期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2019
卷号：17
期号：3
页码：1317-1323
DOI：10.12928/telkomnika.v17i3.9722
出版社：Universitas Ahmad Dahlan
摘要：Filter technique is supportive for reducing image noise. This paper presents a study on filtering
medical images, i.e., CT-Scan, Chest X-ray and Panoramic X-ray collected from two of the most prominent
public hospitals in Padang City, Indonesia. The aim of this study preserved to facilitate in diagnosing
objects in x-ray medical images. This study used filter technique, i.e. Blur, Emboss, Gaussian, Laplacian,
Roberts, Sharpen, or Sobel techniques as pre-processing step. The filter process performed before edge
detection and edge clarification. MMG method used in this study to clarify the edge detection. Thus, this
research showed the hesitation decline (confidence increase) of the diagnosis of objects contained in
medical images.
其他摘要：Filter technique is supportive for reducing image noise. This paper presents a study on filtering medical images, i.e., CT-Scan, Chest X-ray and Panoramic X-ray collected from two of the most prominent public hospitals in Padang City, Indonesia. The aim of this study preserved to facilitate in diagnosing objects in x-ray medical images. This study used filter technique, i.e. Blur, Emboss, Gaussian, Laplacian, Roberts, Sharpen, or Sobel techniques as pre-processing step. The filter process performed before edge detection and edge clarification. MMG method used in this study to clarify the edge detection. Thus, this research showed the hesitation decline (confidence increase) of the diagnosis of objects contained in medical images.
