A Beginner's Guide to Multilevel Image Thresholding

ebook Intelligent Signal Processing and Data Analysis

By Venkatesan Rajinikanth

cover image of A Beginner's Guide to Multilevel Image Thresholding

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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
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    The 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