Image and Signal Processing

Name: Image and Signal Processing | 8th International Conference, ICISP 2018, Cherbourg, France, July 2-4, 2018, Proceedings
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8th International Conference, ICISP 2018, Cherbourg, France, July 2-4, 2018, Proceedings

Alamin Mansouri Abderrahim El Moataz Fathallah Nouboud Driss Mammass(Editor)

Springer (Publisher)

Published on 29. June 2018

XVI, 547 pages

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978-3-319-94211-7 (ISBN)

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Content

Intro
Preface
Organization
Contents
Image and Video Processing and Applications
An Image Processing Method Based on Features Selection for Crop Plants and Weeds Discrimination Using RGB Images
1 Introduction
2 Image Acquisition and Processing for the Selection of Vegetation Objects
3 Support Vector Machines (SVMs) Classification Method
4 Performance of the SVMs Classification Method Evaluated on a Training Dataset
5 Application of the SVMs Classification Method on a Test Dataset
6 Conclusion
References
Benchmarking Saliency Detection Methods on Multimodal Image Data
1 Introduction
2 Literature Survey
3 Data, Experiments and Results
3.1 Data
3.2 Experiments and Results
4 Discussion and Conclusion
References
Human Dendritic Cells Segmentation Based on K-Means and Active Contour
Abstract
1 Introduction
2 Proposed Approach
2.1 Image Preprocessing
2.2 Dendritic Cells Detection
2.3 Cells Segmentation
3 Experiments and Discussion
4 Conclusions
References
Image Denoising Using Collaborative Patch-Based and Local Methods
1 Introduction
2 The Proposed Model
2.1 MDL for 2 Estimation
3 Experimental Results and Concluding Remarks
4 Appendix
References
Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation
1 Introduction
2 Unsupervised Feature Selection Model
3 Experiments and Discussions
3.1 Experiment 1: Color-Texture Image Segmentation
3.2 Experiment 2: Video Segmentation
4 Conclusion
References
Invariant Digital Image Watermarking Scheme in the Projected-Frequency Domain
Abstract
1 Introduction
2 Projected-Frequency Domain Representation
3 Proposed Watermarking Approach
3.1 Watermark Embedding Process
3.2 Watermark Recovering Process
4 Performance Evaluation of the Proposed Watermarking Scheme
4.1 Simulation Results
4.2 Comparative Study
4.3 Discussion
5 Conclusion
References
Image Segmentation and Object Extraction for Automatic Diatoms Classification
1 Introduction
2 Segmentation
3 Detection of Diatom Fragments
4 Diatom Reconstruction
5 Experimental Results
6 Conclusion
References
An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms
1 Introduction
2 Motivation
3 Proposed Approach
3.1 Alphabet Reduction Scheme
3.2 Offline Histogram Packing
4 Experimental Results
5 Conclusion
References
Automatic Camera Selection in the Context of Basketball Game
1 Introduction
2 Method Description
2.1 Players' Extraction
2.2 Action Detection
2.3 Camera Selection
3 Validation
3.1 Video Database
3.2 Results
4 Conclusion
References
An Objective Evaluation of Edge Detection Methods Based on Oriented Half Kernels
1 Introduction
2 Edge Detection Using Half Oriented Kernels
2.1 Advantages of Half Oriented Kernels
2.2 Types of Implemented Filters
3 Evaluation and Results
4 Conclusion
References
Ordinal Learning with Vector Space Based Binary Predicates and Its Application to Tahitian Pearls' Luster Automatic Assessment
1 Introduction
1.1 Object Ranking vs. Instance Ranking
1.2 Guideline
2 Methods
2.1 Theory
2.2 Experiments
2.3 Learner
2.4 Validation Method
3 Results
4 Discussion
5 Conclusion
References
Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings
Abstract
1 Introduction
2 The Proposed Methodology for Bearing Fault Diagnosis
2.1 Feature Selection Method Base on a Separability Index
2.2 The Architecture of Two-Tier Classifier
3 Experimental Results and Discussion
4 Conclusions
Acknowledgements
References
Number of Useful Components in Gaussian Mixture Models for Patch-Based Image Denoising
1 Introduction
2 Datasets
3 Image Denoising with a Gaussian Mixture Model
3.1 Training the GMM on a Patch Database
3.2 Denoising Algorithm
3.3 Complexity Analysis
4 Experimental Results
4.1 Denoising Performance
4.2 Dictionary Choice and Model Complexity
5 Conclusion
References
Automatic Video Editing: Original Tracking Method Applied to Basketball Players in Video Sequences
1 Introduction
2 Available Techniques
3 Implementation
3.1 Distortion
3.2 Background Subtraction and Contours Extraction
3.3 Score Estimation
4 Results
5 Conclusion and Perspectives
References
Document Image Processing
Review: Automatic Image Annotation for Semantic Image Retrieval
1 Introduction
2 Fundamentals of Image Retrieval
2.1 Image Representation: Features and Metadata
2.2 Image Retrieval Generic Processes
3 Automatic Image Annotation for Image Retrieval
3.1 Visual Features-Based Automatic Image Annotation
3.2 Metadata-Based Automatic Image Annotation
4 Discussion and Synthesis
5 Conclusion
References
Graph-Based Text Modeling: Considering Mathematical Semantic Linking to Improve the Indexation of Ar ...
Abstract
1 Introduction
2 Related Works
3 Semantic Document Indexing
3.1 Linguistic Approaches
3.2 Mathematical Approaches
4 Experiments and Results
5 Conclusion
References
Automatic Anonymization of Printed-Text Document Images
1 Introduction
2 Proposed Anonymization Approach
2.1 Overall Anonymization Process
2.2 Textual Anonymization Process
2.3 Substitution of Anonymized Text in Document Image
3 System Evaluation
4 Conclusion
References
A Fuzzy Radial Basis Model for Arabic Documents Classification
1 Introduction
2 Proximity Functions
2.1 Binary Proximity
2.2 Fuzzy Proximity
2.3 Local Relevance of a Term Relative to a Document
2.4 Relevance of a Query in Relation to a Document
3 System Process
3.1 Weighting of Terms
3.2 Semantic Resources
4 Semantic Classification Based on Radial Basis Function
4.1 The Radial Basis Fuzzy Proximity
4.2 Our RBF Fuzzy Proximity Model
5 Results
6 Discussion and Conclusion
References
Instruments and Signal Processing
A Novel Approach to String Instrument Recognition
1 Introduction
2 The Proposed Approach
2.1 Music Representation: Notes and Pieces
2.2 Construction of the Feature Set
3 Results
3.1 Identification Based on Notes
3.2 Identification from Solo Instrument Pieces
4 Conclusion and Scope for Future Work
References
Efficient Implementation of Updating MCU Using the Firmware on the Air
Abstract
1 Introduction
2 Problem Formulation
3 Related Works
4 System Conception Overview
5 Experimental Results
6 Conclusion
References
Robust Non Parametric CFAR Detector in Compound Gaussian Clutter in the Presence of Thermal Noise and Interfering Targets
1 Introduction
2 Proposed Modified Robust Detector in the Presence of Thermal Noise and the Interfering Targets
2.1 The K-Distribution Plus Thermal Noise
2.2 The Generalized Pareto Plus Thermal Noise Distribution
2.3 The Compound Inverse Gaussian Plus Thermal Noise Distribution
3 Results and Discussions
4 Conclusion
References
Mitigation of Target Tracking Errors and sUAS Response Using Multi Sensor Data Fusion
Abstract
1 Introduction
2 Mathematical Modeling and Formulation
2.1 State Estimation
2.2 Sensor Fusion
2.3 Particle Filter
3 Simulation Analysis
4 Conclusion and Future Scope
References
Multi-Pinhole Based X-Ray Fluorescence Computed Tomography: A Comparison with Single Pinhole Case
Abstract
1 Introduction
2 Method
2.1 Multi-Pinhole Based XFCT
2.2 Measurement Process for a Single Pinhole
2.3 Reconstruction for Multi-pinhole XFCT
3 Experiment and Result
4 Conclusion
References
Computer Vision
Multi-view Iterative Random Projections on Big Data Clustering
1 Introduction
2 Multi-view Iterative Random Projections K-Means
3 Experiments
3.1 Datasets Descriptions
3.2 Evaluation
3.3 Baseline Methods
3.4 Experiments Results
4 Conclusion
References
Visual Scene Reconstruction Using a Bayesian Learning Framework
1 Introduction
2 Scaled Dirichlet-Based Bayesian Learning Framework
2.1 The Finite Scaled Dirichlet Mixture Model
2.2 MCMC-Based Scaled Dirichlet Mixture Learning
3 Experiments: Scenes Reconstruction
4 Conclusion
References
Salient Spin Images: A Descriptor for 3D Object Recognition
1 Introduction
2 Proposed Method
2.1 Background: Spin Images
2.2 Salient Spin Images (SSI)
3 Experimental Results
3.1 Dataset
3.2 Implementation
3.3 Experimentation
3.4 Evaluation
4 Conclusion
References
Analysis of Camera Pose Estimation Using 2D Scene Features for Augmented Reality Applications
1 Introduction
2 Basic Concept of Camera Pose Estimation Using Circle and Line Primitives
2.1 Pose Estimation from Circle-Ellipse Correspondences
2.2 Pose Estimation from Straight Line Correspondences
3 Experimental Results
3.1 Experiments Using Circles
3.2 Experiments Using Straight Lines
4 Conclusion
References
Semantic Segmentation of Indoor-Scene RGB-D Images Based on Iterative Contraction and Merging
Abstract
1 Introduction
2 Proposed Method
3 First Part: Feature Extraction
3.1 Depth Recovery
3.2 Normal Vector Map
3.3 Dense Semantic Prediction
4 Second Part: Iterative Contraction and Merging
4.1 Phase-1: Pixel-Wise Contraction and Merging
4.2 Phase-2: Region-Wise Contraction and Merging
5 Decision Process
6 Experimental Results
7 Conclusion
References
ML, Deep Learning and Their Applications
Convolutional Feature Learning and CNN Based HMM for Arabic Handwriting Recognition
Abstract
1 Introduction
2 Method
2.1 The Principle of Model CNN
2.2 HMM Modeling
2.3 The CNN-HMM Model Architecture
3 Experiments and Results
4 Conclusion and Perspectives
References
Underwater Live Fish Recognition by Deep Learning
1 Introduction
2 Proposed Approach
2.1 Architecture of AlexNet
2.2 Input Images
2.3 Feature Extraction and Classification
3 Experimental Results
4 Conclusion and Future Work
References
Editorial Image Retrieval Using Handcrafted and CNN Features
1 Introduction
2 Related Work
3 Methodology
4 Results and Discussion
5 Conclusion
References
Pipeline Fault Diagnosis Using Wavelet Entropy and Ensemble Deep Neural Technique
Abstract
1 Introduction
2 Diagnosis of Pipeline Faults Using AE Signals
3 The Proposed Methodology for Pipeline Fault Diagnosis
3.1 Wavelet Entropy Analysis
3.2 Ensemble Deep Neural Network with Optimized Model Using Genetic Algorithm
4 Experimental Setup and Results
4.1 Data Acquisition
4.2 Experimental Results
5 Conclusions
Acknowledgements
References
Image Classification in the Frequency Domain with Neural Networks and Absolute Value DCT
1 Introduction
2 Related Work
3 Method and Architecture
4 Experiments
4.1 Experiments with MNIST dataset
4.2 Experiments with CIFAR-10 Dataset
5 Conclusion
References
Adaptive Batch Extraction for Hyperspectral Image Classification Based on Convolutional Neural Network
Abstract
1 Introduction
2 Proposed Approach
2.1 Kernel Selection
2.2 Batch Size Calculation
2.3 CNN Treatment
3 Experiences and Discussion
3.1 Datasets
3.2 Experimental Results
3.3 Discussions
4 Conclusion
Acknowledgment
References
Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms
1 Introduction
2 Related Work
3 Method
4 Experiments
4.1 Results and Discussion
5 Conclusion
References
Time Series Classification with Shallow Learning Shepard Interpolation Neural Networks
1 Introduction
2 Related Works
3 Shepard Interpolation Neural Networks
4 Experimental Results
4.1 Experimental Settings
4.2 Result
5 Conclusion
References
Visual Tracking Using Multi-layer CNN Features Based Discriminant Correlation Filters with Foreground Mask
1 Introduction
2 Proposed Method
2.1 Masked Correlation Filter
2.2 Foreground Mask Generation
2.3 Updating Strategy
3 Experimental Results
3.1 Implementation Details
3.2 Analysis of Our Approach
3.3 Comparison with Other Trackers
4 Conclusions
References
Mathematical Imaging and Vision
PDEs on Graphs for Image Reconstruction on Positron Emission Tomography
1 Introduction
2 Acquisition and Reconstruction Methods
2.1 The PET Imaging Model
2.2 Algebraic Reconstruction Technique (ART)
3 PDEs on Weighted Graphs for Images and Point Clouds
3.1 Graph Construction
3.2 Partial Difference Operators on Graphs
3.3 Regularization Using Mean Curvature Flows on Graphs
4 Results and Discussion
4.1 Performance Evaluation
4.2 Experiments
5 Conclusion
References
Digital Image Processing with Quantum Approaches
1 Introduction
2 Quantum Representation of Images
3 Quantum Image Processing
3.1 Image Classification
3.2 Image Model Identification
4 Conclusion
References
The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit
1 Introduction
2 Prerequisites on Graphs
3 Networks on Simple Graphs
4 Networks on Weighted Graphs
5 Conclusion and Perspectives
References
Fourth Order Nonlinear Diffusion Filters for Multiplicative Noise Removal
1 Introduction
2 Detail Preserving Anisotropic Diffusion Filter
3 Proposed Filters
3.1 Fourth Order Anisotropic Diffusion Filter
3.2 Fourth Order Isotropic Diffusion Filter
4 Numerical Experiments
5 Conclusion
References
A Nonlocal Model for Image Restoration with Gamma Distributed Multiplicative Noise
1 Introduction
2 Our Proposed Model
2.1 Nonlocal Differential Operators
2.2 The Proposed Model
3 Numerical Results
4 Conclusion
References
Variable Exponent Nonlocal Model with Weaker Norm in the Fidelity Term for Image Restoration
1 Introduction
2 Proposed Model
3 Numerical Simulations
4 Conclusion
References
Digital Cultural Heritage Imaging via Osmosis Filtering
1 Introduction
2 Intensity Balance in CH Imaging Modalities
3 Image Osmosis Filtering
3.1 Numerical Realisation
4 Applications
4.1 Light and Colour Correction
4.2 False Colour Adjustment
4.3 Multi-modal Data Integration
5 Conclusions
References
Biometric, Affective and Biomedical imaging
Geometrical Local Image Descriptors for Palmprint Recognition
Abstract
1 Introduction
2 Spiral Local Image Features
2.1 Moment Statistics
2.2 Binarized Statistical Image Features
2.3 Global Features
2.4 Extreme Learning Machine
3 Experimental Results
3.1 Palmprint Databases
3.2 Palmprint Identification
4 Conclusion
References
Designing Efficient Spoof Detection Scheme for Face Biometric
Abstract
1 Introduction
2 Related Works
3 Image Quality Assessment for Fake Face Detection
4 Texture-Based Approaches for Fake Face Detection
5 Proposed Face Spoof Detection
6 Experimental Results and Databases
7 Conclusion
References
Affective Computing: Using Covariance Descriptors for Facial Expression Recognition
1 Introduction
2 Region Covariance Matrices
3 Local Directional Covariance Matrix
3.1 Local Directional Pattern
3.2 Local Directional Covariance Matrix
4 Experimental Results
4.1 Global Face Covariance Features
4.2 Segmented Face Regions
4.3 Special Landmark Regions
5 Conclusion
References
Detecting Morphed Face Images Using Facial Landmarks
1 Introduction
2 Proposed Algorithm
3 Databases
4 Experiments and Results
5 Conclusions
References
Convolutional Neural-Adaptive Networks for Melanoma Recognition
Abstract
1 Introduction
2 Melanoma Recognition System
2.1 Data Pre-processing
2.2 Convolutional Weights Adaptation Networks
3 Experimental Results and Analysis
3.1 Experimental Setting
3.2 Classification Results
4 Conclusion and Future Work
References
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability
1 Motivation
2 Gradual Domain Adaptation Pipeline
2.1 Domain Gap Estimation (DGE)
2.2 Adaptation Control (AC)
3 Experiments
3.1 Results
4 Discussion
References
Multispectral and Colour Science
Ink Bleed-Through Removal of Historical Manuscripts Based on Hyperspectral Imaging
1 Introduction
2 Brief State of the Art
3 Experimental Design
3.1 Image Target
3.2 Segmentation
3.3 Inpainting
4 Experimental Results
5 Discussion
6 Conclusion
References
Colorimetric Screening of the Haze Model Limits
1 Introduction
2 Colorimetric Assessment Through Fog Densities
2.1 Protocol
2.2 Indicators
2.3 Analysis
3 Results
4 Conclusion
References
Spectral Image Enhancement for the Visualization of Dental Lesions
1 Introduction
2 Materials and Methods
2.1 Human Tooth Samples and Spectral Imaging
2.2 Spectral Image Enhancement
2.3 Brightness Normalization, RGB Images and Particle Swarm Optimization
3 Results and Discussion
4 Conclusions
References
Contrast Enhancement of Dental Lesions by Light Source Optimisation
1 Introduction
2 Methods
3 Results and Discussion
4 Conclusions
References
Target Preserving Hyperspectral Image Compression Using Weighted PCA and JPEG2000
1 Introduction
2 Proposed Method
3 Experimental Results
4 Conclusions
References
Towards Highlight Based Illuminant Estimation in Multispectral Images
1 Introduction
2 Dichromatic Reflection Model
3 Inversion of Dichromatic Reflection Model
3.1 Illuminant Estimation in Two-Dimensional Chromaticity Space
3.2 Constraint on Possible Illuminants
3.3 Inverse Intensity Chromaticity Space
3.4 Use of Polarizing Filter
4 Illuminant Information from Multispectral Images
4.1 Statistics Based Methods
4.2 Low-Rank Matrix Factorization of Multispectral Data
4.3 Use of Singular Value Decomposition
5 Conclusion
References
Visualization Technique for Change of Edema Condition by Volume Measurement Using Depth Camera
Abstract
1 Introduction
2 Proposed Method
2.1 Acquisition of a Point Cloud
2.2 Removal of Unnecessary Parts
2.3 Setting of the Stable Range of the Measurement
2.4 Visualization of Shape Change Amount
3 Experiment
3.1 Registration Result of Two 3D Models
3.2 Visualization Result of Partial Shape Change
4 Conclusion
References
Analysis of Melanin Pigment Changes in Long Terms for Face of Various Ages: A Case Study on the UV C ...
Abstract
1 Introduction
2 Facial Image Database and Methods of Analysis
2.1 Construction of the Facial Image Database
2.2 Extraction of the Melanin Component
2.3 Analysis of the Melanin Component by PCA
3 Results Showing Individual Difference in PC Scores
4 Discussion
5 Conclusion
References
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Image and Signal Processing

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