Biologically Rationalized Computing Techniques For Image Processing Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hemanth, Jude (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Balas, Valentina Emilia (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Computational Vision and Biomechanics, 25
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Computational intelligence.; Artificial intelligence.; Biomedical engineering.; Signal, Image and Speech Processing.; Computational Intelligence.; Artificial Intelligence.; Biomedical Engineering and Bioengineering.

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...

Πίνακας περιεχομένων:

• 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 Colony Algorithms 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. .