Recent Trends in Image Processing and Pattern Recognition: Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised ... in Computer and Information Science)

Preface
Organization
Contents -- Part II
Contents – Part I
Healthcare Informatics and Medical Imaging
Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions
	1 Introduction
	2 Methodology
		2.1 Design New Biorthogonal Wavelet Filter
	3 Result
		3.1 Grading of Non-proliferative Diabetic Retinopathy Lesions Using Multilayer Perceptron (Feed Forward Neural Network)
	4 Conclusion
	References
Techniques for the Detection of Skin Lesions in PH2 Dermoscopy Images Using Local Binary Pattern (LBP)
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Set
		3.2 Pre-processing (Gaussian Filter Method)
		3.3 Segmentation Method
		3.4 Morphological Method
		3.5 Feature Extraction Method
		3.6 Classification Algorithms
	4 Experimental Results
	5 Conclusion
	References
Effect of Quality Enhancement Techniques on MRI Images
	1 Introduction
	2 Literature Review
	3 Statistical Measures
		3.1 Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE)
		3.2 Mean
		3.3 Median
		3.4 Mode
		3.5 Standard Deviation
		3.6 Covariance
	4 Histogram Equalization
	5 Experimental Analysis
	6 Result Analysis
	7 Conclusion
	References
Osteoarthritis Detection in Knee Radiographic Images Using Multiresolution Wavelet Filters
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Dataset
		3.2 Bone Edge Detection
		3.3 Preprocessing
		3.4 Identification of Region of Interest
		3.5 Wavelet Transformation
		3.6 Classification
	4 Results
	5 Conclusion
	References
DWT Textural Feature-Based Classification of Osteoarthritis Using Knee X-Ray Images
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Acquisition
		3.2 Preprocessing
		3.3 ROI Localization
		3.4 Texture Feature Extraction Through DWT
		3.5 Classification
	4 Experimental Results
	5 Conclusion and Future Work
	References
A Deep Learning Based Visible Knife Detection System to Aid in Women Security
	1 Introduction
	2 Dataset
	3 Proposed Method
		3.1 Deep Learning-Based Framework
		3.2 Handcrafted Feature-Based Framework
	4 Result and Discussion
		4.1 Our Result
		4.2 Comparative Study
	5 Conclusion
	References
Computerized Medical Disease Identification Using Respiratory Sound Based on MFCC and Neural Network
	1 Introduction
	2 Previous Research Work
	3 Database Creation
	4 Experiment Analysis
	5 Conclusion
	References
Keywords Recognition from EEG Signals on Smart Devices a Novel Approach
	1 Introduction
		1.1 Database
		1.2 Methodology
	2 Results and Discussion
	3 Conclusion
	References
Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 System Architecture
		3.2 UCI Repository Dataset
		3.3 Automatic Transmission and Measurement of ECG Signal
		3.4 Feature Selection and Extraction
		3.5 Secure Cloud Storage
		3.6 Arrhythmia Diagnosing System
	4 Experimental Results and Discussion
		4.1 Parameter for Evaluation
		4.2 Results
	5 Conclusion and Future Scope
	References
Efficient Method to Extract QRS Complex and ST Segment for Cardiovascular Diseases Prediction
	1 Introduction
	2 Related Work
	3 Proposed Methodology
	4 Simulation Results
	5 Conclusion and Future Work
	References
Deep Learning Based Lung Nodules Detection from Computer Tomography Images
	1 Introduction
	2 Background
	3 Chest CT Scan Dataset
	4 Method
		4.1 Preprocessing and Segmentation
		4.2 Nodule Detection
	5 Experimental Results
	6 Conclusion and Future Scope
	References
Enhancement of MRI Brain Images Using Fuzzy Logic Approach
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Experimentation
		4.1 Result
		4.2 Discussion
	5 Conclusion
	References
Image Analysis and Recognition
Exploiting Radon Features for Image Retrieval
	1 Introduction
	2 Proposed Methodology
		2.1 Preprocessing
		2.2 Features
		2.3 Similarity Matching and Image Retrieval
	3 Results and Discussion
	4 Conclusion
	References
A Contrast Optimal Visual Cryptography Scheme for Half-Tone Images
	1 Introduction
	2 Related Work
	3 Preliminary Concepts
		3.1 HVC Scheme
		3.2 Error Diffusion
		3.3 Code Matrix’s
	4 Proposed Methodology
		4.1 Algorithm
	5 Experimental Results and Discussion
	6 Discussion and Performance Analysis
		6.1 Pixel Expansion
		6.2 Contrast and Statistical Analysis
	7 Conclusion
	References
Mineralogical Study of Lunar South Pole Region Using Chandrayaan-1 Hyperspectral (HySI) Data
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Testing the Modeled Spectra
	4 Results and Discussion
	5 Conclusion
	References
Confusion Matrix-Based Supervised Classification Using Microwave SIR-C SAR Satellite Dataset
	1 Introduction
	2 Classification Techniques
		2.1 Supervised Classification
	3 Error and Accuracy Assessment
		3.1 Confusion Matrix
		3.2 Commission Error
		3.3 Omission Error
		3.4 Accuracy Assessment
	4 Study Area
	5 Result and Discussion
	6 Conclusion
	References
Forensic Identification of Birds from Feathers Using Hue and Saturation Histogram
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Creation of Database.
		3.2 Hue-Saturation Histogram
		3.3 Identification Protocol
	4 Results and Discussion
	5 Conclusion
	References
Transformation of Voice Signals to Spatial Domain for Code Optimization in Digital Image Processing
	1 Introduction
		1.1 Hypothesis
	2 Literature Survey
	3 Voice to Image Conversion
		3.1 Signal-Range Based Method
		3.2 Fuzzy-Based Method
	4 Speaker Recognition
		4.1 Local Binary Pattern Filter
		4.2 Histogram of Oriented Gradient (HOG)
		4.3 Classifications
		4.4 Database
	5 Voice Segmentation (Word-Level)
		5.1 Pre-processing (Noise Reduction)
		5.2 Segmentation Algorithm
		5.3 Database
	6 Implementation and Results
		6.1 Word Segmentation Results
		6.2 Speaker Identification Results
	7 Conclusion
	8 Future Works and Scopes
	References
Image and Signal Processing in Agriculture
Automated Disease Identification in Chilli Leaves Using FCM and PSO Techniques
	1 Introduction
	2 Literature Review
	3 System Architecture
		3.1 Image Acquisition
		3.2 Image Pre-processing
		3.3 Image Extraction
		3.4 Feature Extraction
		3.5 Classification
	4 Proposed Methodology
		4.1 FCM Technique
		4.2 Particle Swarm Optimization
		4.3 Convolutional Neural Network
	5 Result
	6 Conclusion
	7 Future Scope
	References
Deformation Behaviour of Soil with Geocell Using Image Analysis Techniques
	1 Introduction
	2 Literature Revıew
	3 Motivatıon
		3.1 Materials
	4 Model Test Package
		4.1 Test Program
	5 Analysis and Interpretation
		5.1 Image Analysis
	6 Conclusions
	References
Identification of Banana Disease Using Color and Texture Feature
	1 Introduction
	2 Banana Leaf Disease
		2.1 Sigatoka Disease
		2.2 Banana Bunchy Top
		2.3 Panama Disease
		2.4 Banana Streak Virus
	3 Literature Review
	4 Proposed Framework
		4.1 Image Acquisition, Pre-processing and K-MEANS Based Segmentation
		4.2 Feature Extraction
		4.3 Color
		4.4 Shape
		4.5 Texture
		4.6 Feature Selection
		4.7 Training and Classification
	5 Experimental Result
		5.1 Dataset Preparation
		5.2 Generating Clusters
	6 Result and Discussion
	7 Conclusion
	References
Enhanced HOG-LBP Feature Vector Based on Leaf Image for Plant Species Identification
	1 Introduction
		1.1 Background
	2 Methodology
		2.1 Feature Vector Description
		2.2 Image Classifiers
		2.3 Dataset
	3 Performance Evaluation
	4 Conclusions
	References
Intelligent Irrigation System Using Machine Learning Technologies and Internet of Things (IoT)
	1 Introduction
	2 Related Work
	3 Details of Proposed Framework
		3.1 Mathematical Model
		3.2 Algorithm
	4 Experimentation
	5 Conclusion
	References
Evaluation of Oh Model for Estimating Surface Parameter of Soil Using L-Band and C-Band SAR Data
	1 Introduction
	2 Study Area and Data Collection
		2.1 Study Site
		2.2 SAR Data
	3 Methodology for Estimating of Surface Soil Parameter
	4 Model Evaluation and Analysis
	5 Conclusions
	References
Greenhouse Microclimate Study for Humidity, Temperature and Soil Moisture Using Agricultural Wireless Sensor Network System
	1 Introduction
	2 Origin of the Problem
	3 Agricultural Wireless Sensor Network Multimodal System Architecture and Working
	4 Analog Output Sensor Used for Interface
	5 Material and Methods
	6 Programing of Access Point and Nodes
	7 Plant Development Related Environmental Factors
	8 Comparison with Other Systems
	9 Result and Discussion
	10 Conclusion and Future Scope
	References
Vulnerability Assessment of Climate-Smart Agriculture
	1 Introduction
	2 Climate-Smart Agriculture (CSA)
	3 Methods and Techniques for CSA
		3.1 FieldSpec Spectroradiometer
		3.2 Database Collection
		3.3 Remote Sensing and GIS Techniques
		3.4 Ground Base Technology
		3.5 Cropping Calendar for Agriculture
		3.6 Climate Calendar for Agriculture
		3.7 Cropping Season
		3.8 Climate Smartness
	4 Conclusıon
	References
Machine Learning Model Based Expert System for Pig Disease Diagnosis
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Data Description
		3.2 Data Preparation
		3.3 Method Implementation
		3.4 Analysis
	4 Design and Development of Expert System
		4.1 Architectural Framework
		4.2 Web Interface
	5 Discussion and Conclusion
	References
Combining Multiple Classifiers Using Hybrid Votes Technique with Leaf Vein Angle, CNN and Gabor Features for Plant Recognition
	1 Introduction
	2 Proposed Approach
		2.1 Feature Extraction
		2.2 Evaluation
	3 Classifiers Employed for the Experiments
		3.1 Naïve Bayes Classifier
		3.2 SVM Classifier
		3.3 KNN for Classification
		3.4 Decision Tree Classifier
		3.5 Artificial Neural Network (ANN) Classifier
	4 Experimental Results and Discussion
		4.1 Naïve Bayes Classifier Results
		4.2 SVM Based Classification
		4.3 KNN Based Classification
		4.4 Decision Tree Based Classification
		4.5 Artificial Neural Network Based Classification
		4.6 Hybrid Votes Classifier
		4.7 Comparison of All Classifiers
	5 Conclusion
	References
Hybridizing Convolution Neural Networks to Improve the Accuracy of Plant Leaf Disease Classification
	1 Introduction
	2 Literature Review
	3 Hybrid Convolutional Neural Network Design
	4 Results and Analysis
	5 Conclusion
	6 Future Work
	References
Signal Processing and Pattern Recognition
Automatic Speech Processing of Marathi Speaker İdentification for Isolated Words System
	1 Introduction
		1.1 Previous Related Work
		1.2 Categorization Based on Utterances
	2 Experimental Analysis
		2.1 Database Creation
		2.2 Feature Extraction
	3 Classification
	4 Conclusion
	References
Speech Recognition of Mathematical Words Using Deep Learning
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Experiment
		4.1 Dataset
		4.2 Feature Extraction Techniques
		4.3 Convolution Neural Network
		4.4 Training
	5 Result
	6 Conclusion
	References
Segregating Bass Grooves from Audio: A Rotation Forest-Based Approach
	1 Introduction
	2 Dataset
	3 Proposed Method
		3.1 Framing and Windowing
		3.2 Feature Extraction
		3.3 Classification
	4 Result and Discussion
	5 Conclusion
	References
Author Index