Name: Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)
SKU: 56962090
Price: 6013.12 MXN
Availability: InStock
Author: Raj, Alex Noel Joseph ; Mahesh, Vijayalakshmi G. V. ; Nersisson, Ruban
ISBN: 9781799866909

portada Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)

Formato

Libro Físico

Editorial

Engineering Science Reference

Autor

Raj, Alex Noel Joseph ; Mahesh, Vijayalakshmi G. V. ; Nersisson, Ruban

Idioma

Inglés

N° páginas

408

Encuadernación

Tapa Dura

Dimensiones

27.9x21.6x2.4 cm

Peso

1.23 kg.

ISBN13

9781799866909

Categorías

Sistemas y tecnología de captación de imágenes
Aprendizaje automático («machine learning»)
Reconocimiento de formas
Visión por ordenador

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)

Raj, Alex Noel Joseph ; Mahesh, Vijayalakshmi G. V. ; Nersisson, Ruban (Autor) · Engineering Science Reference · Tapa Dura

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Reseña del libro "Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments (en Inglés)"

Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.