Texture recognition by using artificial neural network
This thesis describes the texture recognition by using the Artificial Neural Network (ANN). There are hard to understand on how to perform the texture recognition on any new set of image data. Therefore, to ease up the process on texture recognition, ANN has been chosen as the classifier to enhance...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2013
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| Online Access: | http://umpir.ump.edu.my/id/eprint/7243/ http://umpir.ump.edu.my/id/eprint/7243/ http://umpir.ump.edu.my/id/eprint/7243/1/Texture_recognition_by_using_artificial_neural_network.pdf |
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ump-7243 |
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eprints |
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ump-72432015-03-03T09:34:57Z http://umpir.ump.edu.my/id/eprint/7243/ Texture recognition by using artificial neural network Foong, Lee Sai QA Mathematics This thesis describes the texture recognition by using the Artificial Neural Network (ANN). There are hard to understand on how to perform the texture recognition on any new set of image data. Therefore, to ease up the process on texture recognition, ANN has been chosen as the classifier to enhance the process of the texture recognition. There are thirteen types of Brodatz textures are considered as the dataset for this research and five sets for each type texture with different level of histogram equalized, noise for the training dataset. Backpropagation algorithm is one of the methods for the ANN. After the feature is obtained from the dataset, the feature will be trained and classifier by using theBack-propagation algorithm. All in all, this project will tell us how the Back-propagation classifier help in texture recognition and how to increases the success rate in texture recognition. 2013 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7243/1/Texture_recognition_by_using_artificial_neural_network.pdf Foong, Lee Sai (2013) Texture recognition by using artificial neural network. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77108&theme=UMP2 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA Mathematics |
| spellingShingle |
QA Mathematics Foong, Lee Sai Texture recognition by using artificial neural network |
| description |
This thesis describes the texture recognition by using the Artificial Neural Network (ANN). There are hard to understand on how to perform the texture recognition on any new set of image data. Therefore, to ease up the process on texture recognition, ANN has been chosen as the classifier to enhance the process of the texture recognition. There are thirteen types of Brodatz textures are considered as the dataset for this research and five sets for each type texture with different level of histogram equalized, noise for the training dataset. Backpropagation algorithm is one of the methods for the ANN. After the feature is obtained from the dataset, the feature will be trained and classifier by using theBack-propagation algorithm. All in all, this project will tell us how the Back-propagation classifier help in texture recognition and how to increases the success rate in texture recognition. |
| format |
Undergraduates Project Papers |
| author |
Foong, Lee Sai |
| author_facet |
Foong, Lee Sai |
| author_sort |
Foong, Lee Sai |
| title |
Texture recognition by using artificial neural network |
| title_short |
Texture recognition by using artificial neural network |
| title_full |
Texture recognition by using artificial neural network |
| title_fullStr |
Texture recognition by using artificial neural network |
| title_full_unstemmed |
Texture recognition by using artificial neural network |
| title_sort |
texture recognition by using artificial neural network |
| publishDate |
2013 |
| url |
http://umpir.ump.edu.my/id/eprint/7243/ http://umpir.ump.edu.my/id/eprint/7243/ http://umpir.ump.edu.my/id/eprint/7243/1/Texture_recognition_by_using_artificial_neural_network.pdf |
| first_indexed |
2023-09-18T22:03:47Z |
| last_indexed |
2023-09-18T22:03:47Z |
| _version_ |
1777414572668354560 |