Boundary extracting algorithm using region growing and snake model

Jianlin Ma; Zhiming Cui; Jian Wu

doi:10.1117/12.748321

14 November 2007 Boundary extracting algorithm using region growing and snake model

Jianlin Ma, Zhiming Cui, Jian Wu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890J (2007) https://doi.org/10.1117/12.748321
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Boundary extracting and segmentation for ROI of medical image is an important prerequisite for analyzing, understanding and handling the images. Since snake model was proposed, it has been widely used at object contour detecting and tracking and the field of computer vision. In traditional algorithms, snake curve initialized manually was not accurate and the snake curve was easily attracted by the complex background, and its costing-time was so high. In order to overcome these shortcomings, this paper proposes a boundary extracting model based on region growing and snake model for medical images which have irregular region and complex features. Firstly, an improved adaptive region growing algorithm is used for boundary extracting approximately, then the region boundary is divided into four sub-boundaries, sample points in these boundaries, keep the points at large curvature position and balanceable between the sub-boundaries. Lastly, take these sampled points as the input of the contour searching and tracking in the snake model, and then improve and disperse inner and external energy function based on traditional snake model. The experimental results show that the new algorithm can detect the contour and deep boundary concavities of complex objects or malformed objects.

Citation Download Citation

Jianlin Ma, Zhiming Cui, and Jian Wu "Boundary extracting algorithm using region growing and snake model", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890J (14 November 2007); https://doi.org/10.1117/12.748321

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Medical imaging

Detection and tracking algorithms

Image processing algorithms and systems

Statistical modeling

Visual process modeling

Computer vision technology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years