The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.
Dr. Amit Kant Pandit is working as an Associate Professor and is Ex-Hod, DECE, in Shri Mata Vaishno Devi University (SMVDU), Katra (India). He is a Senior member of IEEE and MIR labs member and has 19 years of academic experience. Mohamed Abouhawwash received the BSc and MSc degrees in statistics and computer science from Mansoura University, Mansoura, Egypt, in 2005 and 2011, respectively. He finished his Ph.D. in Statistics and Computer Science, 2015, in a channel program between Michigan State University, USA, and Mansoura University, Egypt. He is at Computational Mathematics, Science, and Engineering (CMSE), Biomedical Engineering (BME) and Radiology, Institute for Quantitative Health Science & Engineering (IQ), Michigan State University, East Lansing, MI 48824, USA. He is an Assistant Professor with the Department of Mathematics, Faculty of Science, Mansoura University, Egypt. In 2018, Dr. Abouhawwash is a Visiting Scholar with the Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, Kamloops, BC, Canada. His current research interests include evolutionary algorithms, machine learning, image reconstruction, and mathematical optimization. Dr. Abouhawwash was a recipient of the best master's and Ph.D. thesis awards from Mansoura University in 2012 and 2018, respectively. Dr. Shubham Mahajan (Member, IEEE, ACM) received the B.Tech. degree from Baba Ghulam Shah Badshah University, the M.Tech. degree from Chandigarh University and Ph.D. degree with Shri Mata Vaishno Devi University (SMVDU), Katra, India. He is working as a Assistant Professor with Ajeenkya D Y Patil University, Pune. He has eight Indian, one Australian, one German Patent to his credit in the area of artificial intelligence and image processing. He has authored/coauthored more than 50 publications including peer-reviewed journals and conferences. His main research interests include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods with applications in optimization, data mining, machine learning, robotics, and optical communication, and also received the 'Best Research Paper Award' from ICRIC 2019 (Springer, LNEE) and also received the Best Student Award-2019, IEEE Region-10 Travel Grant Award-2019, 2nd runner up prize in IEEE RAS HACKATHON-2019 (Bangladesh) and IEEE Student Early Researcher Conference Fund (SERCF-2020), Emerging Scientist Award-2021, and IEEE Signal Processing Society Professional Development Grant-2021. He was a Campus Ambassador for IEEE, IIT Bombay, Kanpur, Varanasi, Delhi and various MNC's. He is constantly looking for collaboration opportunities with foreign professors and students.
Inhaltsangabe
Chapter 1 A Review Approach on Deep Learning Algorithms in Computer Vision Chapter 2 Object Extraction from Real Time Color Images Using Edge Based Approach Chapter 3 Deep Learning Techniques for Image Captioning Chapter 4 Deep Learning Based Object Detection for Computer Vision Tasks: A Survey of Methods & Applications Chapter 5 Deep Learning Algorithms for Computer Vision: A Deep Insight into Principles and Applications Chapter 6 Handwritten Equation Solver Using Convolutional Neural Network Chapter 7 Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators Chapter 8 A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations Chapter 9 Comparison of Image Based and Audio Based Techniques for Bird-Species Identification Chapter 10 Detection of Ichthyosis Vulgaris Using SVM Chapter 11 Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach Chapter 12 Deep Learning Based Automatic Image Caption Generation for Visually Impaired People Chapter 13 Empirical Analysis of Machine Learning Techniques Under Class Imbalance and Incomplete Datasets Chapter 14 Gabor Filter As Feature Extractor in Anomaly Detection from Radiology Images Chapter 15 Discriminative Features Selection from Zernike Moments for Shape Based Image Retrieval System Chapter 16 Corrected Components of Zernike Moments for Improved Content Based Image Retrieval: A Comprehensive Study Chapter 17 Translate And Recreate Text in An Image Chapter 18 Multi-Label Indian Scene Text Language Identification: Benchmark Dataset and Deep Ensemble Baseline Chapter 19 AI Based Wearables for Healthcare Applications: A Survey of Smart Watches Chapter 20 Nature Inspired Computing for Optimization Chapter 21 Automated Smart Billing Cart for Fruits
Chapter 1 A Review Approach on Deep Learning Algorithms in Computer Vision Chapter 2 Object Extraction from Real Time Color Images Using Edge Based Approach Chapter 3 Deep Learning Techniques for Image Captioning Chapter 4 Deep Learning Based Object Detection for Computer Vision Tasks: A Survey of Methods & Applications Chapter 5 Deep Learning Algorithms for Computer Vision: A Deep Insight into Principles and Applications Chapter 6 Handwritten Equation Solver Using Convolutional Neural Network Chapter 7 Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators Chapter 8 A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations Chapter 9 Comparison of Image Based and Audio Based Techniques for Bird-Species Identification Chapter 10 Detection of Ichthyosis Vulgaris Using SVM Chapter 11 Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach Chapter 12 Deep Learning Based Automatic Image Caption Generation for Visually Impaired People Chapter 13 Empirical Analysis of Machine Learning Techniques Under Class Imbalance and Incomplete Datasets Chapter 14 Gabor Filter As Feature Extractor in Anomaly Detection from Radiology Images Chapter 15 Discriminative Features Selection from Zernike Moments for Shape Based Image Retrieval System Chapter 16 Corrected Components of Zernike Moments for Improved Content Based Image Retrieval: A Comprehensive Study Chapter 17 Translate And Recreate Text in An Image Chapter 18 Multi-Label Indian Scene Text Language Identification: Benchmark Dataset and Deep Ensemble Baseline Chapter 19 AI Based Wearables for Healthcare Applications: A Survey of Smart Watches Chapter 20 Nature Inspired Computing for Optimization Chapter 21 Automated Smart Billing Cart for Fruits
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