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Suggested Algorithms for Blood Cell Images

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Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

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Abstract

Morphological mathematics is a powerful tool for image segmentation. The watershed is popularly used for multiple object images. In this paper, a new watershed algorithm without considering accurate boundary information is presented, for grey scale image segmentation, and Morphological mathematics is also used for cluster splitting. The result of running this algorithm shows that blood cell image can be well segmented using the proposed algorithm. A genetic algorithm is suggested for the further study.

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, W., Zhao, Q., Luo, W. (2006). Suggested Algorithms for Blood Cell Images. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_59

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  • DOI: https://doi.org/10.1007/11903697_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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