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Biologically Rationalized Computing Techniques For Image Processing Applications
This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired meth...
| Müşterek Yazar: | |
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| Diğer Yazarlar: | , |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edisyon: | 1st ed. 2018. |
| Seri Bilgileri: | Lecture Notes in Computational Vision and Biomechanics,
25 |
| Konular: | |
| Online Erişim: | Full-text access |
İçindekiler:
- Artifical Bee Colony Algorithm for Classification of Semi-Urban LU/LC Features Using High Resolution Satellite Data.- Saliency Based Image Compression Using Walsh-Hadamard Transform (WHT).- Object trajectory prediction with scarce environment information.- A Two-fold Subspace Learning Based Feature Fusion Strategy for Classification of EMG and EMG spectrogram Images.- Automatic Detection of Brain Strokes in CT Images using Soft Computing Techniques.- A survey on Intelligence based biometric techniques for authentication applications.- Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data.- Deep Learning Techniques for Breast Cancer Detection using Medical Images Analysis.- A Tour towards the development of various Techniques for Paralysis Detection using Image Processing.- Chlorella - Algae Image Analysis using Artificial Neural Network and Deep Learning.- Review on Image Enhancement Techniques using Biologically Inspired Artificial Bee ColonyAlgorithms and its variants.- Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing
- Histopathological Image Analysis for the Grade Identification of Tumor
- Super Resolution via Particle Swarm Optimization Variants. .