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Medical Image Thresholding Using Particle Swarm Optimization

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Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 308))

Abstract

Image processing has been serving as one major part of medical science since 1980s as automation of image analysis offers better results in efficient time period to help specialists in diagnosis and eradication of diseases. Most frequently, medical fields face different cases of detecting tumors, kidney stones, fractures in bones, etc. through various images such as ultrasound images and X-ray images. But it is very difficult for identification of some particular structure in some medical images. Hence, such images need more improvement in terms of noise reduction and segmentation. Image thresholding is a kind of segmentation process which partitions the image into different objects. Particle swarm optimization (PSO) is one bio-inspired optimization technique which gets one optimized threshold value for image thresholding in this paper using proper fitness function.

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References

  1. Duraisamy, S.P., Kayalvizhi, R.: A new multilevel thresholding method using swarm intelligence algorithm for image segmentation. J. Intell. Learn. Syst. Appl. 2, 126–138 (2010)

    Google Scholar 

  2. Kapur, J.N., Sahoo, P.K., Wong, A.K.C.: A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 29, 273–285 (1985)

    Article  Google Scholar 

  3. Kennedy, J., Eberhart, R.: Particle Swarm Optimization, pp. 1942–1948. IEEE (1995)

    Google Scholar 

  4. Kennedy, J., Eberhart, R.: Particle Swarm Optimization, Developments, Applications and Resources. IEEE (2001)

    Google Scholar 

  5. Mishra, D., Bose, I., Das, M.N., Mishra, B.S.P.: Detection and reduction of impulse noise in RGB color image using fuzzy technique. Distributed Computing and Internet Technology, LNCS, vol. 8337, pp. 299–310. ICDCIT, Springer, February 2014

    Google Scholar 

  6. Ritter, G.X., Wilson, J.N.: Handbook of Computer Vision Algorithms in Image Algebra, 2nd edn. CRC Press, Boca Raton (2001)

    MATH  Google Scholar 

  7. Sahoo, P.K., Soltani, S., Wong, A.K.C.: A survey of thresholding techniques. Comput. Vis. Graph. Image Process. 41(2), 233–260 (1998)

    Article  Google Scholar 

  8. Saini, K., Dewal, M.L., Rohit, M.K.: Ultrasound imaging and image segmentation in the area of ultrasound: a review. Int. J. Adv. Sci. Technol. 24, 41–59 (2010)

    Google Scholar 

  9. Sezgin, M., Sankar, B.: Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13(1), 146–165 (2004)

    Article  Google Scholar 

  10. Wang, X., Wong, B.S.: X-ray image segmentation based on genetic algorithm and maximum fuzzy entropy. Conference on Robotics, Automation and Mechatronics. IEEE, pp. 991–995 (2004)

    Google Scholar 

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Correspondence to Debashis Mishra .

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Mishra, D., Bose, I., De, U.C., Das, M. (2015). Medical Image Thresholding Using Particle Swarm Optimization. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 308. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2012-1_39

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  • DOI: https://doi.org/10.1007/978-81-322-2012-1_39

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2011-4

  • Online ISBN: 978-81-322-2012-1

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