Method for Semantic Image Segmentation Based on the Neural Network with Gabor Filters
This paper is devoted to the use of Gabor filters to improve the efficiency of convolutional neural networks (CNNs) in image analysis, namely, image segmentation. The use of Gabor filters as an adaptive component in initial CNN layers, which improves the extraction of texture and structural features...
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| Published in: | Programming and computer software 2025-06, Vol.51 (3), p.160-166 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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