Intelligent Computing and Analytics in Image Processing

Preface

Introduction

1. Deep Learning-Based Classification of Brain Tumor MRI Images for Cyber-Physical Machines with ResNet-50 and Image Augmentation

Mallellu Sai Prashanth, Ramesh Karnati, Muni Sekhar Velpuru, and H. Venkateshwara Reddy

2. Identification of Non-Proliferative Diabetic Retinopathy Stages Using the CLAHE of Data Preprocessing

Ajita Arvind Mahapadi, Vishal Shirsath, and Raj Gaurav Mishra

3. Optimized Deep Learning Model for Predicting Brain Tumors

Narayan B. Vikhe and Manish Shrivastava

4. Heart Disease Prediction Using Machine Learning

Sagar Janokar, Dnyaneshwar Kanade, Milind Rane, Tejas Kulkarni, Varad Kulkarni, and Yash Kulkarni

5. Deep Learning-Based Pneumonia Detection System Using VGG16 and Inception V3 for NIH Chest X-Ray Images

Sheela Chinchmalatpure, Chetanya Rathi, Harsh Dhabekar, and Harshit Mundhra

6. Comparative Study Using Deep Learning for Detecting Plant Type and Leaf Disease

Punam Khandar, Sandeep Nanda, Sarat Chandra Swain, and Deepali Bhende

7. Performance Analysis of Various Machine Learning Techniques for Fruit Classification and Counting from Images

Bishal Pradhan, Rajkiran Upadhyay, and Samarjeet Borah

8. An Analysis on Image Edge-Detection Techniques for Forensics Analysis

Vitthal Kamble and Nilesh Uke

9. Enabling Communication Strategies: Indian Alpha-Sign Gesture Recognition

Yogesh Borol, Ravindra Punekar, and Pravin Futane

10. Evaluating Face Detection for Real-Time Emotion Recognition

Harshvardhan Patil, Pawan Wawage, and Yogesh Deshpande

11. Deep Learning-Based Song Recommendation System Using Facial Expression

Sheela Chinchmalatpure, Tanushree Prakash Kanade, Purva Sarvade, Gaurav Zanwar, Sharvari Dhage, Ashitosh Wankhade, and Tanuj Somani

12. Sketch-to-Photo Synthesis Using the Autoencoder-Kalman Filter

Jyoti S. Raghatwan and Sandhya Arora

13. Comparative Review of Image Filtering in Spatial and Frequency Domain

Prashant Singh, Chittaranjan Pradhan, and Pradeep Kumar Mallick

14. An Analysis on Feature Descriptors Used in Computer Vision

Tukaram Ugile and Nilesh Uke

15. Monitoring of Human Poses for Tracking Gym Activities

Ajitkumar Sureshrao Shitole, Mahesh Gaikwad, Pranav Gaikwad, Prathamesh Bhise, and Yash Dusane

16. Enhancing Heart Failure Survivability Prediction: A Machine Learning Approach Using SMOTE and Decorate Ensemble of a C4.5 Decision Tree

Kalyani Kadam, Rahul Joshi, Jambi Ratna Raja Kumar, and Kishor Renukadasrao Pathak

17. Utilizing Adaptive Feature Scaling and Dynamic Contextual Graph Networks to Improve Captioning of Images through the Recognition of Unseen Relationships

Yugandhara A. Thakare, K. H. Walse, and Mohammad Atique

Index

Biography

Samarjeet Borah, PhD, is Professor and Head of the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has led funded research projects, published research papers in peer reviewed journals and conference proceedings, and organized numerous national and international workshops and conferences. He has contributed to several book volumes and journals published by leading publishers and serves as Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences.

Jambi Ratna Raja Kumar, PhD, is the Principal of Genba Sopanrao Moze College of Engineering, Pune, Maharashtra, India. With over 17 years of teaching and research experience, he has published research papers and has seven patents on artificial intelligence and machine learning. He has guided many undergraduate, postgraduate, and PhD students and has received several awards, including being named Distinguished Principal at the Dr. APJ Abdul Kalam Puraskar 2022 and Best Innovative Leader of the Year (Maharashtra) at the Asia Education Summit and Awards 2019.

Laxmi Bewoor, PhD, is an Associate Professor of Computer Engineering at the Vishwakarma Institute of Information Technology, India. She holds six international patents, has published articles in journals and conferences, and is a reviewer for leading journals. Dr. Bewoor is also a resource person for several academic institutes. She has chaired sessions at international conferences and collaborated with many industries and research organizations.

Rahul Raghvendra Joshi, PhD, is an Associate Professor at the Symbiosis Institute of Technology, Pune, India. He has more than 17 years of experience and over 100 publications to his name. He is a reviewer for reputed Scopus-indexed journals. His research areas include computational intelligence, multicriteria decision-making, blockchain, and cloud computing.

Mahendra Prabhakar Deore, PhD, is an Assistant Professor of Computer Engineering at MKSSS’s Cummins College of Engineering for Women, Pune, India. With over 16 years of dedicated teaching experience at the undergraduate level, he possesses deep knowledge and expertise in this domain. Throughout his academic journey, Dr. Deore has authored and published more than 20 SCI- and Scopusindexed research papers.