Incorporating Orthogonal Moments in CNNs
Convolutional neural networks (CNNs) can accurately classify objects in images using convolutional layers that extract features from images. Features from images can also be extracted using image moments, such as Gabor and Zernike moments. The aim with this project was to evaluate the impact on the...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459518 |