Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization

Leandro A. Silva; Emilio del-Moral-Hernandez; Ramon A. Moreno; Sérgio S. Furuie

doi:10.1117/1.3645598

1 October 2011 Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization

Leandro A. Silva, Emilio del-Moral-Hernandez, Ramon A. Moreno, Sérgio S. Furuie

Author Affiliations +

Journal of Electronic Imaging, Vol. 20, Issue 4, 043002 (October 2011). https://doi.org/10.1117/1.3645598

Abstract

Images are fundamental sources of information in modern medicine. The images stored in a database and divided in categories are an important step for image retrieval. For an automatic categorization process, detailed analysis is done regarding image representation and generalization method. The baseline method for this process, in the medical image context, is using thumbnails and K-nearest neighbor (KNN), which is easily implemented and has had satisfactory results in literature. This work addresses an alternative method for automatic categorization, which jointly uses discrete wavelet transform with Hu's moments for image representation and self-organizing maps (SOM) neural networks combined with the KNN classifier (SOM-KNN), for medical image categorization. Furthermore, extensive experiments are conducted, to define the best wavelet family and to select the best coefficients set, to consider the remaining wavelet coefficients set (not selected as the best ones) through their Hu's moments, and to carry out a contrastive study with other successful approaches for categorization. The categorization result from a database with 10,000 images in 116 categories yielded 81.8% of correct rate, which is much better than the 67.9% obtained by the baseline method; and the time consumed in classification processing with SOM-KNN is 100 times shorter than KNN.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Leandro A. Silva, Emilio del-Moral-Hernandez, Ramon A. Moreno, and Sérgio S. Furuie "Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization," Journal of Electronic Imaging 20(4), 043002 (1 October 2011). https://doi.org/10.1117/1.3645598

Published: 1 October 2011

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