Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022).
Manza, Ramesh.
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). - 1st ed. - 1 online resource (746 pages) - Advances in Intelligent Systems Research Series ; v.176 . - Advances in Intelligent Systems Research Series .
Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- An Improved Computer Aided System for Lung Cancer Detection using Image Processing Techniques -- 1 Introduction -- 2 Literature survey -- 3 Methodology -- 4 Result -- 5 Conclusion -- References -- Automated Detection of Tuberculosis Based on Cantilever Biosensor -- 1 Introduction -- 2 Bio-Mems Cantilever Sensor -- 3 Experimental Details -- 4 Result and Discussion -- References -- Diagnosing Microscopic Blood Samples for Early Detection of Leukemia by Deep and Hybrid Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Description of Two Datasets -- 3.2 Pre-processing -- 3.3 Convolutional Neural Networks (CNN) -- 3.4 Hybrid of Deep and Machine Learning -- 4 Experimental Result -- 4.1 Splitting Dataset -- 4.2 Evaluation Metrics -- 4.3 CNN Models Results -- 4.4 Results of the Hybrid CNN with SVM Algorithm -- 5 Discussion -- 6 Conclusion -- References -- Lung Cancer Nodules Detection Using Ideal Features Extraction Technique in CT Images -- 1 Introduction -- 2 Related Work -- 3 Methods and materials -- 3.1 Dataset -- 3.2 Image Preprocessing -- 3.3 Segmentation -- 3.4 Feature Extraction -- 3.5 Classification Using Hybrid-CNN -- 4 Result and Discussion -- 5 Conclusion -- References -- Fuzzy Level Set Search and Rescue Optimization (FLSSR) Based Segmentation of Pediatric Brain Tumor -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Preprocessing -- 3.2 Fuzzy Level Set Search and Rescue Optimization (FLSSR) for Segmentation Process: -- 4 Results and Discussions -- 5 Performance Evaluation -- 6 Conclusion -- References -- Investigating EEG Images of Cognitive Actions for Robotic Arm -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants. 3.2 Technical Analysis -- 3.3 Analyzing .edf Files via EEGLAB -- 3.4 Robotic Arm Overview -- 3.5 Active Region Identification -- 3.6 ERD and ERS for the Components in Frontal Region -- 4 Performance evaluation of the Robotic Arm -- 5 Result -- 6 Conclusion -- References -- Localization of Intervertebral Discs Using Deep-Learning and Region Growing Technique -- 1 Introduction -- 2 Review of the Literature -- 3 Proposed Methodology -- 3.1 Data -- 3.2 Pre-processing -- 3.3 Proposed Method -- 4 Results and Discussion -- 4.1 Evaluation Matrices -- 4.2 Effect of Hourglass Attention Mechanism -- 5 Conclusion -- References -- Identification of Skin Disease Using Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Method and Techniques -- 3.1 Input Images -- 3.2 Image Preprocessing -- 3.3 Filtering Techniques -- 3.4 Gaussian Filter -- 3.5 Image Segmentation -- 3.6 Support Vector Machine (SVM) -- 3.7 K-nearest Neighbor (KNN) -- 3.8 Feature Extraction -- 3.9 Color Moments -- 3.10 Texture Feature Extraction -- 4 Performance Measures -- 5 Result and Discussion -- 6 Conclusion -- References -- Apple Classification Based on MRI Images Using VGG16 Convolutional Deep Learning Model -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 VGG Model -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy -- 1 Introduction -- 2 Methodology -- 2.1 Preprocessing -- 2.2 RGB Channel -- 2.3 Histogram -- 2.4 Enhancement -- 2.5 KNN Classification -- 3 Experiment Result -- 4 Conclusion -- References -- Extraction of Bank Cheque Fields Based on Faster R-CNN -- 1 Introduction -- 2 Related Work and Overview -- 2.1 Related Work -- 2.2 Faster RCNN -- 3 Methodology -- 3.1 ConvNet Layers -- 3.2 Region Proposal Networks. 3.3 Region of Interest Pooling Layer -- 3.4 Classification Layers -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Experiment Results -- 5 Conclusion -- References -- Multimodal Deep Learning Based Score Level Fusion Using Face and Fingerprint -- 1 Introduction -- 2 Literature Survey -- 3 About Database -- 4 Experimental Setup -- 5 Proposed Methodology -- 5.1 Pre-processing -- 5.2 CNN -- 5.3 VGG16 -- 5.4 Features Classification -- 5.5 Score Level Fusion -- 6 Performance Analysis -- 6.1 Classification and Confusion Matrix -- 7 Result and Discussion -- 8 Conclusion -- 9 Contributions -- References -- Enhanced Technique for Exemplar Based Image Inpainting Method -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Input Image -- 3.2 Perform Cropping -- 3.3 Perform Inpainting by Criminisi Method -- 3.4 Finding Parameters -- 3.5 Perform Tensor Inpainting -- 4 Experimental Results -- 5 Conclusion -- References -- An Optimal (2, 2) Visual Cryptography Schemes For Information Security -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experimental Result -- 5 Discussion and Performance Analysis -- 5.1 Pixel Expansion -- 5.2 Contrast and Statistical Analysis -- 5.3 Mean Square Error -- 5.4 Peak-Signal-to-Noise-Ratio -- 5.5 Universal-Index-Quality (UIQ) -- 5.6 Maximum Difference (MD) -- 5.7 Average Difference (AD) -- 6 Conclusion -- References -- A Numeral Script Identification from a Multi-lingual Printed Document Image -- 1 Introduction -- 1.1 Motivation -- 2 Proposed Method -- 3 Experimental Results -- 4 Conclusion -- References -- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People -- 1 Introduction -- 2 Related Work -- 3 Architectural Description of the Proposed Object Detection Model for Visually Impaired (ODMVI) -- 3.1 Preprocessing -- 3.2 Segmentation. 3.3 Feature Extraction -- 4 Optimal Feature Selection -- 5 Object Detection Using CNN -- 5.1 Convolution Layer -- 5.2 Pooling Layer -- 5.3 Fully Connected Layer -- 6 Dataset -- 7 Results and Discussion -- 7.1 Simulation Procedure -- 7.2 Convergence Analysis -- 7.3 Performance Evaluation of ODMVI -- 8 Conclusion and Future Scope -- References -- A Machine Learning Based Approach for Image Quality Assessment of Forged Document Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Implementation and Results -- 4.1 Dataset -- 5 Statistical Test of Significance -- 6 Conclusion -- References -- Comparative Study of Grid-Inverted List Hybrid Indexing Techniques for Moving Objects and Queries -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Grid-Inverted List Hybrid Index -- 3.2 KNN Query -- 3.3 Hybrid Index Implementation with YPK-CNN Technique -- 3.4 Hybrid Index Implementation with SEA-CNN Technique -- 3.5 Hybrid Index Implementation with CPM Technique -- 3.6 Differences Between YPK-CNN, SEA-CNN and CPM Techniques -- 3.7 Proposed Algorithms -- 4 Experimental work -- 5 Results and Discussion -- 6 Conclusion -- References -- Text-Independent Source Identification of Printed Documents using Texture Features and CNN Model -- 1 Introduction -- 2 Review of Related Studies -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Pre-processing -- 3.3 Feature Extraction -- 4 Experimental Results and Discussion -- 4.1 Performance of Textual Features -- 4.2 Deep Learning CNN Performance Measurement -- 4.3 Comparison Analysis -- 5 Conclusion -- References -- A Vision-Based Sign Language Recognition using Statistical and Spatio-Temporal Features -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Data Collection -- 3.2 Feature Extraction and Learning. 4 Results and Discussion -- 4.1 Raw Data Pre-processing -- 4.2 Extraction and Analysis of Statistical and Spatio-Temporal Features -- 4.3 Classification of Statistical Features -- 4.4 Early Fusion of Statistical and Spatio-Temporal Features -- 4.5 Comparison of Results -- 4.6 Conclusion and Future Work -- References -- Single Image Dehazing Using Haze Veil Analysis and CLAHE -- 1 Introduction -- 2 Methodology -- 3 Haze Veil Calculation -- 3.1 Computing Reflectance Image -- 4 Experimental Results -- 5 Conclusion -- References -- HiTEK Multilingual Speech Identification Using Combinatorial Model -- 1 Introduction -- 2 Literature Review -- 3 Challenges -- 4 Methodology -- 4.1 Hidden Markov Model- Gaussian Mixture Model -- 4.2 Hidden Markov Model- Artificial Neural Networks -- 4.3 Hidden Markov Model- Deep Neural Networks -- 4.4 POS Tagging -- 4.5 Tokenization and Stemming -- 4.6 Morphological Analysis -- 4.7 Syntactical Analysis -- 4.8 Semantic Analysis -- 4.9 Word Discourse Knowledge -- 5 Experimental Setup and Results -- 6 Conclusion and Future Scope -- References -- Devanagari License Plate Detection, Classification and Recognition -- 1 Introduction -- 1.1 Devanagari (Nepalese) License Plate -- 2 Literature Review -- 3 Proposed Method -- 3.1 LP Detection and Classification -- 3.2 Character Segmentation and Recognition -- 4 Result and Discussion -- 4.1 DLP Dataset -- 4.2 Detection and Classification Results -- 4.3 Character Recognition Results -- 4.4 Real-Time Implementation Results -- 5 Conclusion -- References -- Pre-trained Convolutional Neural Networks for Gender Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Keras Models -- 3.2 Custom CNN -- 4 Results and Discussion -- 5 Conclusion -- References -- AVAO Enabled Deep Learning Based Person Authentication Using Fingerprint -- 1 Introduction -- 2 Motivation. 2.1 Literature Review.
9789464631968
Electronic books.
TA1501-1820
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). - 1st ed. - 1 online resource (746 pages) - Advances in Intelligent Systems Research Series ; v.176 . - Advances in Intelligent Systems Research Series .
Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 Review Procedure -- 2 Quality Criteria -- 3 Key Metrics -- An Improved Computer Aided System for Lung Cancer Detection using Image Processing Techniques -- 1 Introduction -- 2 Literature survey -- 3 Methodology -- 4 Result -- 5 Conclusion -- References -- Automated Detection of Tuberculosis Based on Cantilever Biosensor -- 1 Introduction -- 2 Bio-Mems Cantilever Sensor -- 3 Experimental Details -- 4 Result and Discussion -- References -- Diagnosing Microscopic Blood Samples for Early Detection of Leukemia by Deep and Hybrid Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Description of Two Datasets -- 3.2 Pre-processing -- 3.3 Convolutional Neural Networks (CNN) -- 3.4 Hybrid of Deep and Machine Learning -- 4 Experimental Result -- 4.1 Splitting Dataset -- 4.2 Evaluation Metrics -- 4.3 CNN Models Results -- 4.4 Results of the Hybrid CNN with SVM Algorithm -- 5 Discussion -- 6 Conclusion -- References -- Lung Cancer Nodules Detection Using Ideal Features Extraction Technique in CT Images -- 1 Introduction -- 2 Related Work -- 3 Methods and materials -- 3.1 Dataset -- 3.2 Image Preprocessing -- 3.3 Segmentation -- 3.4 Feature Extraction -- 3.5 Classification Using Hybrid-CNN -- 4 Result and Discussion -- 5 Conclusion -- References -- Fuzzy Level Set Search and Rescue Optimization (FLSSR) Based Segmentation of Pediatric Brain Tumor -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Preprocessing -- 3.2 Fuzzy Level Set Search and Rescue Optimization (FLSSR) for Segmentation Process: -- 4 Results and Discussions -- 5 Performance Evaluation -- 6 Conclusion -- References -- Investigating EEG Images of Cognitive Actions for Robotic Arm -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants. 3.2 Technical Analysis -- 3.3 Analyzing .edf Files via EEGLAB -- 3.4 Robotic Arm Overview -- 3.5 Active Region Identification -- 3.6 ERD and ERS for the Components in Frontal Region -- 4 Performance evaluation of the Robotic Arm -- 5 Result -- 6 Conclusion -- References -- Localization of Intervertebral Discs Using Deep-Learning and Region Growing Technique -- 1 Introduction -- 2 Review of the Literature -- 3 Proposed Methodology -- 3.1 Data -- 3.2 Pre-processing -- 3.3 Proposed Method -- 4 Results and Discussion -- 4.1 Evaluation Matrices -- 4.2 Effect of Hourglass Attention Mechanism -- 5 Conclusion -- References -- Identification of Skin Disease Using Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Method and Techniques -- 3.1 Input Images -- 3.2 Image Preprocessing -- 3.3 Filtering Techniques -- 3.4 Gaussian Filter -- 3.5 Image Segmentation -- 3.6 Support Vector Machine (SVM) -- 3.7 K-nearest Neighbor (KNN) -- 3.8 Feature Extraction -- 3.9 Color Moments -- 3.10 Texture Feature Extraction -- 4 Performance Measures -- 5 Result and Discussion -- 6 Conclusion -- References -- Apple Classification Based on MRI Images Using VGG16 Convolutional Deep Learning Model -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 VGG Model -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy -- 1 Introduction -- 2 Methodology -- 2.1 Preprocessing -- 2.2 RGB Channel -- 2.3 Histogram -- 2.4 Enhancement -- 2.5 KNN Classification -- 3 Experiment Result -- 4 Conclusion -- References -- Extraction of Bank Cheque Fields Based on Faster R-CNN -- 1 Introduction -- 2 Related Work and Overview -- 2.1 Related Work -- 2.2 Faster RCNN -- 3 Methodology -- 3.1 ConvNet Layers -- 3.2 Region Proposal Networks. 3.3 Region of Interest Pooling Layer -- 3.4 Classification Layers -- 4 Experiment and Results -- 4.1 Dataset -- 4.2 Experiment Results -- 5 Conclusion -- References -- Multimodal Deep Learning Based Score Level Fusion Using Face and Fingerprint -- 1 Introduction -- 2 Literature Survey -- 3 About Database -- 4 Experimental Setup -- 5 Proposed Methodology -- 5.1 Pre-processing -- 5.2 CNN -- 5.3 VGG16 -- 5.4 Features Classification -- 5.5 Score Level Fusion -- 6 Performance Analysis -- 6.1 Classification and Confusion Matrix -- 7 Result and Discussion -- 8 Conclusion -- 9 Contributions -- References -- Enhanced Technique for Exemplar Based Image Inpainting Method -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Input Image -- 3.2 Perform Cropping -- 3.3 Perform Inpainting by Criminisi Method -- 3.4 Finding Parameters -- 3.5 Perform Tensor Inpainting -- 4 Experimental Results -- 5 Conclusion -- References -- An Optimal (2, 2) Visual Cryptography Schemes For Information Security -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experimental Result -- 5 Discussion and Performance Analysis -- 5.1 Pixel Expansion -- 5.2 Contrast and Statistical Analysis -- 5.3 Mean Square Error -- 5.4 Peak-Signal-to-Noise-Ratio -- 5.5 Universal-Index-Quality (UIQ) -- 5.6 Maximum Difference (MD) -- 5.7 Average Difference (AD) -- 6 Conclusion -- References -- A Numeral Script Identification from a Multi-lingual Printed Document Image -- 1 Introduction -- 1.1 Motivation -- 2 Proposed Method -- 3 Experimental Results -- 4 Conclusion -- References -- A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People -- 1 Introduction -- 2 Related Work -- 3 Architectural Description of the Proposed Object Detection Model for Visually Impaired (ODMVI) -- 3.1 Preprocessing -- 3.2 Segmentation. 3.3 Feature Extraction -- 4 Optimal Feature Selection -- 5 Object Detection Using CNN -- 5.1 Convolution Layer -- 5.2 Pooling Layer -- 5.3 Fully Connected Layer -- 6 Dataset -- 7 Results and Discussion -- 7.1 Simulation Procedure -- 7.2 Convergence Analysis -- 7.3 Performance Evaluation of ODMVI -- 8 Conclusion and Future Scope -- References -- A Machine Learning Based Approach for Image Quality Assessment of Forged Document Images -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Implementation and Results -- 4.1 Dataset -- 5 Statistical Test of Significance -- 6 Conclusion -- References -- Comparative Study of Grid-Inverted List Hybrid Indexing Techniques for Moving Objects and Queries -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Grid-Inverted List Hybrid Index -- 3.2 KNN Query -- 3.3 Hybrid Index Implementation with YPK-CNN Technique -- 3.4 Hybrid Index Implementation with SEA-CNN Technique -- 3.5 Hybrid Index Implementation with CPM Technique -- 3.6 Differences Between YPK-CNN, SEA-CNN and CPM Techniques -- 3.7 Proposed Algorithms -- 4 Experimental work -- 5 Results and Discussion -- 6 Conclusion -- References -- Text-Independent Source Identification of Printed Documents using Texture Features and CNN Model -- 1 Introduction -- 2 Review of Related Studies -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Pre-processing -- 3.3 Feature Extraction -- 4 Experimental Results and Discussion -- 4.1 Performance of Textual Features -- 4.2 Deep Learning CNN Performance Measurement -- 4.3 Comparison Analysis -- 5 Conclusion -- References -- A Vision-Based Sign Language Recognition using Statistical and Spatio-Temporal Features -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Data Collection -- 3.2 Feature Extraction and Learning. 4 Results and Discussion -- 4.1 Raw Data Pre-processing -- 4.2 Extraction and Analysis of Statistical and Spatio-Temporal Features -- 4.3 Classification of Statistical Features -- 4.4 Early Fusion of Statistical and Spatio-Temporal Features -- 4.5 Comparison of Results -- 4.6 Conclusion and Future Work -- References -- Single Image Dehazing Using Haze Veil Analysis and CLAHE -- 1 Introduction -- 2 Methodology -- 3 Haze Veil Calculation -- 3.1 Computing Reflectance Image -- 4 Experimental Results -- 5 Conclusion -- References -- HiTEK Multilingual Speech Identification Using Combinatorial Model -- 1 Introduction -- 2 Literature Review -- 3 Challenges -- 4 Methodology -- 4.1 Hidden Markov Model- Gaussian Mixture Model -- 4.2 Hidden Markov Model- Artificial Neural Networks -- 4.3 Hidden Markov Model- Deep Neural Networks -- 4.4 POS Tagging -- 4.5 Tokenization and Stemming -- 4.6 Morphological Analysis -- 4.7 Syntactical Analysis -- 4.8 Semantic Analysis -- 4.9 Word Discourse Knowledge -- 5 Experimental Setup and Results -- 6 Conclusion and Future Scope -- References -- Devanagari License Plate Detection, Classification and Recognition -- 1 Introduction -- 1.1 Devanagari (Nepalese) License Plate -- 2 Literature Review -- 3 Proposed Method -- 3.1 LP Detection and Classification -- 3.2 Character Segmentation and Recognition -- 4 Result and Discussion -- 4.1 DLP Dataset -- 4.2 Detection and Classification Results -- 4.3 Character Recognition Results -- 4.4 Real-Time Implementation Results -- 5 Conclusion -- References -- Pre-trained Convolutional Neural Networks for Gender Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Keras Models -- 3.2 Custom CNN -- 4 Results and Discussion -- 5 Conclusion -- References -- AVAO Enabled Deep Learning Based Person Authentication Using Fingerprint -- 1 Introduction -- 2 Motivation. 2.1 Literature Review.
9789464631968
Electronic books.
TA1501-1820