Color Blindness Image Segmentation Using Rho-Theta Space

Conference paper

Abstract

Segmentation of color information in RGB space is considered as the detection of clouds in rho-theta space. The conversion between RGB space and rho-theta space is first derived. Then the peak detection in the cloud-like rho-theta image is developed for color plane segmentation. The color blindness images are used for illustrations and experiments. Results confirm the feasibility of the proposed method. In addition, the segmentation of pattern and background for a color blindness image is also further demonstrated by means of the spatial distance computation among segmented color planes as well as the traditional K-means algorithm.

Keywords

Cloud image Color blindness image Image segmentation K-means Peak detection RGB Rho-theta space 

Notes

Acknowledgements

This work was supported in part by the Ministry of Science and Technology, Taiwan, Republic of China, under the grant number MOST103-2221-E-155-040 and MOST105-2221-E-155-063.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringYuan Ze UniversityTaoyuanTaiwan, ROC
  2. 2.School of Physics and Telecommunication EngineeringSouth China Normal UniversityGuangzhouPeople’s Republic of China

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