Detection of junction in images

Yong Li; Robert L. Stevenson; Jiading Gai

doi:10.1117/12.704342

27 February 2007 Detection of junction in images

Yong Li, Robert L. Stevenson, Jiading Gai

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 649705 (2007) https://doi.org/10.1117/12.704342
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

This paper proposes a junction detection method that detects junctions as those points where edges join or intersect. The edges that form a junction are searched in a square neighbourhood, and the subtended angles among them are calculated by using edge orientations. Local edge orientation at a pixel is estimated by utilizing those edge points close to the pixel. Based on the subtended angles, the pixel is determined to be a junction candidate or not. Each actual junction is accurately localized by suppressing the candidates of non-minimum orientation difference. The proposed method analyzes real cases of extracted edges, and estimates the change of orientations of edge segments in digital fields. The experimental results show that the proposed algorithm can robustly detect junctions in digital images.

Citation Download Citation

Yong Li, Robert L. Stevenson, and Jiading Gai "Detection of junction in images", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649705 (27 February 2007); https://doi.org/10.1117/12.704342

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available