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Image Analysis and Recognition

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Cover of 'Image Analysis and Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Projection Selection for Binary Tomographic Reconstruction Using Global Uncertainty
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    Chapter 2 Reconstruction of Binary Images with Fixed Number of Strips
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    Chapter 3 Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization
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    Chapter 4 A Flexible Statistical Model for Image Denoising
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    Chapter 5 Towards Automatic Calibration of Dotblot Images
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    Chapter 6 Improving Picture Quality with Photo-Realistic Style Transfer
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    Chapter 7 K-Means Color Image Quantization with Deterministic Initialization: New Image Quality Metrics
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    Chapter 8 Singular Value Decomposition in Image Compression and Blurred Image Restoration
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    Chapter 9 Fully Convolutional Neural Network for Lungs Segmentation from Chest X-Rays
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    Chapter 10 DTI Segmentation Using Anisotropy Preserving Quaternion Based Distance Measure
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    Chapter 11 Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut Segmentation of Lumbar Vertebrae from CT Images
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    Chapter 12 Pixel-Based Leaf Segmentation from Natural Vineyard Images Using Color Model and Threshold Techniques
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    Chapter 13 Handling Specularity in Intrinsic Image Decomposition
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    Chapter 14 An Improvement on GrabCut with CLAHE for the Segmentation of the Objects with Ambiguous Boundaries
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    Chapter 15 A Computational Model of Multi-scale Spatiotemporal Attention in Video Data
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    Chapter 16 Feature Selection for Big Visual Data: Overview and Challenges
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    Chapter 17 Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography
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    Chapter 18 Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter Learning
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    Chapter 19 Emotional Faces in the Wild: Feature Descriptors for Emotion Classification
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    Chapter 20 From Windows to Logos: Analyzing Outdoor Images to Aid Flyer Classification
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    Chapter 21 Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks
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    Chapter 22 Emotion Assessment Using Adaptive Learning-Based Relevance Analysis
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    Chapter 23 Improved Edge Detection Algorithms Based on a Riesz Fractional Derivative
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    Chapter 24 Facial Expression Based Emotion Recognition Using Neural Networks
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    Chapter 25 Robust Detection of Water Sensitive Papers
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    Chapter 26 Classification of Icon Type and Cooldown State in Video Game Replays
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    Chapter 27 Multimodal Deep Learning for Robust Recognizing Maritime Imagery in the Visible and Infrared Spectrums
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    Chapter 28 Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering
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    Chapter 29 Interactive Photo Liveness for Presentation Attacks Detection
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    Chapter 30 GIF Image Retrieval in Cloud Computing Environment
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    Chapter 31 Saliency-Based Image Object Indexing and Retrieval
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    Chapter 32 Mobile-Based Painting Photo Retrieval Using Combined Features
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    Chapter 33 Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review
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    Chapter 34 A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis
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    Chapter 35 Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion
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    Chapter 36 Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras
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    Chapter 37 The Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber’s Models of Perception
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    Chapter 38 ShadowNet
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    Chapter 39 Contrast Perception Across Human Cognitive Style
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    Chapter 40 Vegetation Index Estimation from Monospectral Images
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    Chapter 41 Detection of Aruco Markers Using the Quadrilateral Sum Conjuncture
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    Chapter 42 Human Action Recognition Using Fusion of Depth and Inertial Sensors
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    Chapter 43 Slope Pattern Spectra for Human Action Recognition
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    Chapter 44 Recognition of Activities of Daily Living from Egocentric Videos Using Hands Detected by a Deep Convolutional Network
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    Chapter 45 Sign Language Recognition Based on 3D Convolutional Neural Networks
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    Chapter 46 Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM
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    Chapter 47 Real-Time Multispectral Pedestrian Detection with a Single-Pass Deep Neural Network
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    Chapter 48 Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments
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    Chapter 49 Sleep Deprivation Detection for Real-Time Driver Monitoring Using Deep Learning
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    Chapter 50 Transfer Learning Based Strategy for Improving Driver Distraction Recognition
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    Chapter 51 Vehicle Detection in Infrared Imagery Using Neural Networks with Synthetic Training Data
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    Chapter 52 A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees
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    Chapter 53 Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings
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    Chapter 54 A Fast and Robust Approach for Touching Grains Segmentation
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    Chapter 55 Quantification and Prediction of Damage in SAM Images of Semiconductor Devices
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    Chapter 56 Automatic Cartoon Face Composition Using Caricature Traits
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    Chapter 57 Automatic Text Extraction from Arabic Newspapers
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    Chapter 58 Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion Segmentation in Dermoscopy Images
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    Chapter 59 Transfer Learning of Spectrogram Image for Automatic Sleep Stage Classification
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    Chapter 60 A Kernelized Morphable Model for 3D Brain Tumor Analysis
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    Chapter 61 Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique
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    Chapter 62 Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
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    Chapter 63 A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies
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    Chapter 64 Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-Flow and Min-Cuts Approach
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    Chapter 65 Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier
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    Chapter 66 Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole Slide Images
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    Chapter 67 Vessel Preserving CNN-Based Image Resampling of Retinal Images
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    Chapter 68 Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context
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    Chapter 69 Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus
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    Chapter 70 Retinal Image Synthesis for CAD Development
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    Chapter 71 Deep Convolutional Artery/Vein Classification of Retinal Vessels
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    Chapter 72 Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels
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    Chapter 73 Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes
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    Chapter 74 Construction of a Retinal Atlas for Macular OCT Volumes
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    Chapter 75 Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network
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    Chapter 76 Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study
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    Chapter 77 Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network
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    Chapter 78 Hybrid Statistical Framework for Diabetic Retinopathy Detection
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    Chapter 79 BIOMISA Retinal Image Database for Macular and Ocular Syndromes
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    Chapter 80 Automatic Detection and Characterization of Biomarkers in OCT Images
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    Chapter 81 Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
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    Chapter 82 Towards Interactive Breast Tumor Classification Using Transfer Learning
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    Chapter 83 Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
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    Chapter 84 Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling
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    Chapter 85 Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion
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    Chapter 86 Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2
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    Chapter 87 Multi-classification of Breast Cancer Histology Images by Using a Fine-Tuning Strategy
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    Chapter 88 Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images
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    Chapter 89 Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images
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    Chapter 90 Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification
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    Chapter 91 Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural Networks
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    Chapter 92 Classification of Breast Cancer Histology Images Using Transfer Learning
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    Chapter 93 Candy Cane: Breast Cancer Pixel-Wise Labeling with Fully Convolutional Densenets
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    Chapter 94 Breast Cancer Histology Image Classification Based on Deep Neural Networks
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    Chapter 95 Classification of Breast Cancer Histology Using Deep Learning
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    Chapter 96 Breast Cancer Microscope Image Classification Based on CNN with Image Deformation
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    Chapter 97 Convolutional Capsule Network for Classification of Breast Cancer Histology Images
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    Chapter 98 Ensemble Network for Region Identification in Breast Histopathology Slides
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    Chapter 99 Classification Of Breast Cancer Histology Images Using ALEXNET
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    Chapter 100 Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation
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    Chapter 101 Automatic Breast Cancer Grading of Histological Images Based on Colour and Texture Descriptors
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    Chapter 102 Micro and Macro Breast Histology Image Analysis by Partial Network Re-use
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    Chapter 103 Assessment of Breast Cancer Histology Using Densely Connected Convolutional Networks
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    Chapter 104 Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification
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    Chapter 105 Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected Network
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    Chapter 106 Multiclass Classification of Breast Cancer in Whole-Slide Images
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Title
Image Analysis and Recognition
Published by
Springer International Publishing, June 2018
DOI 10.1007/978-3-319-93000-8
ISBNs
978-3-31-992999-6, 978-3-31-993000-8
Editors

Aurélio Campilho, Fakhri Karray, Bart ter Haar Romeny

X Demographics

X Demographics

The data shown below were collected from the profiles of 96 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 26%
Student > Ph. D. Student 11 13%
Student > Bachelor 9 11%
Researcher 5 6%
Student > Postgraduate 4 5%
Other 9 11%
Unknown 25 29%
Readers by discipline Count As %
Computer Science 30 35%
Engineering 19 22%
Agricultural and Biological Sciences 3 4%
Medicine and Dentistry 3 4%
Energy 1 1%
Other 3 4%
Unknown 26 31%