Snake-based contour detection for objects with boundary concavities

Shin-Hyoung Kim; Ashraf M. Alattar; Jong-Whan Jang

doi:10.1117/1.2894148

1 March 2008 Snake-based contour detection for objects with boundary concavities

Shin-Hyoung Kim, Ashraf M. Alattar, Jong-Whan Jang

Author Affiliations +

Optical Engineering, Vol. 47, Issue 3, 037002 (March 2008). https://doi.org/10.1117/1.2894148

Abstract

We present a snake-based scheme for efficiently detecting contours of objects with complex boundary concavities. The proposed method is composed of two steps. First, the object's boundary is detected using the proposed snake model. Second, snake points are optimized by inserting new points and deleting unnecessary points to better describe the object's boundary. We use the Frenet formula to calculate the binormal vector at snake points and use the result to control the direction of movement for snake points near boundary concavities. The proposed algorithm can successfully extract objects with boundary concavities. Experimental results have shown that our algorithm produces more accurate segmentation results than the conventional algorithm.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Shin-Hyoung Kim, Ashraf M. Alattar, and Jong-Whan Jang "Snake-based contour detection for objects with boundary concavities," Optical Engineering 47(3), 037002 (1 March 2008). https://doi.org/10.1117/1.2894148

Published: 1 March 2008

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