Closed Contour Extraction based on Structural Models and Their Likelihood Analysis

Jiayin Liu, Yuan Wu

2017

Abstract

In this paper, we describe a new algorithm for extracting closed contours inside images by introducing three basic structural models to describe all potentially closed contour candidates and their likelihood analysis to eliminate pixels of non-closed contours. To further enhance the performance of its closed contour extraction, a post processing method based on edge intensity analysis is also added to the proposed algorithm to reduce the false positives. To illustrate its effectiveness and efficiency, we applied the proposed algorithm to the casting defect detection problem and carried out extensive experiments organized in three phases. The results support that the proposed algorithm outperforms the existing representative techniques in extracting closed contours for a range of images, including artificial images, standard casting defect images from ASTM (American Society for Testing and Materials) and real casting defect images collected directly from industrial lines. Experimental results also illustrate that the proposed algorithm achieve certain level of robustness in casting defect detection under noise environment.

Paper Citation

in Harvard Style

Liu J. and Wu Y. (2017). Closed Contour Extraction based on Structural Models and Their Likelihood Analysis.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 40-49. DOI: 10.5220/0006480700400049

in Bibtex Style

@conference{kdir17,
author={Jiayin Liu and Yuan Wu},
title={Closed Contour Extraction based on Structural Models and Their Likelihood Analysis},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={40-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006480700400049},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Closed Contour Extraction based on Structural Models and Their Likelihood Analysis
SN - 978-989-758-271-4
AU - Liu J.
AU - Wu Y.
PY - 2017
SP - 40
EP - 49
DO - 10.5220/0006480700400049