1. Analysis of gradient magnitude parameter value edge detection on x-ray image of child tuberculosis.
- Author
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Devita, Retno, Fitri, Iskandar, and Yuhandri
- Subjects
X-ray imaging ,X-ray detection ,IMAGE quality analysis ,TUBERCULOSIS ,COMMUNICABLE diseases - Abstract
Image processing is widely used in the medical field, which helps medical teams diagnose diseases patients suffer. Technology used to diagnose conditions such as X-rays, CT scans, and MRI. One of the diseases that use X-ray technology to analyze is tuberculosis. Tuberculosis (TB) is an infectious disease that causes death worldwide. The Mycobacteria tuberculosis bacillus causes TB. This disease spreads when tuberculosis sufferers release bacteria into the air. Pediatric pulmonary TB has experienced increased mortality rates and has become a challenge in diagnosing and treating it. This study uses edge detection method to analyze X-ray images of pulmonary TB in children, namely conventional edge detection(sobel operator, canny, Prewitt, Robert, zero crossing, LoG) and the development of edge detection named MEMG (Modification and Extended Magnitude Gradient). This research aims to analyze performance comparisons of operators Sobel, canny, Prewitt, Robert, zero crossing, LoG, and MEMG. The analysis to determine quality image visualization of tuberculosis used parameter variables MSE, RMSE, and PSNR for the best results among several edge detection methods. According to the calculation result by MatLab, the best edge detection is obtained with the average values of MSE at 0,37418, the RMSE at 0,6105925, and the PSNR obtained at 52,43185 dB. The importance of MSE and RMSE in the MEMG scheme is lower than the six existing edge detections, providing higher PSNR values and exceeding the standard of 30 dB. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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