Name: A Beginner'S Guide to Multilevel Image Thresholding (Intelligent Signal Processing and Data Analysis) (en Inglés)
Price: 163.57 USD
Availability: InStock
Author: Venkatesan Rajinikanth; Nadaradjane Sri Madhava Raja; Nilanjan Dey
ISBN: 9780367503147

portada A Beginner'S Guide to Multilevel Image Thresholding (Intelligent Signal Processing and Data Analysis) (en Inglés)

A Beginner'S Guide to Multilevel Image Thresholding (Intelligent Signal Processing and Data Analysis) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Venkatesan Rajinikanth; Nadaradjane Sri Madhava Raja; Nilanjan Dey

Año

2020

Idioma

Inglés

N° páginas

118

Encuadernación

Tapa Dura

ISBN13

9780367503147

N° edición

Categorías

Aplicaciones gráficas y multimedia

A Beginner'S Guide to Multilevel Image Thresholding (Intelligent Signal Processing and Data Analysis) (en Inglés)

Venkatesan Rajinikanth; Nadaradjane Sri Madhava Raja; Nilanjan Dey (Autor) · Crc Press · Tapa Dura

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Reseña del libro "A Beginner'S Guide to Multilevel Image Thresholding (Intelligent Signal Processing and Data Analysis) (en Inglés)"

A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding Illustrates integration of the thresholding technique with bio-inspired algorithms Includes current findings and future directions of image multi-level thresholding and its practical implementation Emphasizes the need for multi-level thresholding with suitable examples The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.