Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig
碩士 === 國立臺灣科技大學 === 電機工程系 === 106 === In ultrasonic mode (Bmode) imaging, beam imaging usually estimates the position of the object by the concept of time delay, and judges the optimal sound velocity of the image by comparison analysis after imaging. The result is not due to different methods. The s...
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ndltd-TW-106NTUS54421352019-05-16T00:59:41Z http://ndltd.ncl.edu.tw/handle/6z3gkp Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig 基於雙邊濾波係數之超音波成像聲速分析 Yu-Fa Lo 羅煜發 碩士 國立臺灣科技大學 電機工程系 106 In ultrasonic mode (Bmode) imaging, beam imaging usually estimates the position of the object by the concept of time delay, and judges the optimal sound velocity of the image by comparison analysis after imaging. The result is not due to different methods. The same, so we will unify the quantitative analysis, and the method of judging the analysis according to different methods is also different. In the comparison of image diffusion edge sharpness and double-pass filtering edge judgment, the main detection method is to judge the best sound velocity according to the edge sharpness of imaging, but before using the two methods, we will also image the pure image. To do the analysis and comparison of brightness, and to divide into the two methods of the brightest point analysis and the average brightness analysis. Because the result of the average brightness analysis method is different from the expected result, the brightest point analysis method is finally adopted for comparison. The comparison between the simulation and the experimental mid-term results is roughly the same, but in the non-focus area, the best sound velocity cannot be accurately determined, which is estimated as part of the discussion. Che-Chou Shen 沈哲州 2018 學位論文 ; thesis 62 zh-TW |
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碩士 === 國立臺灣科技大學 === 電機工程系 === 106 === In ultrasonic mode (Bmode) imaging, beam imaging usually estimates the position of the object by the concept of time delay, and judges the optimal sound velocity of the image by comparison analysis after imaging. The result is not due to different methods. The same, so we will unify the quantitative analysis, and the method of judging the analysis according to different methods is also different.
In the comparison of image diffusion edge sharpness and double-pass filtering edge judgment, the main detection method is to judge the best sound velocity according to the edge sharpness of imaging, but before using the two methods, we will also image the pure image. To do the analysis and comparison of brightness, and to divide into the two methods of the brightest point analysis and the average brightness analysis. Because the result of the average brightness analysis method is different from the expected result, the brightest point analysis method is finally adopted for comparison. The comparison between the simulation and the experimental mid-term results is roughly the same, but in the non-focus area, the best sound velocity cannot be accurately determined, which is estimated as part of the discussion.
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Che-Chou Shen |
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Che-Chou Shen Yu-Fa Lo 羅煜發 |
author |
Yu-Fa Lo 羅煜發 |
spellingShingle |
Yu-Fa Lo 羅煜發 Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
author_sort |
Yu-Fa Lo |
title |
Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
title_short |
Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
title_full |
Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
title_fullStr |
Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
title_full_unstemmed |
Optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
title_sort |
optmization of ultrasound bemforming sound velocity using coefficients in bilateral filterig |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/6z3gkp |
work_keys_str_mv |
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