NOISY TEXTURES DETECTION USING NEURAL NETWORK CLASSIFICATION
The possibility of detecting texture areas of the image distorted by an additive uncorrelated noise has been analyzed with help of the classifier based on neural network learning. We investigated the following sets of input parameters (attributes): relative local variance, Harris detector, simple te...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Aerospace University «Kharkiv Aviation Institute»
2016-09-01
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| Series: | Радіоелектронні і комп'ютерні системи |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/877 |