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Vol.9, No.1, February 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Edge Detection of Cavity for Identification Tuberculosis Patient in Thorax X-Ray Image
Julius Santony, Johan Harlan, Syafrika Deni Rizki, Yuhandri, Jufriadif Na`am
© 2020 Jufriadif Na`am, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 1, Pages 67-72, ISSN 2217-8309, DOI: 10.18421/TEM91-10, February 2020.
Received: 05 October 2019. Revised: 04 February 2020.
Abstract:
Thorax x-ray images are used to identify tuberculous cavities. Sometimes it is difficult to detect the cavity and determine its extent in unprocessed digital image. Image processing serves to help the identification. The method used in this study is Morphological Segmentation and Unsharp Masking. The total number of images which were to be processed was 42 , yet only one of them is completely presented and discussed in this article. In all of the post processed images, it can identify tuberculosis cavity and measure its area.
Keywords –Edge Detection, Medical Image, Segmentation, X-Ray Image, Tuberculous Cavity. |
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