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Pneumonia Identification in Chest X-Ray Images Using EMD

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Trends in Communication, Cloud, and Big Data

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 99))

Abstract

Pneumonia is a common lung infection in which an individual’s alveoli fill up with fluid and form a cloudy-like structure. Pneumonia is of two types: (a) bacterial and (b) viral, but both the X-rays have a very similar pattern. The accurate identification along with how much extent the person is infected is still a challenge for doctors. In this paper, the use of EMD to correctly identify infected pneumonia lungs from normal non-infected lungs is shown. EMD, also known as Earth Mover’s Distance is the distance of two probability distributions over some region D. First, we preprocessed the images to just have the images of lungs, and then we did some re-scaling, rotation, and normalization of intensity so that we will have a set of uniform size/shape of lungs X-rays, and then, we calculated EMD and compared the results.

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Correspondence to Archit Khatri .

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Khatri, A., Jain, R., Vashista, H., Mittal, N., Ranjan, P., Janardhanan, R. (2020). Pneumonia Identification in Chest X-Ray Images Using EMD. In: Sarma, H., Bhuyan, B., Borah, S., Dutta, N. (eds) Trends in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-15-1624-5_9

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  • DOI: https://doi.org/10.1007/978-981-15-1624-5_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1623-8

  • Online ISBN: 978-981-15-1624-5

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