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Detection of Normal and Abnormalities from Diabetics Patient’s Foot on Hyperspectral Image Processing

  • R. Hepzibai
  • T. Arumuga Maria Devi
  • P. Darwin
  • E. SenthilKumar
Chapter
  • 32 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)

Abstract

This paper’s proposed method known as assessment of diabetic foot abnormalities for normal and abnormal patients. To evaluate the diabetic foot by using filtered output from a contrast adjusted hyperspectral image and selecting the four seeds points to obtain the cropped image by adding the pepper and salt noisy and apply median filtering from noisy input in order to get the smoothen output image. Then, differentiate the output value normal and abnormal patients. Finally, assess the diabetic foot abnormalities by hyperspectral image. In this article, there are only some qualities which is to regulate enlarge the gap of the figure with chart the principles of the key concentration of figure to original ethics. The progress development is established to arrange in partial, to strengthen the noise which may be nearby in the figure. A number of the applications are included in medical field and geosciences field also.

Keywords

Hyperspectral imaging Median N-D filtering 4 seeds cropping EMR-Electro Medical Record Salt and pepper noise 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • R. Hepzibai
    • 1
  • T. Arumuga Maria Devi
    • 1
  • P. Darwin
    • 1
  • E. SenthilKumar
    • 1
  1. 1.Centre for Information Technology and EngineeringManonmaniam Sundaranar UniversityTirunelveliIndia

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