Siddhartha Bhattacharyya 
Hybrid Metaheuristics for Image Analysis [PDF ebook] 

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This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.

The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

€96.29
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Daftar Isi

Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms.- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation.- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers.- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm.- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization.- Image Segmentation Using Metaheuristic-Based Deformable Models.- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection.- Image Thresholding Based on Fuzzy Particle Swarm Optimization.- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.

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Bahasa Inggris ● Format PDF ● Halaman 256 ● ISBN 9783319776255 ● Ukuran file 11.0 MB ● Editor Siddhartha Bhattacharyya ● Penerbit Springer International Publishing ● Kota Cham ● Negara CH ● Diterbitkan 2018 ● Diunduh 24 bulan ● Mata uang EUR ● ID 6439609 ● Perlindungan salinan DRM sosial

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