Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters
Abstract Image-analysis procedures have been developed for a simple PC-based system to evaluate the textural features of ice thin sections automatically. The method yields parameters that describe both ice crystals and pores in an objective, reproducible manner. Specimens are recorded in linearly an...
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Cambridge University Press (CUP)
1993
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Online Access: | http://dx.doi.org/10.1017/s0022143000016002 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016002 |
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crcambridgeupr:10.1017/s0022143000016002 2024-03-03T08:46:02+00:00 Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters Eicken, Hajo 1993 http://dx.doi.org/10.1017/s0022143000016002 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016002 en eng Cambridge University Press (CUP) Journal of Glaciology volume 39, issue 132, page 341-352 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 1993 crcambridgeupr https://doi.org/10.1017/s0022143000016002 2024-02-08T08:34:04Z Abstract Image-analysis procedures have been developed for a simple PC-based system to evaluate the textural features of ice thin sections automatically. The method yields parameters that describe both ice crystals and pores in an objective, reproducible manner. Specimens are recorded in linearly and circularly polarized light (ice grains) as well as in transmitted and incident plain light (pores) under standardized conditions. After preparative filtering, images are segmented through union of two Sobel-filtered images (ice crystals/grain boundaries) or through thresholding (ice crystals/pores). The quantification of texture is based on the evaluation of image contrast as well as on linear analysis and non-linear transforms to obtain information on grain-sizes and their distribution. In the study of ice pores, stereological effects of finite section thickness have to be corrected. The discussion focuses on errors involved in automated textural analysis and the glaciological yield of measured and derived parameters. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Sobel ENVELOPE(20.500,20.500,69.618,69.618) Journal of Glaciology 39 132 341 352 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
topic |
Earth-Surface Processes |
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Earth-Surface Processes Eicken, Hajo Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
topic_facet |
Earth-Surface Processes |
description |
Abstract Image-analysis procedures have been developed for a simple PC-based system to evaluate the textural features of ice thin sections automatically. The method yields parameters that describe both ice crystals and pores in an objective, reproducible manner. Specimens are recorded in linearly and circularly polarized light (ice grains) as well as in transmitted and incident plain light (pores) under standardized conditions. After preparative filtering, images are segmented through union of two Sobel-filtered images (ice crystals/grain boundaries) or through thresholding (ice crystals/pores). The quantification of texture is based on the evaluation of image contrast as well as on linear analysis and non-linear transforms to obtain information on grain-sizes and their distribution. In the study of ice pores, stereological effects of finite section thickness have to be corrected. The discussion focuses on errors involved in automated textural analysis and the glaciological yield of measured and derived parameters. |
format |
Article in Journal/Newspaper |
author |
Eicken, Hajo |
author_facet |
Eicken, Hajo |
author_sort |
Eicken, Hajo |
title |
Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
title_short |
Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
title_full |
Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
title_fullStr |
Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
title_full_unstemmed |
Automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
title_sort |
automated image analysis of ice thin sections — instrumentation, methods and extraction of stereological and textural parameters |
publisher |
Cambridge University Press (CUP) |
publishDate |
1993 |
url |
http://dx.doi.org/10.1017/s0022143000016002 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000016002 |
long_lat |
ENVELOPE(20.500,20.500,69.618,69.618) |
geographic |
Sobel |
geographic_facet |
Sobel |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology volume 39, issue 132, page 341-352 ISSN 0022-1430 1727-5652 |
op_doi |
https://doi.org/10.1017/s0022143000016002 |
container_title |
Journal of Glaciology |
container_volume |
39 |
container_issue |
132 |
container_start_page |
341 |
op_container_end_page |
352 |
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1792501837872496640 |