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Titolo: | Intelligent computing : image processing based applications / / J.K. Mandal, Soumen Banerjee,.editors |
Pubblicazione: | Singapore : , : Springer, , [2020] |
©2020 | |
Descrizione fisica: | 1 online resource (180 pages) : illustrations |
Disciplina: | 006.3 |
Soggetto topico: | Computational intelligence |
Optical data processing | |
Multimedia information systems | |
Artificial intelligence | |
Computational Intelligence | |
Image Processing and Computer Vision | |
Multimedia Information Systems | |
Artificial Intelligence | |
Persona (resp. second.): | MandalJ. K. |
BanerjeeSoumen | |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | A Review of Object Detection Models based on Convolutional Neural Network -- Cancerous Cell Detection using Affine Transformation with Higher Accuracy and Sensitivity -- A Comparative Study of Different Feature Descriptors for Video Based Human Action Recognition -- Pose Registration of 3D Face Images -- Image De-noising using Generative Adversarial Network -- Deep Learning based Lossless Audio Encoder (DLLAE) -- A new repeated pixel value di_erence based steganographic scheme with overlapped pixel -- Lattice-Based Fuzzy Medical Expert System for Management of Low Back Pain: A Preliminary Design -- An Optimized Intelligent Dermatologic Disease Classification Framework based on IoT -- Transfer learning coupled Convolution Neural Networks in detecting Retinal diseases using OCT images. |
Sommario/riassunto: | 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 – 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. |
Titolo autorizzato: | Intelligent Computing |
ISBN: | 981-15-4288-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484922203321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |