{
"item_title" : "A Beginner's Guide to Multilevel Image Thresholding",
"item_author" : [" Venkatesan Rajinikanth", "Nadaradjane Sri Madhava Raja", "Nilanjan Dey "],
"item_description" : "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 outcomeDescribes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholdingIllustrates integration of the thresholding technique with bio-inspired algorithmsIncludes current findings and future directions of image multi-level thresholding and its practical implementationEmphasizes 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.",
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A Beginner's Guide to Multilevel Image Thresholding
Other Available Formats
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9780367503147
- ISBN-10: 036750314X
- Publisher: CRC Press
- Publish Date: November 2020
- Dimensions: 9.3 x 6.2 x 0.5 inches
- Shipping Weight: 0.7 pounds
- Page Count: 104
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