TY - BOOK AU - Malarvel,Muthukumaran AU - Nayak,Soumya Ranjan AU - Pattnaik,Prasant Kumar AU - Panda,Sury Narayan TI - Machine vision inspection systems SN - 9781119786092 AV - TA1634 .M3354 2020eb U1 - 006.3/7 23 PY - 2021/// CY - Beverly, MA PB - Scrivener Publishing KW - Computer vision KW - Industrial applications KW - Engineering inspection KW - Automation KW - Image processing KW - Digital techniques KW - Electronic books N1 - Includes bibliographical references and index; Machine Learning-Based Virus Type Classification Using Transmission Electron Microscopy Virus Images / Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Chittaranjan Mallick -- Capsule Networks for Character Recognition in Low Resource Languages / C Abeysinghe, I Perera, DA Meedeniya -- An Innovative Extended Method of Optical Pattern Recognition for Medical Images With Firm Accuracy-4f System-Based Medical Optical Pattern Recognition / Priya EL Dhivya, D Jeyabharathi, KS Lavanya, S Thenmozhi, R Udaiyakumar, A Sharmila -- Brain Tumor Diagnostic System-A Deep Learning Application / T Kalaiselvi, ST Padmapriya -- Machine Learning for Optical Character Recognition System / Gurwinder Kaur, Tanya Garg -- Surface Defect Detection Using SVM-Based Machine Vision System with Optimized Feature / Ashok Kumar Patel, Venkata Naresh Mandhala, Dinesh Kumar Anguraj, Soumya Ranjan Nayak -- Computational Linguistics-Based Tamil Character Recognition System for Text to Speech Conversion / S Suriya, M Balaji, TM Gowtham, Kumar S Rahul -- A Comparative Study of Different Classifiers to Propose a GONN for Breast Cancer Detection / Ankita Tiwari, Bhawana Sahu, Jagalingam Pushaparaj, Muthukumaran Malarvel -- Mexican Sign-Language Static-Alphabet Recognition Using 3D Affine Invariants / Guadalupe Carmona-Arroyo, Homero V Rios-Figueroa, Martha Lorena Avendao-Garrido -- Performance of Stepped Bar Plate-Coated Nanolayer of a Box Solar Cooker Control Based on Adaptive Tree Traversal Energy and OSELM / S Shanmugan, FA Essa, J Nagaraj, Shilpa Itnal -- Applications to Radiography and Thermography for Inspection / Inderjeet Singh Sandhu, Chanchal Kaushik, Mansi Chitkara -- Prediction and Classification of Breast Cancer Using Discriminative Learning Models and Techniques / M Pavithra, R Rajmohan, T Ananth Kumar, R Ramya -- Compressed Medical Image Retrieval Using Data Mining and Optimized Recurrent Neural Network Techniques / Vamsidhar Enireddy, C Karthikeyan, Kumar T Rajesh, Ashok Bekkanti -- A Novel Discrete Firefly Algorithm for Constrained Multi-Objective Software Reliability Assessment of Digital Relay / Madhusudana Rao Nalluri, K Kannan, Diptendu Sinha Roy N2 - Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process. This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches UR - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119786122 ER -