Pneumonia Identifikasi Pneumonia Pada Citra Rontgen Paru Menggunakan Metode Power-Law Trans

Indonesia

  • Kadek Batubulan Politeknik Negeri Malang
  • Ridwan Rismanto Politeknik Negeri Malang
Keywords: Power-law Trans, Pneumonia, Gabor Wavelet dan Boundary.

Abstract

This paper proposes a system for pneumonia disease classification using X-rays images. This research explores various steps of image processing namely Power-Law Trans, Gabor Wavelet and Boundary. The main aim of this step is to identify infiltrate of human lungs X-Ray images and quantify the infiltration. The result indicates the classification of pneumonia disease into normal, mild pneumonia, and chronic pneumonia.

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References

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Published
2021-02-23
How to Cite
[1]
K. Batubulan and R. Rismanto, “Pneumonia Identifikasi Pneumonia Pada Citra Rontgen Paru Menggunakan Metode Power-Law Trans ”, JIP, vol. 7, no. 2, pp. 73-78, Feb. 2021.

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