Applications of Hybrid Metaheuristic Algorithms for Image Processing

Häftad, Engelska, 2021

Del i serien Studies in Computational Intelligence

1 702 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book presents a collection of the most recent hybrid methods for image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence.

Produktinformation

Utgivningsdatum:2021-03-28
Mått:155 x 235 x 28 mm
Vikt:756 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:490
Förlag:Springer Nature Switzerland AG
ISBN:9783030409791

Utforska kategorier

Innehållsförteckning

Segmentation Of Thermal Images By Means Of Metaheuristic Algorithms, For Failure Detection And Preventive Maintenance Of Electronic Systems.- A Survey on Image Processing for Hyperspectral and Remote Sensing Images.- Hybrid Grey-Wolf Optimizer Based Fractional Order Optimal Filtering for Texture Aware Quality Enhancement for Remotely Sensed Images.- Robust K- Means Technique For Band Reduction On Hyperspectral Image Segmentation.- Ethnic Characterization In Amalgamated People For Airport Security Using A Repository Of Images And Pigeon-Inspired Optimization (Pio) Algorithm For The Improvement Of Their Results}.- Multi-Level Image Thresholding Segmentation Using Non-Local Means 2d Histogram And Metaheuristics Algorithms.- Comparison Of Metaheuristic Methods For Template Matching.- Novel Feature Extraction Strategies Supporting 2d Shape Description And Retrieval.- Clustering Data Using Techniques Of Image Processing Erode And Dilate To Avoid The Use Of Euclidian Distance.- Estimation OfThe Homography Matrix To Image Stitching.- Active Contour Model in Deep Learning Era: A Revise and Review.- Comparison of Evolutionary Techniques for Car Accident Prediction.- Salp Swarm Algorithm: A Comprehensive Review.- Segmentation Of Magnetic Resonance Brain Images Through The Self-Adaptive Differential Evolution Algorithm And The Minimum Cross-Entropy Criterion.- Automatic Detection Of Malignant Masses In Digital Mammograms Based On A Mcet-Hho Approach.- Cancer Cell Prediction using Machine Learning and Evolutionary Algorithms.- Meta Heuristic Approach of RMDL Classification of Parkinson's disease.- Fuzzy- Crow Search Optimization for Medical Image Segmentation.- Intelligent System For The Visual Support Of Caloric Intake Of Food In Inhabitants Of A Smart City Using A Deep Learning Model.- Image Thresholding with Metaheuristic Algorithms for Cerebral Injuries.- Generative Adversarial Network And Retinal Image Segmentation.