On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: A case study with fly wing images and breast cancer mammograms
In image analysis, orthogonal moments are useful mathematical transformations for creating new features from digital images. Moreover, orthogonal moment invariants produce image features that are resistant to translation, rotation, and scaling operations. Here, we show the result of a case study in...
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Main Authors: | Goh, Jia Yin, Khang, Tsung Fei |
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Format: | Article |
Published: |
2021
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Online Access: | http://eprints.um.edu.my/26239/ https://doi.org/10.7717/peerj-cs.698 |
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