This new book, Intelligent Computing and Analytics in Image Processing, explores the amalgamation of intelligent computing, analytics, and image processing, introducing novel applications of smart technologies in image processing and presenting new solutions to image processing challenges.
The volume discusses the processing of biological and biomedical imaging, looking at machine learning and deep learning for diagnosis and detection of brain tumors, diabetes, pneumonia, heart disease, etc., in humans. The chapters also look at other applications of intelligent computing and machine learning in image processing, such as for detecting plant type and leaf disease, classifying and counting fruit, for forensics analysis, for face detection emotion, for sketch-to-photo synthesis, and more. Deep learning techniques such as convolutional neural network (CNN) and inception v3 contrast limited adaptive histogram equalization (CLAHE) and others are also discussed in detail.
Covering myriad advanced applications of intelligent technologies in image processing in diverse areas, this volume will valuable to researchers as well as professionals and students from various fields involved in intelligent computing and image processing.
Table of Contents:
Preface Introduction 1. Deep Learning-Based Classification of Brain Tumor MRI Images for Cyber-Physical Machines with ResNet-50 and Image Augmentation 2. Identification of Non-Proliferative Diabetic Retinopathy Stages Using the CLAHE of Data Preprocessing 3. Optimized Deep Learning Model for Predicting Brain Tumors 4. Heart Disease Prediction Using Machine Learning 5. Deep Learning-Based Pneumonia Detection System Using VGG16 and Inception V3 for NIH Chest X-Ray Images 6. Comparative Study Using Deep Learning for Detecting Plant Type and Leaf Disease 7. Performance Analysis of Various Machine Learning Techniques for Fruit Classification and Counting from Images 8. An Analysis on Image Edge-Detection Techniques for Forensics Analysis 9. Enabling Communication Strategies: Indian Alpha-Sign Gesture Recognition 10. Evaluating Face Detection for Real-Time Emotion Recognition 11. Deep Learning-Based Song Recommendation System Using Facial Expression 12. Sketch-to-Photo Synthesis Using the Autoencoder-Kalman Filter 13. Comparative Review of Image Filtering in Spatial and Frequency Domains 14. An Analysis on Feature Descriptors Used in Computer Vision 15. Monitoring of Human Poses for Tracking Gym Activities 16. Enhancing Heart Failure Survivability Prediction: A Machine Learning Approach Using SMOTE and DECORATE 17. Utilizing Adaptive Feature Scaling and Dynamic Contextual Graph Networks to Improve Captioning of Images through the Recognition of Unseen Relationships Index
About the Author :
Samarjeet Borah, PhD, is currently working as Professor and Head in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from All India Council for Technical Education (AICTE) and DST-CSRI ((Government of India), etc. He has organized various workshops and conferences at national and international levels. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience, and IGI Global as editor or guest editor. He is the editor-in-chief of the book series Research Notes on Computing and Communication Sciences, published by Apple Academic Press, USA. His areas of research are data mining, data science, and machine learning.
Jambi Ratna Raja Kumar, PhD, is a Principal at the Genba Sopanrao Moze College of Engineering, Balewadi, Pune, Maharashtra, India. He has 17 years of teaching and research work. He has published more than 22 Scopus- and SCI-indexed research papers and has seven patents published at the national and international level on artificial intelligence and machine learning. He has guided 75 undergraduate projects, 25 postgraduate projects, and three PhD candidates. He was awarded as Distinguished Principal at Dr. APJ Abdul Kalam Puraskar 2022 and as Best Innovative Leader of the Year (Maharashtra) at the Asia Education Summit & Awards 2019.
Laxmi Bewoor, PhD, is currently an Associate Professor in the Department of Computer Engineering at the Vishwakarma Institute of Information Technology, Pune, India. Her research interests include natural language processing, metaheuristics techniques, deep learning, artificial intelligence, and algorithms. She has successfully completed one funded research project. She holds six international patents and has published more than 37 research articles in reputed journals and conferences. She is a reviewer of leading journals published by Springer, Elsevier, and IEEE. Dr. Bewoor is also working as a resource person for various academic institutes and has chaired sessions for many international conferences. She has collaborated with many industries and research organization and has successfully deployed many industry research projects, one of which was successfully deployed at CleverInsight, USA. She is a recognized postgraduate teacher and PhD guide at S. P. Pune University. She has been awarded best performer awards four times at her institute. She holds a PhD in Artificial Intelligence with a minor in Optimization.
Rahul Joshi, PhD, is an Associate Professor at the Symbiosis Institute of Technology, Pune, India. He has more than 17 years of experience and has more than 100 publications in different reputed journals. He is a reviewer for reputed Scopus-indexed journals and IEEE Access journals. His research areas include computational intelligence, multicriteria decision-making, blockchain, and cloud computing. He earned his masters degree at IIT, Bombay, and his PhD at Symbiosis International (Deemed University), Pune, India.
Mahendra Prabhakar Deore, PhD, is currently serving as an Assistant Professor in the Computer Engineering Department at MKSSS Cummins College of Engineering for Women, Pune, India. Having earned a doctorate in Computer Science and Engineering, Dr. Deore boasts an impressive academic history. With over 16 years of dedicated teaching experience at the undergraduate level, he possesses a profound reservoir of knowledge and expertise in this domain. Throughout the course of his academic journey, Dr. Deore has authored and published more than 20 SCI- and SCOPUS-indexed research papers. His primary areas of interest encompass big data, security, computer networks, and machine learning. He earned his Master of Technology degree at Bharati Vidyapeeth Deemed University College of Engineering, Dhankawadi, Pune, India.
