A contour-based shape descriptor for biomedical image classification and retrieval

Daekeun You; Sameer Antani; Dina Demner-Fushman; George R. Thoma

doi:10.1117/12.2042526

24 March 2014 A contour-based shape descriptor for biomedical image classification and retrieval

Daekeun You, Sameer Antani, Dina Demner-Fushman, George R. Thoma

Proceedings Volume 9021, Document Recognition and Retrieval XXI; 90210L (2014) https://doi.org/10.1117/12.2042526
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

Contours, object blobs, and specific feature points are utilized to represent object shapes and extract shape descriptors that can then be used for object detection or image classification. In this research we develop a shape descriptor for biomedical image type (or, modality) classification. We adapt a feature extraction method used in optical character recognition (OCR) for character shape representation, and apply various image preprocessing methods to successfully adapt the method to our application. The proposed shape descriptor is applied to radiology images (e.g., MRI, CT, ultrasound, X-ray, etc.) to assess its usefulness for modality classification. In our experiment we compare our method with other visual descriptors such as CEDD, CLD, Tamura, and PHOG that extract color, texture, or shape information from images. The proposed method achieved the highest classification accuracy of 74.1% among all other individual descriptors in the test, and when combined with CSD (color structure descriptor) showed better performance (78.9%) than using the shape descriptor alone.

Citation Download Citation

Daekeun You, Sameer Antani, Dina Demner-Fushman, and George R. Thoma "A contour-based shape descriptor for biomedical image classification and retrieval", Proc. SPIE 9021, Document Recognition and Retrieval XXI, 90210L (24 March 2014); https://doi.org/10.1117/12.2042526

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