<p><span>In a highly authoritative and systematic manner, this book offers an in-depth treatment of the essence of the caseโbased reasoning strategy and case-based design dwelling upon the algorithmic facet of the paradigm. It provides an excellent applied research framework by showing how this deve
Intelligent Computing: Image Processing Based Applications
โ Scribed by J. K. Mandal, Soumen Banerjee
- Publisher
- Springer Singapore;Springer
- Year
- 2020
- Tongue
- English
- Leaves
- 180
- Series
- Advances in Intelligent Systems and Computing 1157
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book features a collection of extended versions of papers presented at OPTRONIX 2019, held at the University of Engineering & Management, Kolkata, India, on 18 โ 20, March 2019. It includes research on the detection of skin disease, breast tumors, lung cancer and rotten fruit based on intelligent image processing applications, intelligent computing, neuro-fuzzy applications, soil moisture prediction, intelligent encryption and authentication, as well as image analysis and image analytics.
โฆ Table of Contents
Front Matter ....Pages i-x
A Review of Object Detection Models Based on Convolutional Neural Network (F. Sultana, A. Sufian, P. Dutta)....Pages 1-16
Cancerous Cell Detection Using Affine Transformation with Higher Accuracy and Sensitivity (Soumen Santra, Joy Bhattacherjee, Arpan Deyasi)....Pages 17-34
A Comparative Study of Different Feature Descriptors for Video-Based Human Action Recognition (Swarnava Sadhukhan, Siddhartha Mallick, Pawan Kumar Singh, Ram Sarkar, Debotosh Bhattacharjee)....Pages 35-52
Pose Registration of 3D Face Images (Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri)....Pages 53-71
Image Denoising Using Generative Adversarial Network (Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri)....Pages 73-90
Deep Learning-Based Lossless Audio Encoder (DLLAE) (Uttam Kr. Mondal, Asish Debnath, J. K. Mandal)....Pages 91-101
A New Repeated Pixel Value Difference-Based Steganographic Scheme with Overlapped Pixel (Partha Chowdhuri, Pabitra Pal, Biswapati Jana, Debasis Giri)....Pages 103-118
Lattice-Based Fuzzy Medical Expert System for Management of Low Back Pain: A Preliminary Design (Debarpita Santra, S. K. Basu, J. K. Mandal, Subrata Goswami)....Pages 119-129
An Optimized Intelligent Dermatologic Disease Classification Framework Based on IoT (Shouvik Chakraborty, Sankhadeep Chatterjee, Kalyani Mali)....Pages 131-151
Transfer Learning Coupled Convolution Neural Networks in Detecting Retinal Diseases Using OCT Images (Kyamelia Roy, Sheli Sinha Chaudhuri, Probhakar Roy, Sankhadeep Chatterjee, Soumen Banerjee)....Pages 153-173
โฆ Subjects
Engineering; Computational Intelligence; Image Processing and Computer Vision; Multimedia Information Systems
๐ SIMILAR VOLUMES
<p><span>Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the bodyโs surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ail
<p><span>This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem โ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores th
<p><span>This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem โ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores th
Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer ele
<span>Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this boo