Classification of natural rock images using classifier combinations

Leena Lepistö; Iivari Kunttu; Ari J. E. Visa

doi:10.1117/1.2354086

1 September 2006 Classification of natural rock images using classifier combinations

Leena Lepistö, Iivari Kunttu, Ari J. E. Visa

Author Affiliations +

Optical Engineering, Vol. 45, Issue 9, 097201 (September 2006). https://doi.org/10.1117/1.2354086

Abstract

Classifier combinations can be used to improve the accuracy of demanding image classification tasks. Using combined classifiers, nonhomogenous images with noisy and overlapping feature distributions can be accurately classified. This can be made by classifying each visual descriptor first individually and combining the separate classification results in a final classification. We present an approach to combine classifiers in image classification. In this method, the probability distributions provided by separate base classifiers are combined into a classification probability vector (CPV) that is used as a feature vector in the final classification. The proposed classifier combination strategy is applied to the classification of natural rock images. The results show that the proposed method outperforms other commonly used probability-based classifier combination strategies in the classification of rock images.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Leena Lepistö, Iivari Kunttu, and Ari J. E. Visa "Classification of natural rock images using classifier combinations," Optical Engineering 45(9), 097201 (1 September 2006). https://doi.org/10.1117/1.2354086

Published: 1 September 2006

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