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All Journal Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
A. T. A Prawira Kusuma
Universitas Udayana
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER I Made Oka Widyantara; A. T. A Prawira Kusuma; N. M. A. E. Dewi Wirastuti
Jurnal Teknologi Elektro Vol 14 No 2 (2015): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.812 KB) | DOI: 10.24843/MITE.2015.v14i02p02

Abstract

This paper propose a preprocessing techniques in lung segmentation scheme using Anisotropic Diffusion filters. The aim is to improve the accuracy, sensitivity and specificity results of segmentation. This method was chosen because it has the ability to detect the edge, namely in doing smoothing, this method can obscure noise, while maintaining the edges of objects in the image. Characteristics such as this is needed to process medical image filter, where the boundary between the organ and the background is not so clear. The segmentation process is done by K-means Clustering and Active Contour to segment the lungs. Segmentation results were validated using the Receiver Operating Characteristic (ROC) showed an increased accuracy, sensitivity and specificity, when compared with the results of segmentation in the previous paper, in which the preprocessing method used is Gaussian Lowpass filter.
PREPROCESSING PADA SEGMENTASI CITRA PARU-PARU DAN JANTUNG MENGGUNAKAN ANISOTROPIC DIFFUSION FILTER I Made Oka Widyantara; A. T. A Prawira Kusuma; N. M. A. E. Dewi Wirastuti
Jurnal Teknologi Elektro Vol 14 No 2 (2015): (July - December) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2015.v14i02p02

Abstract

This paper propose a preprocessing techniques in lung segmentation scheme using Anisotropic Diffusion filters. The aim is to improve the accuracy, sensitivity and specificity results of segmentation. This method was chosen because it has the ability to detect the edge, namely in doing smoothing, this method can obscure noise, while maintaining the edges of objects in the image. Characteristics such as this is needed to process medical image filter, where the boundary between the organ and the background is not so clear. The segmentation process is done by K-means Clustering and Active Contour to segment the lungs. Segmentation results were validated using the Receiver Operating Characteristic (ROC) showed an increased accuracy, sensitivity and specificity, when compared with the results of segmentation in the previous paper, in which the preprocessing method used is Gaussian Lowpass filter.
Co-Authors I Made Oka Widyantara N. M. A. E. Dewi Wirastuti Ni Made Ary Esta Dewi Wirastuti