Computer vision and image analysis for industry 4.0 / edited by Nazmul Siddique, Mohammad Shamsul Arefin, Md Atiqur Rahman Ahad, and M. Ali Akber Dewan.

Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, 2023.
Descriptionpages cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects
Computer vision.
Image analysis.
Image processing--Digital techniques.
Industry 4.0

Other author/creatorSiddique, N. H.
Other author/creatorArefin, Mohammad Shamsul.
Other author/creatorAhad, Md. Atiqur Rahman.
Other author/creatorDewan, M. Ali Akber.
Contents BN-HTRD : a benchmark dataset for document level offline Bangla handwritten text recognition (HTR) and line seg-mentation -- A new approach using convolutional neural network for crops and weeds classification -- Lemon fruits detection and instance segmentation under orchard environment using mask R-CNN and YOLOv -- A deep learning approach in detailed fingerprint identification -- Probing skin lesions and performing classification of skin cancer using efficientnet while resolving class imbalance using SMOTE -- Advanced GradCAM++ : improved visual explanations of CNN's decision in diabetic retinopathy -- Bangla sign language recognition using concatenated BdSL network -- ChestXRNet : a multi-class deep convolutional neural net-works for detecting abnormalities in chest X-ray images -- Achieving human level performance on the original Omniglot challenge -- A real-time classification model for Bengali character recognition in air-writing -- A deep learning approach for Covid-19 detection in chest X-Rays -- Automatic image captioning using deep learning -- A convolutional neural network based approach to recognize Bangla handwritten characters -- Flood region detection based on K-means algorithm and color probability -- Fabrication of smart eye controlled wheelchair for disabled person.
Abstract "Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles to automation and quality assurance"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022029347
ISBN9781032164168 (hardback)
ISBN9781032187624 (paperback)
ISBN(ebook)

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