Semiautomatic classification of cementitious materials using scanning electron microscope images

Lucas Drumetz; Mauro D. Mura; Samuel Meulenyzer; Sébastien Lombard; Jocelyn Chanussot

doi:10.1117/1.JEI.24.6.061109

12 November 2015 Semiautomatic classification of cementitious materials using scanning electron microscope images

Lucas Drumetz, Mauro D. Mura, Samuel Meulenyzer, Sébastien Lombard, Jocelyn Chanussot

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 6, 061109 (November 2015). https://doi.org/10.1117/1.JEI.24.6.061109

Abstract

Segmentation and classification are prolific research topics in the image processing community. These topics have been increasingly used in the context of analysis of cementitious materials on images acquired with a scanning electron microscope. Indeed, there is a need to be able to detect and to quantify the materials present in a cement paste in order to follow the chemical reactions occurring in the material even days after the solidification. We propose a new approach for segmentation and classification of cementitious materials based on the denoising of the data with a block-matching three-dimensional (3-D) algorithm, binary partition tree (BPT) segmentation, support vector machines (SVM) classification, and interactivity with the user. The BPT provides a hierarchical representation of the spatial regions of the data, allowing a segmentation to be selected among the admissible partitions of the image. SVMs are used to obtain a classification map of the image. This approach combines state-of-the-art image processing tools with user interactivity to allow a better segmentation to be performed, or to help the classifier discriminate the classes better. We show that the proposed approach outperforms a previous method when applied to synthetic data and several real datasets coming from cement samples, both qualitatively with visual examination and quantitatively with the comparison of experimental results with theoretical ones.

Citation Download Citation

Lucas Drumetz, Mauro D. Mura, Samuel Meulenyzer, Sébastien Lombard, and Jocelyn Chanussot "Semiautomatic classification of cementitious materials using scanning electron microscope images," Journal of Electronic Imaging 24(6), 061109 (12 November 2015). https://doi.org/10.1117/1.JEI.24.6.061109

Published: 12 November 2015

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