Classification of Aggregates Using Basic Shape Parameters Through Neural Networks
In this paper, the aim is to classify natural or crushed aggregates by using concrete and asphalt mixes through Artificial Neural Networks. For classification, it was a used the feature vector which was calculated by using digital image processing techniques. Of the five different type coarse aggreg...
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Format: | Article |
Language: | English |
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Pamukkale University
2010-02-01
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Series: | Pamukkale University Journal of Engineering Sciences |
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Online Access: | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088727 |
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author | Mahmut SİNECEN Metehan MAKİNACI |
author_facet | Mahmut SİNECEN Metehan MAKİNACI |
author_sort | Mahmut SİNECEN |
collection | DOAJ |
description | In this paper, the aim is to classify natural or crushed aggregates by using concrete and asphalt mixes through Artificial Neural Networks. For classification, it was a used the feature vector which was calculated by using digital image processing techniques. Of the five different type coarse aggregates images were taken with 45o and 90o by a 10 Mp (Sony DSC-R1) and 7.1 Mp (Canon EOS 350D) camera. Aggregates images were processed and analyzed by using MATLAB Image Processing and Neural Network Toolbox. Classification process was made with totally 18 feature vectors, which is 9 vectors each angles, by neural network. Results showed image processing and neural networks which are important methods for founding shape parameters and classification of aggregates, and performance, cost and time consuming factors of automation systems in aggregate sources will be effective with these methods. |
first_indexed | 2024-04-10T14:24:51Z |
format | Article |
id | doaj.art-42e486c64827493082854fbf1e998a63 |
institution | Directory Open Access Journal |
issn | 1300-7009 2147-5881 |
language | English |
last_indexed | 2024-04-10T14:24:51Z |
publishDate | 2010-02-01 |
publisher | Pamukkale University |
record_format | Article |
series | Pamukkale University Journal of Engineering Sciences |
spelling | doaj.art-42e486c64827493082854fbf1e998a632023-02-15T16:09:09ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812010-02-011621491535000082796Classification of Aggregates Using Basic Shape Parameters Through Neural NetworksMahmut SİNECENMetehan MAKİNACIIn this paper, the aim is to classify natural or crushed aggregates by using concrete and asphalt mixes through Artificial Neural Networks. For classification, it was a used the feature vector which was calculated by using digital image processing techniques. Of the five different type coarse aggregates images were taken with 45o and 90o by a 10 Mp (Sony DSC-R1) and 7.1 Mp (Canon EOS 350D) camera. Aggregates images were processed and analyzed by using MATLAB Image Processing and Neural Network Toolbox. Classification process was made with totally 18 feature vectors, which is 9 vectors each angles, by neural network. Results showed image processing and neural networks which are important methods for founding shape parameters and classification of aggregates, and performance, cost and time consuming factors of automation systems in aggregate sources will be effective with these methods.http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088727Agrega, Görüntü işleme, Yapay sinir ağları. |
spellingShingle | Mahmut SİNECEN Metehan MAKİNACI Classification of Aggregates Using Basic Shape Parameters Through Neural Networks Pamukkale University Journal of Engineering Sciences Agrega, Görüntü işleme, Yapay sinir ağları. |
title | Classification of Aggregates Using Basic Shape Parameters Through Neural Networks |
title_full | Classification of Aggregates Using Basic Shape Parameters Through Neural Networks |
title_fullStr | Classification of Aggregates Using Basic Shape Parameters Through Neural Networks |
title_full_unstemmed | Classification of Aggregates Using Basic Shape Parameters Through Neural Networks |
title_short | Classification of Aggregates Using Basic Shape Parameters Through Neural Networks |
title_sort | classification of aggregates using basic shape parameters through neural networks |
topic | Agrega, Görüntü işleme, Yapay sinir ağları. |
url | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088727 |
work_keys_str_mv | AT mahmutsinecen classificationofaggregatesusingbasicshapeparametersthroughneuralnetworks AT metehanmakinaci classificationofaggregatesusingbasicshapeparametersthroughneuralnetworks |