An adaptive morphology template methods for correcting lung juxtapleural nodules regions in CT images

Changli Feng; Haiyan Wei; Xin Li; Zhaogui Ma; Sai Qiao; Deyun Yang

doi:10.1117/12.2557222

3 January 2020 An adaptive morphology template methods for correcting lung juxtapleural nodules regions in CT images

Changli Feng, Haiyan Wei, Xin Li, Zhaogui Ma, Sai Qiao, Deyun Yang

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113731X (2020) https://doi.org/10.1117/12.2557222
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Lung juxtapleural nodule regions are often excluded from the extracted lung region by the intensity information-based methods. In order to solve this problem, an adaptive morphology template method is proposed. First of all, the SIFT information is used to extract some feature points in the borderline. Then, the Fourier descriptor is introduced to identify those juxtapleural nodule regions from all borderline sections. Finally, adaptive morphology templates are used to correct the recognized region. Through the experiments on real CT slices, perfect correction effect proves that the proposed model has a good power of re-correction for CT images.

Citation Download Citation

Changli Feng, Haiyan Wei, Xin Li, Zhaogui Ma, Sai Qiao, and Deyun Yang "An adaptive morphology template methods for correcting lung juxtapleural nodules regions in CT images", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113731X (3 January 2020); https://doi.org/10.1117/12.2557222

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