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A Segmentation Method for Comprehensive Color Feature with Color-to-Grayscale Conversion Using SVD and Region-Growing Method

  • N. Jothiaruna
  • K. Joseph Abraham SundarEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1045)

Abstract

Segmenting disease spots in leafs is achieved by Comprehensive Color feature (CCF), grayscale conversion and region growing method is discussed. Segmenting disease spots under real-field conditions with uneven illumination and clutter background has been a major challenge. Uneven illumination issues solves by applying Excess Red index, H component of HSV and grayscale conversion by using SVD, clutter background problem solves by applying region-growing method. Performance of these methods is calculated using precision, and its accurate segmentation is 89% under real-field condition.

Keywords

Segmentation Grayscale conversion Singular value decomposition Region growing Disease spots 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of ComputingSASTRA Deemed UniversityThanjavurIndia
  2. 2.Computer Vision and Soft Computing Lab, School of ComputingSASTRA Deemed UniversityThanjavurIndia

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