Bio-inspired computation and applications in image processing
"Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and...
| Other Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boston, Massachusetts :
Elsevier
c2016
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| Subjects: |
Table of Contents:
- 1. Bio-inspired computation and its applications in image processing: an overview
- 2. Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization
- 3. Fine-tuning deep belief networks using cuckoo search
- 4. Improved weighted thresholded histogram equalization algorithm for digital image contrast enhancement using
- 5. Ground-glass opacity nodules detection and segmentation using the snake model
- 7. Mobile object tracking using the modified cuckoo search
- 7. Toward optimal watermarking of grayscale images using the multiple scaling factor-based cuckoo search technique
- 8. Bat algorithm-based automatic clustering method and its application in image processing
- 9. Multitemporal remote sensing image classification by nature-inspired techniques
- 10. Firefly algorithm for optimized nonrigid demons registration
- 11. Minimizing the mode-change letency in real-time image processing applications
- 12. Learning OWA filters parameters for SAR imagery with multiple polarizations
- 13. Oil reservoir quality assisted by machine learning and evolutionary
- 14. Solving imbalanced dataset problems for high-dimensional image processing by swarm optimization
- 15. Retinal image vasculature analysis software (RIVAS)