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Image Processing Methods Utilized

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Image Processing in Diabetic Related Causes

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References

  1. Shaik F, Giri Prasad MN, Swathi C, Somasekhar (2010) A detection of cardiac complications in diabetic patients using clahe method. In: Proceedings of International conference on aerospace electronics, Communications and Instrumentation (ASECI-2010), India, 6–7 Jan 2010, pp 344–347

    Google Scholar 

  2. Gonzalez RC, Woods RE (2002) Digital image processing, 1st edn. An imprint of Pearson Education, Addison-wesley, MA

    Google Scholar 

  3. Acharya T, Ray A (2005) Image processing: principles and applications. Wiley-Interscience, New Jersey (ISBN 0-471-71998-6)

    Google Scholar 

  4. Russ (2002) The Image processing handbook, 4th edn. CRC, Boca Raton, USA (ISBN 0-8493-2532-3)

    Google Scholar 

  5. http://radonc.ucsf.edu/research_group/jpouliot/tutorial/HU/Lesson7.htm

  6. Goskula T, Palsodkar PM Extracting salient region by image segmentation of color images using soft computing technique. In: Proceedings of International Conference on Emerging Trends in Signal Processing and VLSI Design (SPVL-2010), India, June 2010, pp 515–519

    Google Scholar 

  7. Centeno JS, Weindorf M (1999) Spatial information for image segmentation (cipa.icomos.org/text%20files/ olinda/99c414.pdf)

    Google Scholar 

  8. www.mathworks.com

  9. Foracchia M, Grisan E, Ruggeri A (2004) Detection of optic disc in retinal images by means of a geometrical model of vessel structure. IEEE Trans Med Imaging 23(10):1188–1195

    Google Scholar 

  10. Shaik F, Giriprasad MN (2010) Feature extraction from micrograph images using watershed segmentation approach. Int J Appl Eng Res.5(23–24):3665–3674 (ISSN 0973-4562)

    Google Scholar 

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Correspondence to Amit Kumar .

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Kumar, A., Shaik, F. (2016). Image Processing Methods Utilized. In: Image Processing in Diabetic Related Causes. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-287-624-9_3

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  • DOI: https://doi.org/10.1007/978-981-287-624-9_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-623-2

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