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Skin Segmentation and Skull Segmentation for Medical Imaging

TJANDRA, ERIC YOGI and Liliana, (2015) Skin Segmentation and Skull Segmentation for Medical Imaging. Jurnal Informatika, 12 (2). pp. 57-62. ISSN 1411-0105

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    Abstract

    in this paper aims we present tolls for medical imaging application to do skin and skull segmentation in a short time. the desired output for skin segmentation is a 3D visualization of the facial skin without any cavities or holes inside the head, while skull segmentation aims to create a 3D visualization of the skull bones. the algorithm used for skin segmentation is thresholding the image, extracting the largest connected component. afterwards, mesh generation is done to produce the 3D objects from the processed images. this mesh generation process is done using the marching cubes algorithm. the testing results show that the skin and skull segmentation process will work well when there are no other objects that are connected to the skin or the skull. skin segmentation process takes a significant amount of time, primarily caused by the holefilling process.

    Item Type: Article
    Additional Information:
    Uncontrolled Keywords: medical image, segmentation, largest connected component
    Subjects: Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Industrial Technology > Informatics Engineering Department
    Depositing User: Admin
    Date Deposited: 22 Jan 2016 23:22
    Last Modified: 17 Jul 2019 10:36
    URI: https://repository.petra.ac.id/id/eprint/17320

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