka, H. (2016). Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 765-769. DOI: 10.5220/0005840707650769

@conference{vision4hci16,
author={H. Waruna H. Premachandra and Chinthaka Premachandra and Chandana Dinesh Parape and Hiroharu Kawanaka},
title={Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI},
year={2016},
pages={765-769},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005840707650769},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISION4HCI
TI - Speed-up Line Detection Approach for Large-size Document Images by Parallel Pixel Scanning and Hough Space Minimization
SN - 978-989-758-175-5
IS - 2184-4321
AU - Premachandra, H.
AU - Premachandra, C.
AU - Parape, C.
AU - Kawanaka, H.
PY - 2016
SP - 765
EP - 769
DO - 10.5220/0005840707650769
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic