Electronics and Communications Technology

Research Notes on Computing and Communication Sciences

Intelligent Computing and Analytics in Image Processing
Editors: Samarjeet Borah, PhD
Jambi Ratna Raja Kumar, PhD
Laxmi Bewoor, PhD
Rahul Joshi, PhD
Mahendra Prabhakar Deore, PhD

Intelligent Computing and Analytics in Image Processing

In Production
Pub Date: Forthcoming November 2025
Hardback Price: $190 US | £150 UK
Hard ISBN: 9781779640765
Pages: Est. 269pp w/index
Binding Type: Hardback / ebook
Series: Research Notes on Computing and Communication Sciences
Notes: 130 b/w illustrations

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.

CONTENTS:
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 Domains
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
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


About the Authors / Editors:
Editors: Samarjeet Borah, PhD
Professor, Department of Computer Applications, SMIT, Sikkim Manipal University, Sikkim, India

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
Principal, Genba Sopanrao Moze College of Engineering, Balewadi, Pune, Maharashtra, India

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
Associate Professor, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India

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
Associate Professor, Symbiosis Institute of Technology, Pune, India

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
Assistant Professor, Computer Engineering Department, MKSSS Cummins College of Engineering for Women, 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.




Follow us for the latest from Apple Academic Press:
Copyright © 2025 Apple Academic Press Inc. All Rights Reserved.