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Multi-level Thresholding and Quantization for Segmentation of Color Images

  • Shailesh T. KhandareEmail author
  • Nileshsingh V. Thakur
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 165)

Abstract

Image segmentation is a complex problem, in particular to color images. Different mechanisms exist for the gray-level image segmentation, but a very less work exists for the color image segmentation. Thresholding is the technique which is, in general, used for the gray-level image segmentation. This paper presents an approach for the color image segmentation using the thresholding logic. This paper describes the mechanism to find the multi-level thresholds in view of color image segmentation. The presented procedure uses the histogram to find the multi-level thresholds. Weights, mean, variance and within-class variance are used to find the multi-level thresholds. Experimentations are carried out on the BSD color image dataset.

Keywords

Color image Image segmentation Thresholding 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.JSPM’s Babasaheb Naik College of EngineeringPusadIndia
  2. 2.Nagpur Institute of TechnologyNagpurIndia

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