loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yu Wang 1 ; Chenbo Shi 2 ; Chun Zhang 2 and Qingmin Liao 1

Affiliations: 1 Tsinghua University, Shenzhen Key Lab. of Information Sci&Tech and Shenzhen Engineering Lab. of IS&DRM, China ; 2 Tsinghua University, China

ISBN: 978-989-758-089-5

Keyword(s): Computer Vision, Biscuit Inspection, Real-time, Unfolding Image, Feature Extraction, Polarized Image.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: This paper presents a computer vision system for biscuit defects inspection which contains both hardware and software. By utilizing the system with two cameras, we focus on the detection of biscuit partial deletion and cream overflow. For detecting partial deletion, a new algorithm with a membership function for calculating feature descriptor is proposed. It’s convenient and efficient to extract feature of textons. For cream overflow detection, a chemical property of enantiomers under polarized light is made use of distinguishing cream from background. The proposed system has been implemented on the production line. Groups of on-line experiments show that our system can achieve accurate defect detection with low missing detection rate and false alarm.

PDF ImageFull Text

Download
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 35.175.200.4

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:
Wang, Y.; Shi, C.; Zhang, C. and Liao, Q. (2015). A Real-time Computer Vision System for Biscuit Defect Inspection.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 531-536. DOI: 10.5220/0005306705310536

@conference{visapp15,
author={Yu Wang. and Chenbo Shi. and Chun Zhang. and Qingmin Liao.},
title={A Real-time Computer Vision System for Biscuit Defect Inspection},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={531-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306705310536},
isbn={978-989-758-089-5},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - A Real-time Computer Vision System for Biscuit Defect Inspection
SN - 978-989-758-089-5
AU - Wang, Y.
AU - Shi, C.
AU - Zhang, C.
AU - Liao, Q.
PY - 2015
SP - 531
EP - 536
DO - 10.5220/0005306705310536

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.