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Performance Evaluation and Comparative Study of Color Image Segmentation Algorithm

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Advanced Informatics for Computing Research (ICAICR 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 712))

Abstract

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.

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Acknowledgment

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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Authors and Affiliations

  1. Botho University, Gaborone, Botswana

    Rajiv Kumar

  2. BNM Institute of Technology, Bangalore, India

    S. Manjunath

Authors
  1. Rajiv Kumar
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  2. S. Manjunath
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Corresponding author

Correspondence to Rajiv Kumar .

Editor information

Editors and Affiliations

  1. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  2. IIT Roorkee, Roorkee, India

    Balasubramanian Raman

  3. CTIEMT, Jalandhar, Punjab, India

    Ashish Kumar Luhach

  4. Department of Mathematics and Computing Science, Saint Mary’s University, Halifax, Nova Scotia, Canada

    Pawan Lingras

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Kumar, R., Manjunath, S. (2017). Performance Evaluation and Comparative Study of Color Image Segmentation Algorithm. In: Singh, D., Raman, B., Luhach, A., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2017. Communications in Computer and Information Science, vol 712. Springer, Singapore. https://doi.org/10.1007/978-981-10-5780-9_12

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  • DOI: https://doi.org/10.1007/978-981-10-5780-9_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5779-3

  • Online ISBN: 978-981-10-5780-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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