Comparative study of description algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods
The paper presents an analysis of various approaches to constructing descriptions for the gradient fields of digital images. The analyzed approaches are based on the well-known methods for data dimensionality reduction, such as Principal (PCA) and Independent (ICA) Component Analysis, Linear Discrim...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2018-10-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | http://computeroptics.smr.ru/KO/PDF/KO42-5/420513.pdf |