The analysis of shape-based, DWT and zernike moments feature extraction techniques for fasterner recognition using 10-fold cross validation multilayer perceptrons / N. D. Mustaffa Kamal, N. Jalil and H. Hashim
-This paper presents an analysis of three feature extraction techniques which are the shape-based, Zernike moments and Discrete Wavelet Transform for fastener recognition. RGB colour features are also added to these major feature extractors to enhance the classification result. The classifier used i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UiTM Press,
2016-12.
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| Subjects: | |
| Online Access: | Get fulltext View Fulltext in UiTM IR |