Performance Evaluation and Comparative Study of Color Image Segmentation Algorithm

  • Rajiv KumarEmail author
  • S. Manjunath
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 712)


In this research paper, authors have been proposed the color image segmentation algorithm by using HSI (hue, saturation and intensity) color model. The HSI color model is used to get the color information of the given image. The boundary of the image is extracted by using edge detection algorithm, whereas, the image regions are filled where the boundaries make the closure. Both HSI color information and edge detection are applied separately and simultaneously. The color segmented image is obtained by taking the union of HSI color information and edge detection. The performance of the proposed algorithm is evaluated and compared with existing region-growing algorithm by considering three parameters, precision (P), recall (R) and F1 value. The accuracy of the proposed algorithm is also measured by using precision-recall (PR) and receiver operator characteristics (ROC) analysis. The efficiency of the proposed algorithm has been tested on more than 1500 images from UCD (University College Dublin) image dataset and other resources. The experiment results show that the efficiency of proposed algorithm is found very significant. MATLAB is used to implement the proposed algorithm.

Index Terms

Color Edge detection Image processing Image segmentation MATLAB 



The first author (R.K.) is grateful to the Management, the Dean, the HOD and all staff members of Faculty of Computing department, Botho University, Gaborone, Botswana for their valuable support. The work of the second author (S.M.) was supported and encouraged by the Management, the Director, the Dean and the Principal of BNMIT, Bangalore, India.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Botho UniversityGaboroneBotswana
  2. 2.BNM Institute of TechnologyBangaloreIndia

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