A colour-based building recognition using support vector machine
Many applications apply the concept of image recognition to help human in recognising objects simply by just using digital images. A content-based building recognition system could solve the problem of using just text as search input. In this paper, a building recognition system using colour histogr...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Engineering and Science (IAES)
2019
|
Online Access: | http://psasir.upm.edu.my/id/eprint/80389/1/COLOUR.pdf http://psasir.upm.edu.my/id/eprint/80389/ http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11609/6169 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.upm.eprints.80389 |
---|---|
record_format |
eprints |
spelling |
my.upm.eprints.803892020-11-10T07:15:52Z http://psasir.upm.edu.my/id/eprint/80389/ A colour-based building recognition using support vector machine Mustaffa, Mas Rina Nasharuddin, Nurul Amelina Abdullah, Lili Nurliyana Loh, Weng Yee Many applications apply the concept of image recognition to help human in recognising objects simply by just using digital images. A content-based building recognition system could solve the problem of using just text as search input. In this paper, a building recognition system using colour histogram is proposed for recognising buildings in Ipoh city, Perak, Malaysia. The colour features of each building image will be extracted. A feature vector combining the mean, standard deviation, variance, skewness and kurtosis of gray level will be formed to represent each building image. These feature values are later used to train the system using supervised learning algorithm, which is Support Vector Machine (SVM). Lastly, the accuracy of the recognition system is evaluated using 10-fold cross validation. The evaluation results show that the building recognition system is well trained and able to effectively recognise the building images with low misclassification rate. Institute of Advanced Engineering and Science (IAES) 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/80389/1/COLOUR.pdf Mustaffa, Mas Rina and Nasharuddin, Nurul Amelina and Abdullah, Lili Nurliyana and Loh, Weng Yee (2019) A colour-based building recognition using support vector machine. Telkomnika, 17 (1). pp. 473-480. ISSN 1693-6930; ESSN: 2087278X http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11609/6169 10.12928/telkomnika.v17i1.11609 |
institution |
Universiti Putra Malaysia |
building |
UPM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Putra Malaysia |
content_source |
UPM Institutional Repository |
url_provider |
http://psasir.upm.edu.my/ |
language |
English |
description |
Many applications apply the concept of image recognition to help human in recognising objects simply by just using digital images. A content-based building recognition system could solve the problem of using just text as search input. In this paper, a building recognition system using colour histogram is proposed for recognising buildings in Ipoh city, Perak, Malaysia. The colour features of each building image will be extracted. A feature vector combining the mean, standard deviation, variance, skewness and kurtosis of gray level will be formed to represent each building image. These feature values are later used to train the system using supervised learning algorithm, which is Support Vector Machine (SVM). Lastly, the accuracy of the recognition system is evaluated using 10-fold cross validation. The evaluation results show that the building recognition system is well trained and able to effectively recognise the building images with low misclassification rate. |
format |
Article |
author |
Mustaffa, Mas Rina Nasharuddin, Nurul Amelina Abdullah, Lili Nurliyana Loh, Weng Yee |
spellingShingle |
Mustaffa, Mas Rina Nasharuddin, Nurul Amelina Abdullah, Lili Nurliyana Loh, Weng Yee A colour-based building recognition using support vector machine |
author_facet |
Mustaffa, Mas Rina Nasharuddin, Nurul Amelina Abdullah, Lili Nurliyana Loh, Weng Yee |
author_sort |
Mustaffa, Mas Rina |
title |
A colour-based building recognition using support vector machine |
title_short |
A colour-based building recognition using support vector machine |
title_full |
A colour-based building recognition using support vector machine |
title_fullStr |
A colour-based building recognition using support vector machine |
title_full_unstemmed |
A colour-based building recognition using support vector machine |
title_sort |
colour-based building recognition using support vector machine |
publisher |
Institute of Advanced Engineering and Science (IAES) |
publishDate |
2019 |
url |
http://psasir.upm.edu.my/id/eprint/80389/1/COLOUR.pdf http://psasir.upm.edu.my/id/eprint/80389/ http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11609/6169 |
_version_ |
1683232223735578624 |
score |
13.211869 |