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Coverage includes: level set methods for image segmentation and construction, denoising techniques, digital image inpainting, image dejittering, image registration, and fast numerical algorithms for solving these problems.
This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas.
Top 20 Essential Skills for Imagery and Remote Sensingguides readers step-by-step through interpreting imagery, creating imagery products, and performing various imagery analysis workflows.
This two-volume handbook provides a comprehensive view of texture analysis in both AI-based industrial and medical imaging applications.
Moon-based SAR expands our capabilities of watching and understanding the Earth. This book explains the Moon-Earth observation geometry,... Læs mere
This book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis.
This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis.
This volume focuses on relevant activities in three main subject areas: Healthcare and Emotion, Mental Health, and Nurse Care Records.