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All Journal Komunikasi Fisika Indonesia JOURNAL ONLINE OF PHYSICS
Sintha Syaputri
Universitas Riau
Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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SEGMENTASI CITRA PARU-PARU MENGGUNAKAN METODE KONTUR AKTIF DENGAN VALIDASI ROC Sintha Syaputri; Zulkarnain Zulkarnain
Komunikasi Fisika Indonesia Vol 16, No 2 (2019)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.359 KB) | DOI: 10.31258/jkfi.16.2.91-95

Abstract

Segmentation is the process of separating parts of objects from the background by dividing images that have different object intensities with each other such as in imaging of body parts. Active contour segmentation was used for medical imaging that resistant to noise around objects. This study used 5 chest X-Ray images, specifically to the lungs with a grayscale format measuring 256 x 256 pixels, through the preprocessing process and filtering  a Gaussian filter, each image was inputted to the R2015a version of the matlab GUI program. Then the segmentation had done by using the active contour method. In this method a curve in the form of a small circle was placed on the edge of object to be segmented. The curve will move according to the shape of the outer edge of the lung based on the values of active contour parameters such as Alpha, Beta, Gamma, Kappa, WEline, WEdge, WEterm and Iteration. Validation was done by using the ROC (Receiver Operating Characteristic) method and were obtained an average percentage with an accuracy value of 96.26%, a specificity of 96.47% and a sensitivity of 76.54%.
SEGMENTASI CITRA THORAX PARU-PARU MANUSIA DARI SINAR-X MENGGUNAKAN METODE KONTUR AKTIF Sintha Syaputri; Zulkarnain
JOURNAL ONLINE OF PHYSICS Vol. 4 No. 2 (2019): JOP (Journal Online of Physics) Vol 4 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.635 KB) | DOI: 10.22437/jop.v4i2.7577

Abstract

Research on medical image objects in the form of lung images of thoracic X-Rayis increasingly being developed because the information contained in medical images is used to analyze and determine the shape of the lungs. The process of normalization and image improvement is needed and continued with the segmentation process using the right method. The active snake contour method is used because it is resistant to the noise around the object. The research has been usedthe Matlab software GUI program version R2015a. The image through the initial preprocessing stage is converted into a grayscale image. The segmentation process used after the initialization process in the form of a small circle curve placed of the object to be segmented and the determination position of the active contour or detemination of the active parameters of the contour. Determination of the value active contour parameters greatly influences the results of segmentation and influences the direction of active contour movement. If the active coordinate position of the contour is outside the area to be segmented it will cause active contours to move away from the object. Validation the level of accuracy of segmentation results is done by comparing the results of the snake active contour segmentation to the results of manual segmentationused MSE method
Co-Authors Zulkarnain Zulkarnain Zulkarnain