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Automated Histogram-Based Seed Selection for the Segmentation of Natural Scene

  • R. AarthiEmail author
  • S. Shanmuga Priya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 766)

Abstract

Images have been widely used in today’s life varying from personal usage with Flickr, Facebook to the analysis of hyperspectral images. Availability of such huge volume of images in digital form requires an automatic analysis on visual content. The major challenge in content labeling is in segmentation, which divides the image into regions. Our work focuses on the segmentation technique that adapts based on regions in the natural images. The proposed method used automatic seed selection by analyzing the dynamic color distribution of the image. The experimental results on datasets show the better performance of our method.

Keywords

Histogram Seeded region Segmentation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAmrita School of EngineeringCoimbatoreIndia
  2. 2.Amrita Vishwa VidyapeethamCoimbatoreIndia

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