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Nadaradjane Sri Madhava Raja

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2020-2024, suosituimpien joukossa A Beginner’s Guide to Multilevel Image Thresholding. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

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Kirjojen julkaisuhaarukka 2020-2024.

A Beginner’s Guide to Multilevel Image Thresholding

A Beginner’s Guide to Multilevel Image Thresholding

Venkatesan Rajinikanth; Nadaradjane Sri Madhava Raja; Nilanjan Dey

TAYLOR FRANCIS LTD
2024
nidottu
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 examplesThe book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.
A Beginner’s Guide to Multilevel Image Thresholding

A Beginner’s Guide to Multilevel Image Thresholding

Venkatesan Rajinikanth; Nilanjan Dey; Nadaradjane Sri Madhava Raja

CRC Press
2020
sidottu
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 examplesThe book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.